{ "status": "partial-quota", "model": "k3.1-pro", "version": "Kimi K3.1 Pro", "endpoint": "https://api.kimi.com/coding", "suiteVersion": "tasks-2026-09-26.1", "params": { "systemPrompt": "", "temperature": null, "topP": null, "samplingParametersOmitted": true, "maxTokens": 12288, "timeoutMs": 600000, "maxTokenAccounting": "Anthropic max_tokens includes thinking and final output; no separate thinking.budget_tokens configured.", "promptTokenAccounting": "Normalized promptTokens = usage.input_tokens + usage.cache_read_input_tokens + usage.cache_creation_input_tokens; raw usage fields preserved." }, "effort": "Native output_config.effort low/max; omitted effort defaults to max.", "modes": { "default": { "zh": "请求默认参数（文档为 max）", "en": "Requested default (documented max)" }, "low": { "zh": "请求参数 · low", "en": "Requested parameter · low" }, "max": { "zh": "请求参数 · max", "en": "Requested parameter · max" } }, "measurementOrigin": "Local macOS client; official Kimi Coding Plan native Anthropic Messages endpoint; at most three simultaneous requests; no inference region claim.", "attempts": [ { "id": "extract-1", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 1", "titleEn": "Contact extraction 1", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：林桐，28 岁，目前居住在杭州。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "林桐", "age": 28, "city": "杭州", "email": null }, "mode": "default", "status": "error", "text": "", "startedAt": "2026-10-24T01:41:49.321Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：林桐，28 岁，目前居住在杭州。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true }, "firstContentMs": null, "firstReasoningMs": null, "firstEventMs": null, "usage": null, "finishReason": null, "error": "HTTP 429: {\"error\":{\"type\":\"rate_limit_error\",\"message\":\"You've reached your 5-hour usage limit. Your quota will reset when the current 5-hour window ends. To continue now, purchase extra usage or upgrade your plan: https://www.kimi.com/membership/subscription?tab=quota\"},\"type\":\"error\"}", "returnedModel": null, "httpStatus": 429, "transport": "node:https", "errorCode": null, "finishedAt": "2026-10-24T01:41:49.492Z", "totalMs": 171.5272920000134, "promptTokens": null, "outputTokens": null, "reasoningTokens": null, "pass": false }, { "id": "extract-1", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 1", "titleEn": "Contact extraction 1", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：林桐，28 岁，目前居住在杭州。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "林桐", "age": 28, "city": "杭州", "email": null }, "mode": "low", "status": "done", "text": "{\"name\":\"林桐\",\"age\":28,\"city\":\"杭州\",\"email\":null}", "startedAt": "2026-10-24T01:32:57.711Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：林桐，28 岁，目前居住在杭州。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 3313.954333999951, "firstReasoningMs": 2590.0957499999786, "firstEventMs": 2590.0954589999747, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 160, "output_tokens": 56, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 23 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:01.104Z", "totalMs": 3393.694709000003, "promptTokens": 160, "outputTokens": 56, "reasoningTokens": 23, "pass": true }, { "id": "extract-2", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 2", "titleEn": "Contact extraction 2", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：李明，36 岁，目前居住在成都。电子邮件为 li@example.test。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "李明", "age": 36, "city": "成都", "email": "li@example.test" }, "mode": "low", "status": "done", "text": "{\"name\":\"李明\",\"age\":36,\"city\":\"成都\",\"email\":\"li@example.test\"}", "startedAt": "2026-10-24T01:33:01.107Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：李明，36 岁，目前居住在成都。电子邮件为 li@example.test。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 3552.766957999964, "firstReasoningMs": 2107.9312909999862, "firstEventMs": 2107.930915999983, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 162, "output_tokens": 110, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 75 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:04.661Z", "totalMs": 3553.356124999991, "promptTokens": 162, "outputTokens": 110, "reasoningTokens": 75, "pass": true }, { "id": "extract-3", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 3", "titleEn": "Contact extraction 3", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：陈夏，22 岁，目前居住在南京。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "陈夏", "age": 22, "city": "南京", "email": null }, "mode": "low", "status": "done", "text": "{\"name\":\"陈夏\",\"age\":22,\"city\":\"南京\",\"email\":null}", "startedAt": "2026-10-24T01:33:04.664Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：陈夏，22 岁，目前居住在南京。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 3944.6441249999916, "firstReasoningMs": 2874.243124999979, "firstEventMs": 2874.242749999976, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 160, "output_tokens": 69, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 36 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:08.611Z", "totalMs": 3946.193290999974, "promptTokens": 160, "outputTokens": 69, "reasoningTokens": 36, "pass": true }, { "id": "extract-4", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 4", "titleEn": "Contact extraction 4", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：周舟，41 岁，目前居住在苏州。电子邮件为 zhou@example.test。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "周舟", "age": 41, "city": "苏州", "email": "zhou@example.test" }, "mode": "low", "status": "done", "text": "{\"name\":\"周舟\",\"age\":41,\"city\":\"苏州\",\"email\":\"zhou@example.test\"}", "startedAt": "2026-10-24T01:33:08.615Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：周舟，41 岁，目前居住在苏州。电子邮件为 zhou@example.test。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 3578.008375000034, "firstReasoningMs": 2590.2983329999843, "firstEventMs": 2590.29800000001, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 164, "output_tokens": 78, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 42 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:12.195Z", "totalMs": 3580.4870409999858, "promptTokens": 164, "outputTokens": 78, "reasoningTokens": 42, "pass": true }, { "id": "extract-5", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 5", "titleEn": "Contact extraction 5", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：吴雨，30 岁，目前居住在武汉。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "吴雨", "age": 30, "city": "武汉", "email": null }, "mode": "low", "status": "done", "text": "{\"name\":\"吴雨\",\"age\":30,\"city\":\"武汉\",\"email\":null}", "startedAt": "2026-10-24T01:33:12.198Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：吴雨，30 岁，目前居住在武汉。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 3555.2164999999804, "firstReasoningMs": 2624.826040999964, "firstEventMs": 2624.825790999981, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 160, "output_tokens": 74, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 41 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:15.807Z", "totalMs": 3609.6606249999604, "promptTokens": 160, "outputTokens": 74, "reasoningTokens": 41, "pass": true }, { "id": "format-1", "title": "保序去重", "titleEn": "Stable deduplication", "prompt": "把以下编号去重并保持首次出现的顺序：B2,A1,B2,C3,A1,D4。只输出用英文逗号连接的编号，不要空格、标题或解释。", "expected": "B2,A1,C3,D4", "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "low", "status": "done", "text": "B2,A1,C3,D4", "startedAt": "2026-10-24T01:33:15.817Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "把以下编号去重并保持首次出现的顺序：B2,A1,B2,C3,A1,D4。