Model comparison

Devstral Medium vs Qwen3.7 Max

Qwen3.7 Max has enough public results to be ranked (#35); Devstral Medium does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

Devstral Medium Mistral AI

29.6

Unranked Sparse

Qwen3.7 Max Alibaba (Qwen)

51.4

Rank #35 Confirmed

Summary

  • They share 1 benchmark with published results for both. Devstral Medium scores higher in 0 categories and Qwen3.7 Max in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.7 Max leads 48.4 to 20.4.
  • Devstral Medium is cheaper at $0.40 / $2 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
  • Qwen3.7 Max accepts more context: 1M tokens versus 262K.
  • Devstral Medium has downloadable open weights; the other is API-only.

Side by side

Devstral Medium and Qwen3.7 Max specifications
Devstral MediumQwen3.7 Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index29.651.4
Released2025-07-102026-05-19
WeightsOpenProprietary
Context window262K1M
Max output262K131K
Input $ / M tokens$0.40$2.50
Output $ / M tokens$2$7.50
Results tracked233

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Category by category

Coding Qwen3.7 Max leads

Devstral Medium: 24.1, Qwen3.7 Max: 50.2 (#43)

Coding benchmarks
BenchmarkDevstral MediumQwen3.7 Max
LMArena WebDev10761515
SWE-bench Verified—77.3%
SciCode—48.8%
LMArena Coding—1498
ALE-Bench—1,189

Agentic & Tool Use Not comparable

Devstral Medium: —, Qwen3.7 Max: 21.8 (#129)

Agentic & Tool Use benchmarks
BenchmarkDevstral MediumQwen3.7 Max
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

Devstral Medium: 20.4, Qwen3.7 Max: 48.4 (#36)

Reasoning benchmarks
BenchmarkDevstral MediumQwen3.7 Max
SimpleBench—70.4%
Kagi LLM Benchmark37.7%—
NYT Connections (extended)—85.1%
CritPt—13.4%
Chess Puzzles—19%
EBR-Bench—9.5%
LMArena Hard Prompts—1483
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%
Epoch Capabilities Index—153.74

Math Not comparable

Devstral Medium: —, Qwen3.7 Max: 62.3 (#26)

Math benchmarks
BenchmarkDevstral MediumQwen3.7 Max
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%
LMArena Math—1488

Knowledge Not comparable

Devstral Medium: —, Qwen3.7 Max: 61.7 (#24)

Knowledge benchmarks
BenchmarkDevstral MediumQwen3.7 Max
GPQA Diamond—90.9%
SimpleQA Verified—55.8%
LMArena Expert—1488

Multilingual Not comparable

Devstral Medium: —, Qwen3.7 Max: 57.1 (#13)

Multilingual benchmarks
BenchmarkDevstral MediumQwen3.7 Max
LMArena Non-English—1475
LMArena Chinese—1533
LMArena Russian—1482

Instruction Following Not comparable

Devstral Medium: —, Qwen3.7 Max: 76.9 (#34)

Instruction Following benchmarks
BenchmarkDevstral MediumQwen3.7 Max
LMArena Instruction Following—1460

Long Context Not comparable

Devstral Medium: —, Qwen3.7 Max: 45.4 (#34)

Long Context benchmarks
BenchmarkDevstral MediumQwen3.7 Max
LMArena Longer Query—1484

Writing & Preference Not comparable

Devstral Medium: —, Qwen3.7 Max: 65.2 (#52)

Writing & Preference benchmarks
BenchmarkDevstral MediumQwen3.7 Max
LMArena Text—1476
LMArena Creative Writing—1450
EQ-Bench 4—1110
LMArena Multi-Turn—1482

Frequently asked questions

Is Devstral Medium better than Qwen3.7 Max?

Qwen3.7 Max has enough public results to be ranked (#35); Devstral Medium does not yet, so treat this comparison as directional.

Which is cheaper, Devstral Medium or Qwen3.7 Max?

Devstral Medium is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.

Is Devstral Medium or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.2 versus 24.1 in the Noometry coding category.

Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 262K.

How many benchmarks do Devstral Medium and Qwen3.7 Max share?

1 benchmark has published results for both models. Devstral Medium has 2 scored results on Noometry and Qwen3.7 Max has 33.

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