Model comparison

Mistral Medium 3.1 vs Qwen3.5 27B

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 31.9 on the Noometry Index.

Last verified . 2 shared benchmarks.

Mistral Medium 3.1 Mistral AI

31.9

Rank #266 Reported

Qwen3.5 27B Alibaba (Qwen)

41.9

Rank #127 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Mistral Medium 3.1 scores higher in 0 categories and Qwen3.5 27B in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5 27B leads 27.5 to 10.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 6.5% for Mistral Medium 3.1 and 47.9% for Qwen3.5 27B.
  • Both cost about the same: $0.40 input and $2 output per million tokens.
  • Qwen3.5 27B accepts more context: 262K tokens versus 131K.
  • Qwen3.5 27B has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.1 and Qwen3.5 27B specifications
Mistral Medium 3.1Qwen3.5 27B
ProviderMistral AIAlibaba (Qwen)
Noometry Index31.941.9
Released—2026-02-23
WeightsProprietaryOpen
Context window131K262K
Max output105K66K
Input $ / M tokens$0.40$0.30
Output $ / M tokens$2$2.40
Results tracked328

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Category by category

Coding Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: 38.9 (#168)

Coding benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
LMArena WebDev—1358
WeirdML—39.5%
LMArena Coding—1427
ALE-Bench—349.45

Agentic & Tool Use Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: —

Agentic & Tool Use benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
Vending-Bench 2—201.98

Reasoning Qwen3.5 27B leads

Mistral Medium 3.1: 10.6 (#341), Qwen3.5 27B: 27.5 (#117)

Reasoning benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
NYT Connections (extended)6.5%47.9%
Thematic Generalization20.3%45.5%
LMArena Hard Prompts—1414
DTBench—82.4%
LMCA—34%

Math Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: 38.8 (#127)

Math benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
MathArena Final-Answer Competitions—56.7%
LMArena Math—1429

Knowledge Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: 38.0 (#150)

Knowledge benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
Vectara Hallucination Rate—12.1%
LMArena Expert—1428

Multimodal Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: 39.4 (#59)

Multimodal benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
LMArena Vision—1241

Multilingual Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: 50.8 (#115)

Multilingual benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
LMArena Non-English—1390
LMArena Chinese—1478
LMArena French—1410
LMArena German—1393
LMArena Japanese—1345
LMArena Korean—1358
LMArena Russian—1390
LMArena Spanish—1407

Instruction Following Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: 73.5 (#119)

Instruction Following benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
LMArena Instruction Following—1393

Long Context Not comparable

Mistral Medium 3.1: —, Qwen3.5 27B: 43.1 (#106)

Long Context benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
LMArena Longer Query—1413

Writing & Preference Qwen3.5 27B leads

Mistral Medium 3.1: 55.5 (#145), Qwen3.5 27B: 59.3 (#111)

Writing & Preference benchmarks
BenchmarkMistral Medium 3.1Qwen3.5 27B
LMArena Text—1409
LMArena Creative Writing—1362
EQ-Bench Creative Writing1476—
LMArena Multi-Turn—1410

Frequently asked questions

Is Mistral Medium 3.1 better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 31.9 on the Noometry Index.

Which is cheaper, Mistral Medium 3.1 or Qwen3.5 27B?

Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Qwen3.5 27B lists at $0.30 and $2.40.

Which has the bigger context window?

Qwen3.5 27B does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.1 and Qwen3.5 27B share?

2 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Qwen3.5 27B has 28.

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