只输出用英文逗号连接的编号，不要空格、标题或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2810.7972079999745, "firstReasoningMs": 2090.1520829999936, "firstEventMs": 2090.151291999966, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 125, "output_tokens": 47, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 24 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:18.634Z", "totalMs": 2817.3988329999847, "promptTokens": 125, "outputTokens": 47, "reasoningTokens": 24, "pass": true }, { "id": "format-2", "title": "限定字段", "titleEn": "Exact fields", "prompt": "仅输出 JSON 对象，且恰好包含 status 和 count 两个字段。status 的值必须为字符串 \"ready\"，count 必须为数字 3。不要 Markdown、解释或额外字段。", "expected": { "status": "ready", "count": 3 }, "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "low", "status": "done", "text": "{\"status\":\"ready\",\"count\":3}", "startedAt": "2026-10-24T01:33:18.637Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "仅输出 JSON 对象，且恰好包含 status 和 count 两个字段。status 的值必须为字符串 \"ready\"，count 必须为数字 3。不要 Markdown、解释或额外字段。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2147.268624999968, "firstReasoningMs": 1303.0792919999803, "firstEventMs": 1303.078749999986, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 126, "output_tokens": 65, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 41 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:20.791Z", "totalMs": 2153.969832999981, "promptTokens": 126, "outputTokens": 65, "reasoningTokens": 41, "pass": true }, { "id": "format-3", "title": "严格排序", "titleEn": "Ordered output", "prompt": "将数值 12、3、25、8 按从小到大排序。只输出 JSON 数组，元素为数字。不要解释或代码围栏。", "expected": [ 3, 8, 12, 25 ], "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "low", "status": "done", "text": "[3, 8, 12, 25]", "startedAt": "2026-10-24T01:33:20.795Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "将数值 12、3、25、8 按从小到大排序。只输出 JSON 数组，元素为数字。不要解释或代码围栏。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 1772.6983749999781, "firstReasoningMs": 781.5182919999934, "firstEventMs": 781.5178339999984, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 117, "output_tokens": 84, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 57 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:22.614Z", "totalMs": 1819.2079999999842, "promptTokens": 117, "outputTokens": 84, "reasoningTokens": 57, "pass": true }, { "id": "format-4", "title": "大小写与换行", "titleEn": "Case and line breaks", "prompt": "按原顺序将 apple、pear、plum 转为英文大写，每行一个单词。总共三行，不要编号、标点、空行或解释。", "expected": "APPLE\nPEAR\nPLUM", "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "low", "status": "done", "text": "APPLE\nPEAR\nPLUM", "startedAt": "2026-10-24T01:33:22.617Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "按原顺序将 apple、pear、plum 转为英文大写，每行一个单词。总共三行，不要编号、标点、空行或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2577.8881670000264, "firstReasoningMs": 1311.4791250000126, "firstEventMs": 1311.4781250000233, "usage": { "input_tokens": 121, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 42, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 21 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:25.202Z", "totalMs": 2584.9376670000493, "promptTokens": 121, "outputTokens": 42, "reasoningTokens": 21, "pass": true }, { "id": "format-5", "title": "指定分隔符", "titleEn": "Required delimiter", "prompt": "提取下面三个工单号，保持顺序：工单 TX-103 已关闭；工单 TX-207 正在处理；工单 TX-309 待分配。只用英文竖线连接三个编号，不要空格或解释。", "expected": "TX-103|TX-207|TX-309", "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "low", "status": "done", "text": "TX-103|TX-207|TX-309", "startedAt": "2026-10-24T01:33:25.206Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "提取下面三个工单号，保持顺序：工单 TX-103 已关闭；工单 TX-207 正在处理；工单 TX-309 待分配。只用英文竖线连接三个编号，不要空格或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2304.508124999993, "firstReasoningMs": 1562.333459000045, "firstEventMs": 1562.3327500000014, "usage": { "input_tokens": 132, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 73, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 47 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:27.524Z", "totalMs": 2318.270125000039, "promptTokens": 132, "outputTokens": 73, "reasoningTokens": 47, "pass": true }, { "id": "grounded-1", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 1", "titleEn": "Grounded question answering 1", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：北区仓库今天收到 12 件货物，其中 3 件损坏，不可使用。下一次送货安排在周二。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 9, "nextDelivery": "周二", "manager": null }, "mode": "low", "status": "done", "text": "{\"usable\":9,\"nextDelivery\":\"周二\",\"manager\":null}", "startedAt": "2026-10-24T01:33:27.527Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：北区仓库今天收到 12 件货物，其中 3 件损坏，不可使用。下一次送货安排在周二。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2164.904375000042, "firstReasoningMs": 1272.4329580000485, "firstEventMs": 1272.4326670000446, "usage": { "input_tokens": 184, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 74, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 45 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:29.693Z", "totalMs": 2165.9973330000066, "promptTokens": 184, "outputTokens": 74, "reasoningTokens": 45, "pass": true }, { "id": "grounded-2", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 2", "titleEn": "Grounded question answering 2", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：南区仓库今天收到 20 件货物，其中 4 件损坏，不可使用。下一次送货安排在周三。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 16, "nextDelivery": "周三", "manager": null }, "mode": "low", "status": "done", "text": "{\"usable\":16,\"nextDelivery\":\"周三\",\"manager\":null}", "startedAt": "2026-10-24T01:33:29.698Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：南区仓库今天收到 20 件货物，其中 4 件损坏，不可使用。下一次送货安排在周三。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2892.9927920000046, "firstReasoningMs": 1500.613874999981, "firstEventMs": 1500.613416999986, "usage": { "input_tokens": 184, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 95, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 66 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:32.592Z", "totalMs": 2893.2870840000105, "promptTokens": 184, "outputTokens": 95, "reasoningTokens": 66, "pass": true }, { "id": "grounded-3", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 3", "titleEn": "Grounded question answering 3", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：东区仓库今天收到 18 件货物，其中 6 件损坏，不可使用。下一次送货安排在周四。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 12, "nextDelivery": "周四", "manager": null }, "mode": "low", "status": "done", "text": "{\"usable\":12,\"nextDelivery\":\"周四\",\"manager\":null}", "startedAt": "2026-10-24T01:33:32.593Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：东区仓库今天收到 18 件货物，其中 6 件损坏，不可使用。下一次送货安排在周四。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2247.970666999987, "firstReasoningMs": 1607.554124999966, "firstEventMs": 1607.5537089999998, "usage": { "input_tokens": 184, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 45, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 16 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:34.973Z", "totalMs": 2379.9145000000135, "promptTokens": 184, "outputTokens": 45, "reasoningTokens": 16, "pass": true }, { "id": "grounded-4", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 4", "titleEn": "Grounded question answering 4", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：西区仓库今天收到 25 件货物，其中 5 件损坏，不可使用。下一次送货安排在周五。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 20, "nextDelivery": "周五", "manager": null }, "mode": "low", "status": "done", "text": "{\"usable\":20,\"nextDelivery\":\"周五\",\"manager\":null}", "startedAt": "2026-10-24T01:33:34.977Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：西区仓库今天收到 25 件货物，其中 5 件损坏，不可使用。下一次送货安排在周五。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2787.851207999978, "firstReasoningMs": 1614.8256670000264, "firstEventMs": 1614.825124999974, "usage": { "input_tokens": 184, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 85, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 56 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:37.809Z", "totalMs": 2831.757916999981, "promptTokens": 184, "outputTokens": 85, "reasoningTokens": 56, "pass": true }, { "id": "grounded-5", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 5", "titleEn": "Grounded question answering 5", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：中区仓库今天收到 16 件货物，其中 2 件损坏，不可使用。