Qwen 3.7 Max
$1.65 input, $4.95 output per million tokens1M contextproprietaryAlso written as qwen3.7-max, alibaba/qwen3.7-maxCompare with other models
- Clinical Benchmarks Index
- 52.9rank 59 of 148; 64.8 × 0.816 = 52.9, from 2 of 10 boards
- Boards
- 2 of 13
- Results
- 2
- Latest measurement
- Sep 2026
Results
Each line is placed on its own board. Dark tick: the board leader.
Documentation and coding
- MedScribe (Vals AI)model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=3000079.40Rank 59 of 105Leader Claude Opus 5.5 91.43
- MedCode (Vals AI)model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=3000038.75Rank 66 of 103Leader Claude Opus 5 63.57
Sources
Open a line for the quote and page.
59MedScribe (Vals AI) model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000 79.40
Printed as 79.40%Official leaderboard, measured Sep 2026Configuration: model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 59 of 105 (Qwen 3.7 Max), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["alibaba/qwen3.7-max"].59 | Qwen 3.7 Max | 79.40%±1.91 | $2.5/$7.5 | 108.05s
Every result from this document66MedCode (Vals AI) model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000 38.75
Printed as 38.75%Official leaderboard, measured Sep 2026Configuration: model ID alibaba/qwen3.7-max; temperature=1; max_output_tokens=30000Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 66 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["alibaba/qwen3.7-max"].66 | Qwen 3.7 Max | 38.75%±2.20 | $2.5/$7.5 | 28.75s
Every result from this document
Other Alibaba models: Lingshu-32B, Lingshu-7B, Qwen3-14B, Qwen3-235B-A22B-Instruct-2507, Qwen3-32B, Qwen3-4B, Qwen 3.5, Qwen3.5-27B, Qwen3.5-35B-A3B, Qwen3.5 397B A17B, Qwen3.5-9B, Qwen 3.5 Flash, Qwen3.5-Plus, Qwen3.6-Max, Qwen3.6 Plus, Qwen3.7 Plus, Qwen 3.8 27B, Qwen3.8 Max, Qwen 3 Max Thinking, Qwen3-VL-235B-A22B, Qwen 3 VL Plus