Free model trials · Open-source benchmarks · Shareable evidence

A real-time model speed benchfor developers and AI reviewers

Run one prompt across multiple LLMs and compare TTFT · output TPS · peak speed · stability. Start with free model trials, then switch to your real task and model setup.

PREVIEWDeepSeek V4.1 Flash limited preview · API status and speed test
Write a 5,000-word essay on why speed itself is a capability● LIVE
Model A 🥇312 tok/s
Model B 🥈187 tok/s
Model C 🥉96 tok/s
0.68s
TTFT
102
Thinking TPS
312
Output TPS
387
Peak tok/s

↑ Demo animation · real data comes from your arena runs

01
Run a free sample
Try a free model evaluation with preset models, no registration or keys required.
02
Use your prompt
Test your real task, long-form input, code task or visual prompt against configured models.
03
Share evidence
Generate snapshots, voting pages and long images so readers can inspect the result.

Why test speed with TOKRACE

🏁
Concurrent tests with the same prompt
Send the same prompt to multiple models at the same time to reduce ordering, network and time-of-day bias.
Real-time TTFT / TPS comparison
Track TTFT, thinking TPS, output TPS, peak speed and token counts side by side.
📈
Zoomable speed curves
Inspect 2-second sliding-window tok/s curves, zoom into peak moments and export PNG evidence.
🔌
Free trials + bring your own key
New users can try preset models and run free evaluation samples without keys; advanced users can connect OpenAI-compatible or native Anthropic endpoints.
🔐
Keys saved locally by default
API keys are saved in your browser and forwarded when you make requests. Optional cloud backups are encrypted in your browser before upload.
📷
Built for publishing
Edit titles and notes, use screenshot mode, customize watermarks and copy metrics as Markdown.
🧪
Validate as you connect
Fetch provider model lists, test connectivity and configure private parameters per model.
🖼
Automatic SVG rendering
SVG code in model output is rendered as an image in a sandbox with scripts disabled.
NEW PROVIDER

Now supports OrcaRouter

Connect with PKCE or paste an sk-orca key to test the OrcaRouter Auto route and namespaced fixed models.

Integration guide

Your keys stay yours

API keys are saved by default in your browser localStorage. Requests pass through a proxy to your selected provider. The proxy does not intentionally persist keys or request bodies. Publishing a share saves a public snapshot; optional cloud sync saves a browser-encrypted backup. Prefer no hosted proxy at all? The project is open source:git clone && npm run dev.