Qwen3-4B-Thinking-2507
Qwen
Cheapest input price among endpoints with a first token within 300 ms and at least 80 tokens per second: $0.010 per 1M (Nscale, 2026-10-26).
Sources: huggingface.co 2026-10-26
Up to date
Use cases › Speed
Voice agents, autocomplete and live UI, where the first token has to arrive in a few hundred milliseconds.
Showing models for: first token within 300 ms.
Fastest live endpoint per model, time to first token. Teal rows are this page's picks.
median TTFT 11,694 ms · 93.3 tok/s
One pick per constraint group, each the leader on its group's rule: the cheapest endpoint that is fast enough, the fastest small-active MoE, the fastest dense model of 32B or fewer. The numbers and dates are the claim; the order is not a verdict.
Qwen
Cheapest input price among endpoints with a first token within 300 ms and at least 80 tokens per second: $0.010 per 1M (Nscale, 2026-10-26).
Sources: huggingface.co 2026-10-26
Qwen
Fastest first token among mixture-of-experts chat models with 5B or fewer active parameters: 166 ms (DeepInfra, 2026-10-26).
Sources: huggingface.co 2026-10-26 · huggingface.co 2026-10-26
Qwen
Fastest first token among dense chat models of 32B parameters or fewer: 161 ms (Cerebras, 2026-10-26).
Sources: huggingface.co 2026-10-26 · huggingface.co 2026-10-26 · openrouter.ai 2026-10-26
How people wire a model into this job. Notes are written by hand from the cited cards and docs; the model links go to the facts.
The first ten chat models with a measured first token, in the scoreboard's order for this job. The full list, sortable, lives in the scoreboard with these constraints.
| # | Evidence | ||||||
|---|---|---|---|---|---|---|---|
| 1 | DeepSeek-V4.1-Flashdeepseek-ai | 114 ms | 283 | $0.020 | 34 | MIT | |
| 2 | Qwen3.8-27BQwen | 161 ms | 887 | $0.020 | 23 | Apache 2.0 | |
| 3 | Qwen3-30B-A3BQwen | 166 ms | 113 | $0.12 | 1 | Apache 2.0 | |
| 4 | Qwen3-14BQwen | 184 ms | 91 | $0.070 | 4 | Apache 2.0 | |
| 5 | c4ai-command-r7b-12-2024CohereLabs | 201 ms | 106 | — | 1 | CC BY-NC 4.0 | |
| 6 | Qwen3.5-397B-A17BQwen | 204 ms | 90 | $0.39 | 13 | Apache 2.0 | |
| 7 | GLM-5.2zai-org | 205 ms | 210 | $0.032 | 27 | MIT | |
| 8 | Qwen3.5-27BQwen | 207 ms | 85 | $0.20 | 7 | Apache 2.0 | |
| 9 | Muse-Glimmer-30Bmeta-models | 207 ms | 99 | $0.30 | 3 | Apache 2.0 | |
| 10 | gpt-oss-120bopenai | 218 ms | 1095 | $0.030 | 27 | Apache 2.0 |
None of these measure time to first audio for a voice agent. The first-token times here are text endpoints from OpenRouter's endpoint stats, one snapshot from one client location; a voice loop adds speech recognition and synthesis on top.
Nearest scoreboard view: Low latency.