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Qwen 3.8 27B

256K context27BopenAlso written as alibaba/qwen3.8-27b, qwen3.8-27b

2 results on 2 of 13 boards, latest measured Sep 2026. Compare with other models

Clinical Benchmarks Index23.4Rank 95 of 1492 of 10 boardsAverage × multiplier 40.6 × 0.577 = 23.4This site’s own calculation. Working How it is computed

Results

Each line sits on its own board's scale. Tall tick: the board leader.

Documentation and coding

  1. MedScribe (Vals AI)
    model ID alibaba/qwen3.8-27b; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=xhigh
    83.85
    Rank 38 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID alibaba/qwen3.8-27b; reasoning_effort=xhigh; temperature=1; top_p=0.95; max_output_tokens=30000
    28.70
    Rank 95 of 103Leader Claude Opus 5 63.57
    Official leaderboard
    Measured Sep 2026

Index working

The Clinical Benchmarks Index is this site's own calculation: a weighted average of the board scores times a multiplier for the boards behind it. How it is computed

  • MedScribe (Vals AI)83.8583.9×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID alibaba/qwen3.8-27b; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=xhigh
  • MedCode (Vals AI)28.7028.7×0.911model ID alibaba/qwen3.8-27b; reasoning_effort=xhigh; temperature=1; top_p=0.95; max_output_tokens=30000
Weighted average of 2 boards
40.6
Multiplier for 2 of 10 boards
× 0.577
Index
40.6 × 0.577 = 23.4

Score: the result on the board’s own 0 to 100 scale. Dot: this model; tick: the board’s leader. Weight: how much the board counts in the weighted average; bold where the board is near its ceiling and counts for less. Each result links to its quote and page; the line under it is the setting it was measured with.

Sources

The quote, page and document for each of the 2 results
  1. 38MedScribe (Vals AI) qwen3.8-27b 83.85
    Printed as 83.85%Official leaderboard, measured Sep 2026Configuration: model ID alibaba/qwen3.8-27b; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=xhigh
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 38 of 105 (Qwen 3.8 27B), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["alibaba/qwen3.8-27b"].
    38 | Qwen 3.8 27B | 83.85%±1.98 | $0.5/$3 | 89.70s
    Every result from this document
  2. 95MedCode (Vals AI) qwen3.8-27b 28.70
    Printed as 28.70%Official leaderboard, measured Sep 2026Configuration: model ID alibaba/qwen3.8-27b; reasoning_effort=xhigh; temperature=1; top_p=0.95; max_output_tokens=30000
    Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 95 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["alibaba/qwen3.8-27b"].
    95 | Qwen 3.8 27B | 28.70%±1.97 | $0.5/$3 | 89.38s
    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, Qwen 3.7 Max, Qwen3.7 Plus, Qwen3.8 Max, Qwen 3 Max Thinking, Qwen3-VL-235B-A22B, Qwen 3 VL Plus