下一次送货安排在周一。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 14, "nextDelivery": "周一", "manager": null }, "mode": "low", "status": "done", "text": "{\"usable\":14,\"nextDelivery\":\"周一\",\"manager\":null}", "startedAt": "2026-10-24T01:33:37.815Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：中区仓库今天收到 16 件货物，其中 2 件损坏，不可使用。下一次送货安排在周一。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2366.6287090000114, "firstReasoningMs": 1548.2874999999767, "firstEventMs": 1548.28695899999, "usage": { "input_tokens": 184, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 51, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 22 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:40.188Z", "totalMs": 2373.7609999999986, "promptTokens": 184, "outputTokens": 51, "reasoningTokens": 22, "pass": true }, { "id": "extract-1", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 1", "titleEn": "Contact extraction 1", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：林桐，28 岁，目前居住在杭州。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "林桐", "age": 28, "city": "杭州", "email": null }, "mode": "max", "status": "done", "text": "{\"name\":\"林桐\",\"age\":28,\"city\":\"杭州\",\"email\":null}", "startedAt": "2026-10-24T01:38:21.470Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：林桐，28 岁，目前居住在杭州。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 4260.434582999907, "firstReasoningMs": 2623.0225830000127, "firstEventMs": 2623.022291000001, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 159, "output_tokens": 110, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 77 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:25.731Z", "totalMs": 4261.383333000005, "promptTokens": 159, "outputTokens": 110, "reasoningTokens": 77, "pass": true }, { "id": "extract-2", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 2", "titleEn": "Contact extraction 2", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：李明，36 岁，目前居住在成都。电子邮件为 li@example.test。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "李明", "age": 36, "city": "成都", "email": "li@example.test" }, "mode": "max", "status": "done", "text": "{\"name\":\"李明\",\"age\":36,\"city\":\"成都\",\"email\":\"li@example.test\"}", "startedAt": "2026-10-24T01:38:25.734Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：李明，36 岁，目前居住在成都。电子邮件为 li@example.test。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 4310.1398749999935, "firstReasoningMs": 2541.2631249999395, "firstEventMs": 2541.262832999928, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 161, "output_tokens": 153, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 118 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:30.045Z", "totalMs": 4310.8720419999445, "promptTokens": 161, "outputTokens": 153, "reasoningTokens": 118, "pass": true }, { "id": "extract-3", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 3", "titleEn": "Contact extraction 3", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：陈夏，22 岁，目前居住在南京。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "陈夏", "age": 22, "city": "南京", "email": null }, "mode": "max", "status": "done", "text": "{\"name\":\"陈夏\",\"age\":22,\"city\":\"南京\",\"email\":null}", "startedAt": "2026-10-24T01:38:30.048Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：陈夏，22 岁，目前居住在南京。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 3778.889582999982, "firstReasoningMs": 2601.0681249999907, "firstEventMs": 2601.067541999975, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 159, "output_tokens": 95, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 62 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:33.832Z", "totalMs": 3783.905541999964, "promptTokens": 159, "outputTokens": 95, "reasoningTokens": 62, "pass": true }, { "id": "extract-4", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 4", "titleEn": "Contact extraction 4", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：周舟，41 岁，目前居住在苏州。电子邮件为 zhou@example.test。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "周舟", "age": 41, "city": "苏州", "email": "zhou@example.test" }, "mode": "max", "status": "done", "text": "{\"name\":\"周舟\",\"age\":41,\"city\":\"苏州\",\"email\":\"zhou@example.test\"}", "startedAt": "2026-10-24T01:38:33.835Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：周舟，41 岁，目前居住在苏州。电子邮件为 zhou@example.test。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 4675.230667000054, "firstReasoningMs": 2627.3475839999737, "firstEventMs": 2627.346375000081, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 163, "output_tokens": 138, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 102 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:38.511Z", "totalMs": 4675.804125000024, "promptTokens": 163, "outputTokens": 138, "reasoningTokens": 102, "pass": true }, { "id": "extract-5", "version": "tasks-2026-09-26.1", "category": "extraction", "title": "联系信息抽取 5", "titleEn": "Contact extraction 5", "prompt": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：吴雨，30 岁，目前居住在武汉。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。", "expected": { "name": "吴雨", "age": 30, "city": "武汉", "email": null }, "mode": "max", "status": "done", "text": "{\"name\":\"吴雨\",\"age\":30,\"city\":\"武汉\",\"email\":null}", "startedAt": "2026-10-24T01:38:38.515Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "从以下资料提取联系信息。只输出一个 JSON 对象，恰好包含 name、age、city、email 四个字段；age 为数字，未提供的 email 为 null。不要 Markdown 或解释。\n资料：吴雨，30 岁，目前居住在武汉。未提供电子邮件。历史备注提到曾在北京出差，不是现居城市。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 4786.6090829999885, "firstReasoningMs": 2956.872250000015, "firstEventMs": 2956.871625000029, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 159, "output_tokens": 136, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 103 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:43.302Z", "totalMs": 4787.2036249999655, "promptTokens": 159, "outputTokens": 136, "reasoningTokens": 103, "pass": true }, { "id": "format-1", "title": "保序去重", "titleEn": "Stable deduplication", "prompt": "把以下编号去重并保持首次出现的顺序：B2,A1,B2,C3,A1,D4。只输出用英文逗号连接的编号，不要空格、标题或解释。", "expected": "B2,A1,C3,D4", "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "max", "status": "done", "text": "B2,A1,C3,D4", "startedAt": "2026-10-24T01:38:43.305Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "把以下编号去重并保持首次出现的顺序：B2,A1,B2,C3,A1,D4。只输出用英文逗号连接的编号，不要空格、标题或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 3629.458209000062, "firstReasoningMs": 2165.641750000068, "firstEventMs": 2165.6407090000575, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 124, "output_tokens": 133, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 110 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:46.935Z", "totalMs": 3629.920625000028, "promptTokens": 124, "outputTokens": 133, "reasoningTokens": 110, "pass": true }, { "id": "format-2", "title": "限定字段", "titleEn": "Exact fields", "prompt": "仅输出 JSON 对象，且恰好包含 status 和 count 两个字段。status 的值必须为字符串 \"ready\"，count 必须为数字 3。不要 Markdown、解释或额外字段。", "expected": { "status": "ready", "count": 3 }, "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "max", "status": "done", "text": "{\"status\":\"ready\",\"count\":3}", "startedAt": "2026-10-24T01:38:46.939Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "仅输出 JSON 对象，且恰好包含 status 和 count 两个字段。status 的值必须为字符串 \"ready\"，count 必须为数字 3。不要 Markdown、解释或额外字段。