deepseek-v4-flash vs qwen3.8-27b-heretic-ara-16gb-vram-xs-mtp speed comparison

Based on 108 anonymous user runs.

Verdict: deepseek-v4-flash has faster output (median 132 vs 67 tok/s); deepseek-v4-flash has faster TTFT (0.97s vs 7.68s).
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[![deepseek-v4-flash is faster than qwen3.8-27b-heretic-ara-16gb-vram-xs-mtp: 132 tok/s on TOKRACE](https://www.tokrace.com/api/badge/compare/deepseek-v4-flash-vs-qwen3-8-27b-heretic-ara-16gb-vram-xs-mtp?locale=en)](https://www.tokrace.com/en/compare/deepseek-v4-flash-vs-qwen3-8-27b-heretic-ara-16gb-vram-xs-mtp)
Median output tok/s13267
Average output tok/s12967
TTFT0.97s7.68s
Peak tok/s638121
Samples1062

· Data comes from voluntary anonymous sharing; medians reduce jitter · Updates every 5 minutes

· Speed is affected by network, time of day and provider load · Methodology

How to use this comparison

Writing/long output: Prioritize median output tok/s and peak speed.

Chat/agents: TTFT usually has a bigger UX impact.

Model selection: Rerun your real Prompt and inspect output quality too.

Run with current dataView full leaderboard

FAQ

Which model outputs faster, deepseek-v4-flash or qwen3.8-27b-heretic-ara-16gb-vram-xs-mtp?

deepseek-v4-flash has faster output (median 132 vs 67 tok/s); deepseek-v4-flash has faster TTFT (0.97s vs 7.68s).

Why can output speed and TTFT have different winners?

Output tok/s measures sustained generation speed, while TTFT measures the wait until the first token. A model can generate long text faster while still taking longer to start.

How should I rerun this comparison?

Use the arena with the same Prompt, temperature and network conditions, then repeat a few times and combine the speed data with output quality.

Can I embed this comparison in GitHub or an article?

Yes. This page provides Markdown and HTML badges. The badge image URL is https://www.tokrace.com/api/badge/compare/deepseek-v4-flash-vs-qwen3-8-27b-heretic-ara-16gb-vram-xs-mtp?locale=en.