Model comparison

Mistral Medium 3.1 vs Qwen3.8 27B

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.9 on the Noometry Index.

Last verified . 2 shared benchmarks.

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Qwen3.8 27B Alibaba (Qwen)

46.0

Rank #68 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Mistral Medium 3.1 scores higher in 0 categories and Qwen3.8 27B in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.8 27B leads 41.0 to 10.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 6.5% for Mistral Medium 3.1 and 54.5% for Qwen3.8 27B.
  • Qwen3.8 27B is cheaper at $0.04 / $2.30 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
  • Qwen3.8 27B accepts more context: 262K tokens versus 131K.
  • Qwen3.8 27B has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.1 and Qwen3.8 27B specifications
Mistral Medium 3.1Qwen3.8 27B
ProviderMistral AIAlibaba (Qwen)
Noometry Index31.946.0
Released—2026-08-14
WeightsProprietaryOpen
Context window131K262K
Max output105K33K
Input $ / M tokens$0.40$0.04
Output $ / M tokens$2$2.30
Results tracked331

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Category by category

Coding Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 50.5 (#44)

Coding benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
LMArena WebDev—1593
SciCode—46.6%
LMArena Coding—1482

Agentic & Tool Use Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 32.9 (#57)

Agentic & Tool Use benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
APEX-Agents—47.5%

Reasoning Qwen3.8 27B leads

Mistral Medium 3.1: 10.6 (#341), Qwen3.8 27B: 41.0 (#54)

Reasoning benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
NYT Connections (extended)6.5%54.5%
ARC-AGI-2—42.4%
ARC-AGI-1—87.5%
CritPt—5.4%
Thematic Generalization20.3%—
LMArena Hard Prompts—1460
DTBench—88%
LMCA—41.4%
Surface Evolver Bench—45%
Epoch Capabilities Index—149.38

Math Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 37.1 (#161)

Math benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
ProofBench—16%
LMArena Math—1456

Knowledge Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 41.6 (#109)

Knowledge benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
LMArena Expert—1482

Multimodal Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 41.3 (#37)

Multimodal benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
LMArena Vision—1271

Multilingual Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 53.7 (#60)

Multilingual benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
LMArena Non-English—1430
LMArena Chinese—1504
LMArena French—1465
LMArena German—1438
LMArena Japanese—1384
LMArena Korean—1393
LMArena Russian—1415
LMArena Spanish—1448

Instruction Following Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 75.8 (#53)

Instruction Following benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
LMArena Instruction Following—1439

Long Context Not comparable

Mistral Medium 3.1: —, Qwen3.8 27B: 44.3 (#70)

Long Context benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
LMArena Longer Query—1450

Writing & Preference Qwen3.8 27B leads

Mistral Medium 3.1: 55.5 (#145), Qwen3.8 27B: 65.8 (#43)

Writing & Preference benchmarks
BenchmarkMistral Medium 3.1Qwen3.8 27B
EQ-Bench Creative Writing14761671
LMArena Text—1441
LMArena Creative Writing—1384
LMArena Multi-Turn—1441

Frequently asked questions

Is Mistral Medium 3.1 better than Qwen3.8 27B?

Qwen3.8 27B is the stronger model overall, scoring 46.0 to 31.9 on the Noometry Index.

Which is cheaper, Mistral Medium 3.1 or Qwen3.8 27B?

Qwen3.8 27B is cheaper. It lists at $0.04 per million input tokens and $2.30 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

Qwen3.8 27B does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.1 and Qwen3.8 27B share?

2 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Qwen3.8 27B has 31.

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