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 3541.626624999917, "firstReasoningMs": 2595.597415999975, "firstEventMs": 2595.5968329999596, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 125, "output_tokens": 72, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 48 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:50.514Z", "totalMs": 3575.3787079999456, "promptTokens": 125, "outputTokens": 72, "reasoningTokens": 48, "pass": true }, { "id": "format-3", "title": "严格排序", "titleEn": "Ordered output", "prompt": "将数值 12、3、25、8 按从小到大排序。只输出 JSON 数组，元素为数字。不要解释或代码围栏。", "expected": [ 3, 8, 12, 25 ], "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "max", "status": "done", "text": "[3, 8, 12, 25]", "startedAt": "2026-10-24T01:38:50.519Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "将数值 12、3、25、8 按从小到大排序。只输出 JSON 数组，元素为数字。不要解释或代码围栏。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 2392.6277080000145, "firstReasoningMs": 1137.3504160000011, "firstEventMs": 1137.3497080000816, "usage": { "input_tokens": 0, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 116, "output_tokens": 92, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 65 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:52.913Z", "totalMs": 2393.2987910000375, "promptTokens": 116, "outputTokens": 92, "reasoningTokens": 65, "pass": true }, { "id": "format-4", "title": "大小写与换行", "titleEn": "Case and line breaks", "prompt": "按原顺序将 apple、pear、plum 转为英文大写，每行一个单词。总共三行，不要编号、标点、空行或解释。", "expected": "APPLE\nPEAR\nPLUM", "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "max", "status": "done", "text": "APPLE\nPEAR\nPLUM", "startedAt": "2026-10-24T01:38:52.918Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "按原顺序将 apple、pear、plum 转为英文大写，每行一个单词。总共三行，不要编号、标点、空行或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 2879.78354199999, "firstReasoningMs": 1153.4588750000112, "firstEventMs": 1153.458333000075, "usage": { "input_tokens": 120, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 125, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 104 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:55.798Z", "totalMs": 2879.9237500000745, "promptTokens": 120, "outputTokens": 125, "reasoningTokens": 104, "pass": true }, { "id": "format-5", "title": "指定分隔符", "titleEn": "Required delimiter", "prompt": "提取下面三个工单号，保持顺序：工单 TX-103 已关闭；工单 TX-207 正在处理；工单 TX-309 待分配。只用英文竖线连接三个编号，不要空格或解释。", "expected": "TX-103|TX-207|TX-309", "category": "instruction", "version": "tasks-2026-09-26.1", "mode": "max", "status": "done", "text": "TX-103|TX-207|TX-309", "startedAt": "2026-10-24T01:38:55.800Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "提取下面三个工单号，保持顺序：工单 TX-103 已关闭；工单 TX-207 正在处理；工单 TX-309 待分配。只用英文竖线连接三个编号，不要空格或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 2823.6559579999885, "firstReasoningMs": 1411.2764579999493, "firstEventMs": 1411.2757920000004, "usage": { "input_tokens": 131, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 98, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 72 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:38:58.624Z", "totalMs": 2824.586250000051, "promptTokens": 131, "outputTokens": 98, "reasoningTokens": 72, "pass": true }, { "id": "grounded-1", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 1", "titleEn": "Grounded question answering 1", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：北区仓库今天收到 12 件货物，其中 3 件损坏，不可使用。下一次送货安排在周二。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 9, "nextDelivery": "周二", "manager": null }, "mode": "max", "status": "done", "text": "{\"usable\":9,\"nextDelivery\":\"周二\",\"manager\":null}", "startedAt": "2026-10-24T01:38:58.636Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：北区仓库今天收到 12 件货物，其中 3 件损坏，不可使用。下一次送货安排在周二。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 2919.6747500000056, "firstReasoningMs": 1171.1832080000313, "firstEventMs": 1171.1820000000298, "usage": { "input_tokens": 183, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 149, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 120 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:39:01.556Z", "totalMs": 2919.8705410000402, "promptTokens": 183, "outputTokens": 149, "reasoningTokens": 120, "pass": true }, { "id": "grounded-2", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 2", "titleEn": "Grounded question answering 2", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：南区仓库今天收到 20 件货物，其中 4 件损坏，不可使用。下一次送货安排在周三。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 16, "nextDelivery": "周三", "manager": null }, "mode": "max", "status": "done", "text": "{\"usable\":16,\"nextDelivery\":\"周三\",\"manager\":null}", "startedAt": "2026-10-24T01:39:01.557Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：南区仓库今天收到 20 件货物，其中 4 件损坏，不可使用。下一次送货安排在周三。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 3360.980749999988, "firstReasoningMs": 1366.1245000000345, "firstEventMs": 1366.124208000023, "usage": { "input_tokens": 183, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 126, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 97 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:39:04.919Z", "totalMs": 3361.935415999964, "promptTokens": 183, "outputTokens": 126, "reasoningTokens": 97, "pass": true }, { "id": "grounded-3", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 3", "titleEn": "Grounded question answering 3", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：东区仓库今天收到 18 件货物，其中 6 件损坏，不可使用。下一次送货安排在周四。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 12, "nextDelivery": "周四", "manager": null }, "mode": "max", "status": "done", "text": "{\"usable\":12,\"nextDelivery\":\"周四\",\"manager\":null}", "startedAt": "2026-10-24T01:39:04.922Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：东区仓库今天收到 18 件货物，其中 6 件损坏，不可使用。下一次送货安排在周四。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 3935.749542000005, "firstReasoningMs": 1491.6664999999339, "firstEventMs": 1491.6655829999363, "usage": { "input_tokens": 183, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 178, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 149 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:39:08.858Z", "totalMs": 3936.3906669999706, "promptTokens": 183, "outputTokens": 178, "reasoningTokens": 149, "pass": true }, { "id": "grounded-4", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 4", "titleEn": "Grounded question answering 4", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：西区仓库今天收到 25 件货物，其中 5 件损坏，不可使用。下一次送货安排在周五。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 20, "nextDelivery": "周五", "manager": null }, "mode": "max", "status": "done", "text": "{\"usable\":20,\"nextDelivery\":\"周五\",\"manager\":null}", "startedAt": "2026-10-24T01:39:08.862Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：西区仓库今天收到 25 件货物，其中 5 件损坏，不可使用。下一次送货安排在周五。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 3551.582374999998, "firstReasoningMs": 1407.7283750000643, "firstEventMs": 1407.7278330000117, "usage": { "input_tokens": 183, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 133, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 104 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:39:12.414Z", "totalMs": 3552.1352500000503, "promptTokens": 183, "outputTokens": 133, "reasoningTokens": 104, "pass": true }, { "id": "grounded-5", "version": "tasks-2026-09-26.1", "category": "grounded-qa", "title": "材料问答 5", "titleEn": "Grounded question answering 5", "prompt": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：中区仓库今天收到 16 件货物，其中 2 件损坏，不可使用。下一次送货安排在周一。仓库负责人姓名没有记载。旧计划曾写周日，已作废。", "expected": { "usable": 14, "nextDelivery": "周一", "manager": null }, "mode": "max", "status": "done", "text": "{\"usable\":14,\"nextDelivery\":\"周一\",\"manager\":null}", "startedAt": "2026-10-24T01:39:12.420Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "只根据以下材料回答。输出恰好包含 usable、nextDelivery、manager 三个字段的 JSON 对象，不要额外文字。usable 是可用件数（数字），nextDelivery 是下一次送货时间（字符串），材料未说明的信息用 null，不能猜测。\n材料：中区仓库今天收到 16 件货物，其中 2 件损坏，不可使用。下一次送货安排在周一。仓库负责人姓名没有记载。旧计划曾写周日，已作废。