The small, fast Qwen model is Qwen3 32B — the efficient tier at 328 tokens/sec and $0.080 per million input tokens. It trades a few points of raw intelligence for speed and cost, the right call for high-volume, latency-sensitive work. Qwen3 Next 80B A3B Thinking (172 t/s) and Qwen3.6 35B A3B (172 t/s) round out the top three.
Compact, efficient models — the small/mini/flash/haiku tier — ranked by output speed. These trade a little raw intelligence for low cost and high throughput, which is the right tradeoff for chat, classification, extraction and other high-volume work.
The small, fast Qwen model is Qwen3 32B — the efficient tier at 328 tokens/sec and $0.080 per million input tokens. It trades a few points of raw intelligence for speed and cost, the right call for high-volume, latency-sensitive work. Qwen3 Next 80B A3B Thinking (172 t/s) and Qwen3.6 35B A3B (172 t/s) round out the top three.
Qwen3 Next 80B A3B Thinking (172 t/s) is the closest alternative on this metric, followed by Qwen3.6 35B A3B (172 t/s). See the full ranking above for the tradeoffs.
modelgrep tracks 49 Qwen models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Qwen3.7 Max. 24 of them qualify for this ranking.