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 3112.1647499999963, "firstReasoningMs": 1419.2839590000222, "firstEventMs": 1419.2833340000361, "usage": { "input_tokens": 183, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 121, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 92 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:39:15.533Z", "totalMs": 3112.3839170000283, "promptTokens": 183, "outputTokens": 121, "reasoningTokens": 92, "pass": true } ], "coding": [ { "id": "code-money", "title": "金额转换：拒绝非法输入，避免浮点误差", "titleEn": "Money parsing without rounding invalid inputs", "prompt": "写 JavaScript 函数 parseCents(value)。value 必须是字符串：允许两端空白；只接受非负十进制金额，整数部分至少一位，小数最多两位；拒绝指数写法、符号、千分位、Infinity、空串、超过两位小数。返回整数分数，超过 Number.MAX_SAFE_INTEGER 则返回 null。非法类型或格式返回 null。不能把非法值四舍五入成合法值。只输出函数代码，不要 Markdown 或解释。", "checks": "const cases=[['0',0],[' 12.30 ',1230],['0.29',29],['1.2',120],['0001.02',102],['1.234',null],['-1',null],['+1',null],['1e3',null],['',null],['.5',null],['1.',null],['Infinity',null],['1,000',null],[null,null],[1,null],['90071992547409.91',9007199254740991],['90071992547409.92',null]]; for (const [input,want] of cases) if(parseCents(input)!==want) throw Error('Failed '+JSON.stringify(input));", "checkCount": 18, "category": "coding", "version": "code-small-functions-v1", "mode": "low", "status": "done", "text": "function parseCents(value) {\n if (typeof value !== 'string') return null;\n\n const input = value.trim();\n if (!/^\\d+(?:\\.\\d{1,2})?$/.test(input)) return null;\n\n const [whole, fraction = ''] = input.split('.');\n const cents = BigInt(whole) * 100n + BigInt((fraction + '00').slice(0, 2));\n\n return cents > BigInt(Number.MAX_SAFE_INTEGER) ? null : Number(cents);\n}", "startedAt": "2026-10-24T01:33:40.191Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "写 JavaScript 函数 parseCents(value)。value 必须是字符串：允许两端空白；只接受非负十进制金额，整数部分至少一位，小数最多两位；拒绝指数写法、符号、千分位、Infinity、空串、超过两位小数。返回整数分数，超过 Number.MAX_SAFE_INTEGER 则返回 null。非法类型或格式返回 null。不能把非法值四舍五入成合法值。只输出函数代码，不要 Markdown 或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 11194.717582999961, "firstReasoningMs": 1261.1029169999529, "firstEventMs": 1261.1016669999808, "usage": { "input_tokens": 184, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 652, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 525 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:51.412Z", "totalMs": 11220.59362499998, "promptTokens": 184, "outputTokens": 652, "reasoningTokens": 525, "executable": "function parseCents(value) {\n if (typeof value !== 'string') return null;\n\n const input = value.trim();\n if (!/^\\d+(?:\\.\\d{1,2})?$/.test(input)) return null;\n\n const [whole, fraction = ''] = input.split('.');\n const cents = BigInt(whole) * 100n + BigInt((fraction + '00').slice(0, 2));\n\n return cents > BigInt(Number.MAX_SAFE_INTEGER) ? null : Number(cents);\n}", "pass": true, "checkError": null }, { "id": "code-dedupe", "title": "保序去重：安全处理特殊键且不修改输入", "titleEn": "Stable deduplication with special property names", "prompt": "写 JavaScript 函数 uniqueById(items)。items 是对象数组，每个对象有字符串 id 字段。保留每个 id 首次出现的原对象和原顺序，不修改输入或任何对象；空数组返回空数组。id 可为 __proto__、constructor 或空字符串。只输出函数代码，不要 Markdown 或解释。", "checks": "const a={id:'__proto__',value:1},b={id:'constructor'},c={id:''},d={id:'x'};const input=Object.freeze([a,b,{id:'__proto__'},c,{id:''},d,{id:'constructor'}]);const got=uniqueById(input);if(got.length!==4||got[0]!==a||got[1]!==b||got[2]!==c||got[3]!==d)throw Error('Wrong identity or order');if(uniqueById([]).length!==0)throw Error('Empty');if(input.length!==7||a.value!==1)throw Error('Mutation');", "checkCount": 3, "category": "coding", "version": "code-small-functions-v1", "mode": "low", "status": "done", "text": "function uniqueById(items) {\n const seen = new Set();\n const result = [];\n\n for (const item of items) {\n if (!seen.has(item.id)) {\n seen.add(item.id);\n result.push(item);\n }\n }\n\n return result;\n}", "startedAt": "2026-10-24T01:33:51.415Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "写 JavaScript 函数 uniqueById(items)。items 是对象数组，每个对象有字符串 id 字段。保留每个 id 首次出现的原对象和原顺序，不修改输入或任何对象；空数组返回空数组。id 可为 __proto__、constructor 或空字符串。只输出函数代码，不要 Markdown 或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 4598.087916999997, "firstReasoningMs": 1513.5182500000228, "firstEventMs": 1513.5172080000048, "usage": { "input_tokens": 159, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 201, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 129 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:33:56.089Z", "totalMs": 4673.550250000029, "promptTokens": 159, "outputTokens": 201, "reasoningTokens": 129, "executable": "function uniqueById(items) {\n const seen = new Set();\n const result = [];\n\n for (const item of items) {\n if (!seen.has(item.id)) {\n seen.add(item.id);\n result.push(item);\n }\n }\n\n return result;\n}", "pass": true, "checkError": null }, { "id": "code-intervals", "title": "区间合并：乱序、相邻区间与输入不可变", "titleEn": "Interval merging, touching intervals and immutability", "prompt": "写 JavaScript 函数 mergeIntervals(intervals)。输入为有限数字组成的闭区间 [start,end] 数组，保证 start<=end，输入可能乱序。返回按 start 排序的合并闭区间，相接区间也合并；不要修改输入或任何内层数组，空数组返回空数组。只输出函数代码，不要 Markdown 或解释。", "checks": "const cases=[[[[5,7],[1,3],[3,5]],[[1,7]]],[[[1,4],[2,3]],[[1,4]]],[[[0,0],[2,2]],[[0,0],[2,2]]],[[[-3,-1],[-2,0],[3,4]],[[-3,0],[3,4]]],[[],[]]];for(const [input,want] of cases){input.forEach(Object.freeze);Object.freeze(input);if(JSON.stringify(mergeIntervals(input))!==JSON.stringify(want))throw Error('Wrong merge');}", "checkCount": 5, "category": "coding", "version": "code-small-functions-v1", "mode": "low", "status": "done", "text": "function mergeIntervals(intervals) {\n if (intervals.length === 0) return [];\n\n const sorted = intervals.slice().sort((a, b) => a[0] - b[0] || a[1] - b[1]);\n const result = [];\n let start = sorted[0][0];\n let end = sorted[0][1];\n\n for (let i = 1; i < sorted.length; i++) {\n const [nextStart, nextEnd] = sorted[i];\n if (nextStart <= end) {\n if (nextEnd > end) end = nextEnd;\n } else {\n result.push([start, end]);\n start = nextStart;\n end = nextEnd;\n }\n }\n\n result.push([start, end]);\n return result;\n}", "startedAt": "2026-10-24T01:33:56.091Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "写 JavaScript 函数 mergeIntervals(intervals)。输入为有限数字组成的闭区间 [start,end] 数组，保证 start<=end，输入可能乱序。返回按 start 排序的合并闭区间，相接区间也合并；不要修改输入或任何内层数组，空数组返回空数组。只输出函数代码，不要 Markdown 或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 12082.357875000045, "firstReasoningMs": 3079.297542000015, "firstEventMs": 3079.2973340000026, "usage": { "input_tokens": 161, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 583, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 398 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:34:09.068Z", "totalMs": 12976.572917000041, "promptTokens": 161, "outputTokens": 583, "reasoningTokens": 398, "executable": "function mergeIntervals(intervals) {\n if (intervals.length === 0) return [];\n\n const sorted = intervals.slice().sort((a, b) => a[0] - b[0] || a[1] - b[1]);\n const result = [];\n let start = sorted[0][0];\n let end = sorted[0][1];\n\n for (let i = 1; i < sorted.length; i++) {\n const [nextStart, nextEnd] = sorted[i];\n if (nextStart <= end) {\n if (nextEnd > end) end = nextEnd;\n } else {\n result.push([start, end]);\n start = nextStart;\n end = nextEnd;\n }\n }\n\n result.push([start, end]);\n return result;\n}", "pass": true, "checkError": null }, { "id": "code-money", "title": "金额转换：拒绝非法输入，避免浮点误差", "titleEn": "Money parsing without rounding invalid inputs", "prompt": "写 JavaScript 函数 parseCents(value)。value 必须是字符串：允许两端空白；只接受非负十进制金额，整数部分至少一位，小数最多两位；拒绝指数写法、符号、千分位、Infinity、空串、超过两位小数。返回整数分数，超过 Number.MAX_SAFE_INTEGER 则返回 null。非法类型或格式返回 null。不能把非法值四舍五入成合法值。只输出函数代码，不要 Markdown 或解释。", "checks": "const cases=[['0',0],[' 12.30 ',1230],['0.29',29],['1.2',120],['0001.02',102],['1.234',null],['-1',null],['+1',null],['1e3',null],['',null],['.5',null],['1.',null],['Infinity',null],['1,000',null],[null,null],[1,null],['90071992547409.91',9007199254740991],['90071992547409.92',null]]; for (const [input,want] of cases) if(parseCents(input)!==want) throw Error('Failed '+JSON.stringify(input));", "checkCount": 18, "category": "coding", "version": "code-small-functions-v1", "mode": "max", "status": "done", "text": "function parseCents(value) {\n if (typeof value !== \"string\") return null;\n\n const text = value.trim();\n if (!/^[0-9]+(?:\\.[0-9]{1,2})?$/.test(text)) return null;\n\n const [whole, fraction = \"\"] = text.split(\".\");\n const cents = (whole + (fraction + \"00\").slice(0, 2))\n .replace(/^0+(?=[0-9])/, \"\");\n const max = String(Number.MAX_SAFE_INTEGER);\n\n if (\n cents.length > max.length ||\n (cents.length === max.length && cents > max)\n ) {\n return null;\n }\n\n return Number(cents);\n}", "startedAt": "2026-10-24T01:39:15.536Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "写 JavaScript 函数 parseCents(value)。value 必须是字符串：允许两端空白；只接受非负十进制金额，整数部分至少一位，小数最多两位；拒绝指数写法、符号、千分位、Infinity、空串、超过两位小数。返回整数分数，超过 Number.MAX_SAFE_INTEGER 则返回 null。非法类型或格式返回 null。不能把非法值四舍五入成合法值。只输出函数代码，不要 Markdown 或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": 155853.621208, "firstReasoningMs": 1198.9739999999292, "firstEventMs": 1198.9737499998882, "usage": { "input_tokens": 183, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 9872, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 9706 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:41:52.005Z", "totalMs": 156468.94995799998, "promptTokens": 183, "outputTokens": 9872, "reasoningTokens": 9706, "executable": "function parseCents(value) {\n if (typeof value !== \"string\") return null;\n\n const text = value.trim();\n if (!/^[0-9]+(?:\\.[0-9]{1,2})?$/.test(text)) return null;\n\n const [whole, fraction = \"\"] = text.split(\".\");\n const cents = (whole + (fraction + \"00\").slice(0, 2))\n .replace(/^0+(?=[0-9])/, \"\");\n const max = String(Number.MAX_SAFE_INTEGER);\n\n if (\n cents.length > max.length ||\n (cents.length === max.length && cents > max)\n ) {\n return null;\n }\n\n return Number(cents);\n}", "pass": true, "checkError": null }, { "id": "code-dedupe", "title": "保序去重：安全处理特殊键且不修改输入", "titleEn": "Stable deduplication with special property names", "prompt": "写 JavaScript 函数 uniqueById(items)。items 是对象数组，每个对象有字符串 id 字段。保留每个 id 首次出现的原对象和原顺序，不修改输入或任何对象；空数组返回空数组。id 可为 __proto__、constructor 或空字符串。只输出函数代码，不要 Markdown 或解释。", "checks": "const a={id:'__proto__',value:1},b={id:'constructor'},c={id:''},d={id:'x'};const input=Object.freeze([a,b,{id:'__proto__'},c,{id:''},d,{id:'constructor'}]);const got=uniqueById(input);if(got.length!==4||got[0]!==a||got[1]!==b||got[2]!==c||got[3]!==d)throw Error('Wrong identity or order');if(uniqueById([]).length!==0)throw Error('Empty');if(input.length!==7||a.value!==1)throw Error('Mutation');", "checkCount": 3, "category": "coding", "version": "code-small-functions-v1", "mode": "max", "status": "error", "text": "", "startedAt": "2026-10-24T01:41:52.009Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "写 JavaScript 函数 uniqueById(items)。items 是对象数组，每个对象有字符串 id 字段。保留每个 id 首次出现的原对象和原顺序，不修改输入或任何对象；空数组返回空数组。id 可为 __proto__、constructor 或空字符串。只输出函数代码，不要 Markdown 或解释。" } ], "max_tokens": 12288, "stream": true, "output_config": { "effort": "max" } }, "firstContentMs": null, "firstReasoningMs": null, "firstEventMs": null, "usage": null, "finishReason": null, "error": "HTTP 429: {\"error\":{\"type\":\"rate_limit_error\",\"message\":\"You've reached your 5-hour usage limit. Your quota will reset when the current 5-hour window ends. To continue now, purchase extra usage or upgrade your plan: https://www.kimi.com/membership/subscription?tab=quota\"},\"type\":\"error\"}", "returnedModel": null, "httpStatus": 429, "transport": "node:https", "errorCode": null, "finishedAt": "2026-10-24T01:41:52.161Z", "totalMs": 151.82400000002235, "promptTokens": null, "outputTokens": null, "reasoningTokens": null, "executable": "", "pass": false, "checkError": "Incomplete response" } ], "summary": { "default": { "textPassed": 0, "textAttempted": 0, "textDispatched": 1, "textQuotaFailures": 1, "codingPassed": 0, "codingAttempted": 0, "codingDispatched": 0, "codingQuotaFailures": 0, "medianFirstContentMs": null, "medianTotalMs": null, "textRequestMs": 171.5272920000134, "codingRequestMs": 0, "cumulativeRequestMs": 949432.4684170001, "promptTokens": 978, "outputTokens": 54238, "reasoningTokens": null }, "low": { "textPassed": 15, "textAttempted": 15, "textDispatched": 15, "textQuotaFailures": 0, "codingPassed": 3, "codingAttempted": 3, "codingDispatched": 3, "codingQuotaFailures": 0, "medianFirstContentMs": 2787.851207999978, "medianTotalMs": 2817.3988329999847, "textRequestMs": 42421.89408299996, "codingRequestMs": 28870.71679200005, "cumulativeRequestMs": 488938.491749, "promptTokens": 3834, "outputTokens": 28527, "reasoningTokens": 17984 }, "max": { "textPassed": 15, "textAttempted": 15, "textDispatched": 15, "textQuotaFailures": 0, "codingPassed": 1, "codingAttempted": 1, "codingDispatched": 2, "codingQuotaFailures": 1, "medianFirstContentMs": 3551.582374999998, "medianTotalMs": 3575.3787079999456, "textRequestMs": 54004.99258200009, "codingRequestMs": 156620.773958, "cumulativeRequestMs": 952030.477748, "promptTokens": 3493, "outputTokens": 57240, "reasoningTokens": null } }, "publishedAt": "2026-10-24T01:14:44.983Z", "date": "2026-10-24", "editorial": { "zh-CN": { "summary": "本轮派发 51/69 次首轮请求，30 道文本、4 道代码的完整回答全部通过检查。最终取得 12 张静态图和 2 组动画；3 次首轮因 12,288 token 截断，其中 2 次以 32,768 预算独立重试成功。动画轮踏联动可见，但腿部伸缩、关节机械。5 小时额度耗尽产生 2 次 429，18 项未发，默认动画待补，均不计模型答错。default 文档等同 max；实际强度未独立确认，仅按请求参数分组。小样本不能代表综合排名。", "sections": [] }, "en": { "summary": "The batch dispatched 51/69 initial requests. All 30 complete text and 4 complete code answers passed checks. Final outputs comprise 12 static images and 2 animations. Three initial attempts hit the 12,288-token limit; two independent 32,768-token retries succeeded. Cycling components move, but legs stretch and joints look mechanical. The five-hour quota caused two 429 errors and left 18 tasks unsent; default animation remains pending. These quota interruptions are excluded from accuracy. Default is documented as max; effective effort is unconfirmed, so results are grouped by requested parameters. These small fixed tasks do not establish an overall ranking.", "sections": [] } }, "supportMatrix": { "default": { "supported": true, "tested": true, "effectiveEffort": null, "parameters": {}, "documentedEffort": "max", "semanticsConfirmed": false }, "low": { "supported": true, "tested": true, "effectiveEffort": null, "parameters": { "output_config": { "effort": "low" } }, "documentedEffort": "low", "semanticsConfirmed": false }, "max": { "supported": true, "tested": true, "effectiveEffort": null, "parameters": { "output_config": { "effort": "max" } }, "documentedEffort": "max", "semanticsConfirmed": false }, "high": { "supported": true, "tested": false, "reason": "Documented; outside the prescribed default/low/max batch." }, "off": { "supported": false, "tested": true, "reason": "Official Coding docs require thinking. See native access diagnostics for the observed response and any inconsistency; no off comparison is claimed.", "observedHttpStatus": 400, "request": { "thinking": { "type": "disabled" } }, "observation": "Disabled thinking was rejected." } }, "sourceUrl": "https://www.kimi.com/code/docs/en/kimi-code/models.html", "sources": [ { "url": "https://www.kimi.com/code/docs/en/kimi-code/models.html", "title": "Kimi Code model configuration" }, { "url": "https://platform.kimi.ai/docs/guide/kimi-k3-1-pro-quickstart", "title": "Kimi K3.1 Pro metered API quickstart" }, { "url": "https://platform.kimi.com/docs/api/chat", "title": "Moonshot Chat Completions API" }, { "url": "https://www.kimi.ai/blog/kimi-k3-1-pro", "title": "Kimi K3.1 Pro launch" }, { "url": "https://www.kimi.com/code/docs/en/kimi-code/community-guidelines.html", "title": "Kimi Code Community Guidelines" }, { "url": "https://platform.kimi.com/docs/openapi.json", "title": "Kimi MessagesRequest output_config.effort schema" }, { "url": "https://www.kimi.com/code/docs/en/third-party-tools/claude-code.html", "title": "Kimi native Anthropic protocol configuration" }, { "url": "https://platform.kimi.com/docs/openapi.json", "title": "Kimi MessagesRequest output_config.effort schema" }, { "url": "https://www.kimi.com/code/docs/en/third-party-tools/claude-code.html", "title": "Kimi native Anthropic protocol configuration" }, { "url": "https://platform.kimi.com/docs/openapi.json", "title": "Kimi MessagesRequest output_config.effort schema" }, { "url": "https://www.kimi.com/code/docs/en/third-party-tools/claude-code.html", "title": "Kimi native Anthropic protocol configuration" } ], "estimatedCostUsd": null, "stoppedBatches": [ { "path": "/evaluations/kimi-k3-1-pro-coding-stopped.json", "reasonZh": "旧 OpenAI 兼容批次保留 22 次完成的短文本请求及 1 次中断、上游状态未知。本轮原生 Anthropic Messages 批次独立记录，未混入旧子集。", "reasonEn": "The earlier OpenAI-compatible batch retains 22 completed short text requests and one interruption with unknown upstream status. The native Anthropic Messages batch is recorded independently and does not merge that subset.", "requestCount": 23, "completedCount": 22, "interruptedCount": 1, "source": "https://www.kimi.com/code/docs/en/kimi-code/community-guidelines.html", "sha256": "97d7217fe3f5e2b8f831cdbb2df7a2f35c650b8ad0bbd4db7ba4968da2ab7e97" } ], "probeEvidencePath": "/evaluations/kimi-k3-1-pro-anthropic-access.json", "expectedRequestCount": 69, "plannedFirstRequests": 69, "actualFirstRequests": 51, "notDispatchedCount": 18, "quotaResetAt": "2026-10-24T04:46:39Z", "quotaResetNoteZh": "服务端预计窗口重置时间；同账户其他用量可能影响可用额度，没有安排自动补测。", "quotaResetNoteEn": "Provider-estimated window reset; other account usage may affect availability. No automatic continuation is scheduled.", "coverage": { "text": { "planned": 45, "dispatched": 31, "submitted": 31, "modelResponses": 30, "completed": 30, "quotaFailures": 1, "quota": 1, "truncated": 0, "notDispatched": 14 }, "coding": { "planned": 9, "dispatched": 5, "submitted": 5, "modelResponses": 4, "completed": 4, "quotaFailures": 1, "quota": 1, "truncated": 0, "notDispatched": 4 }, "static": { "planned": 12, "dispatched": 12, "submitted": 12, "modelResponses": 12, "completed": 11, "quotaFailures": 0, "quota": 0, "truncated": 1, "notDispatched": 0 }, "animation": { "planned": 3, "dispatched": 3, "submitted": 3, "modelResponses": 3, "completed": 1, "quotaFailures": 0, "quota": 0, "truncated": 2, "notDispatched": 0 } }, "coverageByMode": { "default": { "planned": 23, "submitted": 6, "completed": 3, "quota": 1, "truncated": 2, "notDispatched": 17, "categories": { "text": { "planned": 15, "submitted": 1, "completed": 0, "quota": 1, "truncated": 0, "notDispatched": 14 }, "coding": { "planned": 3, "submitted": 0, "completed": 0, "quota": 0, "truncated": 0, "notDispatched": 3 }, "static": { "planned": 4, "submitted": 4, "completed": 3, "quota": 0, "truncated": 1, "notDispatched": 0 }, "animation": { "planned": 1, "submitted": 1, "completed": 0, "quota": 0, "truncated": 1, "notDispatched": 0 } } }, "low": { "planned": 23, "submitted": 23, "completed": 23, "quota": 0, "truncated": 0, "notDispatched": 0, "categories": { "text": { "planned": 15, "submitted": 15, "completed": 15, "quota": 0, "truncated": 0, "notDispatched": 0 }, "coding": { "planned": 3, "submitted": 3, "completed": 3, "quota": 0, "truncated": 0, "notDispatched": 0 }, "static": { "planned": 4, "submitted": 4, "completed": 4, "quota": 0, "truncated": 0, "notDispatched": 0 }, "animation": { "planned": 1, "submitted": 1, "completed": 1, "quota": 0, "truncated": 0, "notDispatched": 0 } } }, "max": { "planned": 23, "submitted": 22, "completed": 20, "quota": 1, "truncated": 1, "notDispatched": 1, "categories": { "text": { "planned": 15, "submitted": 15, "completed": 15, "quota": 0, "truncated": 0, "notDispatched": 0 }, "coding": { "planned": 3, "submitted": 2, "completed": 1, "quota": 1, "truncated": 0, "notDispatched": 1 }, "static": { "planned": 4, "submitted": 4, "completed": 4, "quota": 0, "truncated": 0, "notDispatched": 0 }, "animation": { "planned": 1, "submitted": 1, "completed": 0, "quota": 0, "truncated": 1, "notDispatched": 0 } } } }, "protocol": "anthropic-messages", "requestUrl": "https://api.kimi.com/coding/v1/messages", "updatedAt": "2026-10-24T01:48:24.652Z", "billing": { "type": "subscription-quota", "invoiceAvailable": false, "noteZh": "使用 Kimi Coding Plan 订阅额度，本轮没有可对账的按 token 费用。", "noteEn": "Consumes Kimi Coding Plan subscription quota; no reconciled per-token invoice is available." }, "totalRequests": 53, "totalEvaluationOutputTokens": 174023, "totalEvaluationPromptTokens": 8629, "requestCountScope": "Anthropic Messages requests only; excludes read-only model/usage queries and historical batches.", "diagnosticRequestCount": 5, "totalNativeRequestCount": 58, "totalNativeRequestMs": 3003058.8547480004, "initialRequestCount": 51, "additionalRetryCount": 2, "cumulativeRequestMs": 2991492.757331, "wallClockSpanMs": 1130245, "firstEvidencePath": "/evaluations/kimi-k3-1-pro-anthropic-first.json", "parameterDiagnostics": { "diagnosticRequests": [ { "endpoint": "https://api.kimi.com/coding/v1/messages", "request": { "model": "k3.1-pro", "max_tokens": 1024, "messages": [ { "role": "user", "content": "Reply with exactly the ASCII text KIMI_ANTHROPIC_OK and no other visible text." } ] }, "startedAt": "2026-10-24T01:24:25.448Z", "finishedAt": "2026-10-24T01:24:30.016Z", "totalMs": 4566.952832999999, "httpStatus": 200, "returnedModel": "k3.1-pro", "role": "assistant", "text": "KIMI_ANTHROPIC_OK", "contentBlockTypes": [ "thinking", "text" ], "stopReason": "end_turn", "usage": { "input_tokens": 105, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 185, "output_tokens_details": { "thinking_tokens": 162 }, "service_tier": "standard", "inference_geo": "not_available" }, "error": null }, { "id": "effort-access-probe", "prompt": "Reply exactly: NATIVE_EFFORT_OK", "mode": "low", "status": "done", "text": "NATIVE_EFFORT_OK", "startedAt": "2026-10-24T01:25:38.281Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "Reply exactly: NATIVE_EFFORT_OK" } ], "max_tokens": 1024, "stream": true, "output_config": { "effort": "low" } }, "firstContentMs": 2511.4792089999996, "firstReasoningMs": 1783.0141250000001, "firstEventMs": 1783.011375, "usage": { "input_tokens": 95, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 50, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 29 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:25:40.806Z", "totalMs": 2525.2484999999997, "promptTokens": 95, "outputTokens": 50, "reasoningTokens": 29 }, { "id": "effort-access-probe", "prompt": "Reply exactly: NATIVE_EFFORT_OK", "mode": "off", "status": "done", "text": "NATIVE_EFFORT_OK", "startedAt": "2026-10-24T01:25:40.809Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "Reply exactly: NATIVE_EFFORT_OK" } ], "max_tokens": 1024, "stream": true, "output_config": { "effort": "none" } }, "firstContentMs": 1475.4012080000002, "firstReasoningMs": null, "firstEventMs": 1475.3810830000002, "usage": { "input_tokens": 27, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 16, "service_tier": "standard", "inference_geo": "not_available" }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:25:42.302Z", "totalMs": 1493.438458, "promptTokens": 27, "outputTokens": 16, "reasoningTokens": null }, { "id": "thinking-disabled-probe", "prompt": "Reply exactly: NATIVE_OFF_PROBE", "mode": "off", "status": "error", "text": "", "startedAt": "2026-10-24T01:34:25.711Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "Reply exactly: NATIVE_OFF_PROBE" } ], "max_tokens": 1024, "stream": true, "thinking": { "type": "disabled" } }, "firstContentMs": null, "firstReasoningMs": null, "firstEventMs": null, "usage": null, "finishReason": null, "error": "HTTP 400: {\"error\":{\"type\":\"invalid_request_error\",\"message\":\"K3.1 Pro does not support disabled thinking mode. Please enable thinking and try again, or choose another model.\"},\"type\":\"error\"}", "returnedModel": null, "httpStatus": 400, "transport": "node:https", "errorCode": null, "finishedAt": "2026-10-24T01:34:26.309Z", "totalMs": 598.542542, "promptTokens": null, "outputTokens": null, "reasoningTokens": null }, { "id": "invalid-effort-probe", "prompt": "Reply exactly: NATIVE_INVALID_EFFORT_PROBE", "mode": "invalid", "status": "done", "text": "NATIVE_INVALID_EFFORT_PROBE", "startedAt": "2026-10-24T01:34:26.452Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "Reply exactly: NATIVE_INVALID_EFFORT_PROBE" } ], "max_tokens": 1024, "stream": true, "output_config": { "effort": "invalid-evaluation-probe" } }, "firstContentMs": 2369.947584, "firstReasoningMs": 1698.294459, "firstEventMs": 1698.291334, "usage": { "input_tokens": 95, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 48, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 26 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:34:28.834Z", "totalMs": 2381.915084, "promptTokens": 95, "outputTokens": 48, "reasoningTokens": 26 } ], "effortFieldValidated": false, "disabledProbe": { "id": "thinking-disabled-probe", "prompt": "Reply exactly: NATIVE_OFF_PROBE", "mode": "off", "status": "error", "text": "", "startedAt": "2026-10-24T01:34:25.711Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "Reply exactly: NATIVE_OFF_PROBE" } ], "max_tokens": 1024, "stream": true, "thinking": { "type": "disabled" } }, "firstContentMs": null, "firstReasoningMs": null, "firstEventMs": null, "usage": null, "finishReason": null, "error": "HTTP 400: {\"error\":{\"type\":\"invalid_request_error\",\"message\":\"K3.1 Pro does not support disabled thinking mode. Please enable thinking and try again, or choose another model.\"},\"type\":\"error\"}", "returnedModel": null, "httpStatus": 400, "transport": "node:https", "errorCode": null, "finishedAt": "2026-10-24T01:34:26.309Z", "totalMs": 598.542542, "promptTokens": null, "outputTokens": null, "reasoningTokens": null }, "invalidEffortProbe": { "id": "invalid-effort-probe", "prompt": "Reply exactly: NATIVE_INVALID_EFFORT_PROBE", "mode": "invalid", "status": "done", "text": "NATIVE_INVALID_EFFORT_PROBE", "startedAt": "2026-10-24T01:34:26.452Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "Reply exactly: NATIVE_INVALID_EFFORT_PROBE" } ], "max_tokens": 1024, "stream": true, "output_config": { "effort": "invalid-evaluation-probe" } }, "firstContentMs": 2369.947584, "firstReasoningMs": 1698.294459, "firstEventMs": 1698.291334, "usage": { "input_tokens": 95, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 48, "service_tier": "standard", "inference_geo": "not_available", "output_tokens_details": { "thinking_tokens": 26 } }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:34:28.834Z", "totalMs": 2381.915084, "promptTokens": 95, "outputTokens": 48, "reasoningTokens": 26 }, "noneProbe": { "id": "effort-access-probe", "prompt": "Reply exactly: NATIVE_EFFORT_OK", "mode": "off", "status": "done", "text": "NATIVE_EFFORT_OK", "startedAt": "2026-10-24T01:25:40.809Z", "request": { "model": "k3.1-pro", "messages": [ { "role": "user", "content": "Reply exactly: NATIVE_EFFORT_OK" } ], "max_tokens": 1024, "stream": true, "output_config": { "effort": "none" } }, "firstContentMs": 1475.4012080000002, "firstReasoningMs": null, "firstEventMs": 1475.3810830000002, "usage": { "input_tokens": 27, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0, "output_tokens": 16, "service_tier": "standard", "inference_geo": "not_available" }, "finishReason": "end_turn", "error": null, "returnedModel": "k3.1-pro", "httpStatus": 200, "transport": "node:https", "finishedAt": "2026-10-24T01:25:42.302Z", "totalMs": 1493.438458, "promptTokens": 27, "outputTokens": 16, "reasoningTokens": null } }, "notes": { "zh": "本轮通过 Kimi Coding Plan 原生 Anthropic Messages 协议调用 k3.1-pro，地址 https://api.kimi.com/coding/v1/messages。每组计划 23 题，default / low / max 三组请求参数最多并发 3 个请求；每组内逐题执行。5 小时订阅额度耗尽后停止新请求，未派发任务不伪造记录，额度错误不计为模型答题失败。默认 effort 的文档值为 max；这两组保留独立请求，不当作两个不同能力档位。low / max 使用原生 output_config.effort；不把 thinking 预算当成 effort。输入 token 合计为原生 input_tokens、cache_read_input_tokens 与 cache_creation_input_tokens 之和，原 usage 字段完整保留。初轮 max_tokens=12,288，包含思考和正文；超时 600 秒，temperature / top_p 省略，没有独立设置 thinking.budget_tokens。按订阅额度消耗，不能按官方按量标价换算成实际账单。此前停止的 Chat Completions 子集单独保留。静态与动图源自模型原始 SVG，未修复源码；点评是 AI 助手的定性视觉检查。单次耗时受服务端排队、三个请求的并发和输出长度影响，不能据此建立稳定速度排名。逐次保留请求与返回模型 ID；可变 API 路由不构成内部固定 checkpoint 的独立证明。服务端接受了非法 effort 负向探针，因此无法独立确认 low/max 实际生效。本页仅按实际请求参数分组，不称为已确认的有效档位比较。", "en": "This batch calls k3.1-pro through Kimi Coding Plan’s native Anthropic Messages endpoint https://api.kimi.com/coding/v1/messages. Each requested default/low/max configuration plans 23 tasks; at most three requests run concurrently, sequentially within each configuration. New dispatches stopped when the five-hour subscription quota was exhausted. Unsent tasks have no fabricated attempt, and quota failures are not scored as model-answer failures. Default is documented as max; omitted-default and explicit-max requests are independent records and are not treated as distinct capability levels. Low/max use native output_config.effort, not a thinking budget. Prompt-token totals sum native input_tokens, cache_read_input_tokens and cache_creation_input_tokens; raw usage is retained. Initial max_tokens=12,288 covers thinking plus final output; timeout 600 seconds. Temperature/top_p omitted; no thinking.budget_tokens configured. Requests consume subscription quota; metered list prices are not the actual invoice. The stopped Chat Completions subset stays separate. Images and animation directly render the model’s unchanged SVG. Assessments are qualitative AI-assistant visual inspection. Single-request timings include queueing, concurrency and output-length effects; they do not establish a stable speed ranking. Requested and returned IDs are preserved; a mutable API route is not independent proof of a fixed internal checkpoint. The server accepted the invalid-effort negative control, so the effective low/max semantics are not independently confirmed. Results are grouped by requested parameters, not claimed as a verified effort-level comparison.", "visualQaZh": "12 张最终静态成图均已逐张核验：三组钟表角度、柱形图零基线与 2:4:3:5 比例、海报六段中文各一次都符合题目，鹈鹕与车把、踏板的连接也可辨。首轮有三次因 12,288 输出 token 上限截断；默认鹈鹕和 Max 请求组动画分别提高到 32,768 后独立重试成功，两次累计耗时各约 509.41 秒和 534.14 秒。两组已完成动画的轮辐、曲柄和双腿实际运动，4 秒循环无可辨跳变，但腿长有伸缩、膝部机械感明显。默认请求组动画首轮截断后遇订阅额度限制，尚无可发布结果；本轮仍是部分完成，不能声称三组动画齐全，也不能把请求组视作已验证思考强度。", "visualQaEn": "All 12 final static images were individually checked: the three clocks use the requested angles, bar charts have zero baselines and the 2:4:3:5 height ratio, each poster contains the six required Chinese strings once, and the pelicans connect visibly to handlebars and pedals. Three first attempts hit the 12,288-token limit. Independent 32,768-token retries recovered the default pelican and requested-max animation, with combined times of about 509.41 and 534.14 seconds respectively. Both completed animations visibly move their spokes, crank and legs and show no perceptible four-second loop jump, but legs stretch and knees look mechanical. The default animation remains incomplete after truncation and subscription-quota exhaustion. This remains a partial evaluation, and request groups are not verified reasoning strengths." } }