Model comparison

Devstral 2 vs Qwen3.7 Max

Qwen3.7 Max has enough public results to be ranked (#42); Devstral 2 does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

Devstral 2 Mistral AI

36.1

Unranked Sparse

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 1 benchmark with published results for both. Devstral 2 scores higher in 0 categories and Qwen3.7 Max in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Qwen3.7 Max leads 50.4 to 33.2.
  • Devstral 2 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 2 has downloadable open weights; the other is API-only.

Side by side

Devstral 2 and Qwen3.7 Max specifications
Devstral 2Qwen3.7 Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index36.151.5
Released2025-12-092026-05-19
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 2: 33.2 (#261), Qwen3.7 Max: 50.4 (#45)

Coding benchmarks
BenchmarkDevstral 2Qwen3.7 Max
LMArena WebDev11971515
SWE-bench Verified—77.3%
SWE-bench Verified (bash only)53.8%—
SciCode—48.8%
LMArena Coding—1498
ALE-Bench—1,189

Agentic & Tool Use Not comparable

Devstral 2: —, Qwen3.7 Max: 22.1 (#135)

Agentic & Tool Use benchmarks
BenchmarkDevstral 2Qwen3.7 Max
GBAEval—0.4%

Reasoning Not comparable

Devstral 2: —, Qwen3.7 Max: 49.2 (#38)

Reasoning benchmarks
BenchmarkDevstral 2Qwen3.7 Max
SimpleBench—70.4%
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—153.68

Math Not comparable

Devstral 2: —, Qwen3.7 Max: 62.4 (#32)

Math benchmarks
BenchmarkDevstral 2Qwen3.7 Max
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%
LMArena Math—1490

Knowledge Not comparable

Devstral 2: —, Qwen3.7 Max: 61.6 (#28)

Knowledge benchmarks
BenchmarkDevstral 2Qwen3.7 Max
GPQA Diamond—90.9%
SimpleQA Verified—55.8%
LMArena Expert—1488

Multilingual Not comparable

Devstral 2: —, Qwen3.7 Max: 56.9 (#15)

Multilingual benchmarks
BenchmarkDevstral 2Qwen3.7 Max
LMArena Non-English—1474
LMArena Chinese—1530
LMArena Russian—1484

Instruction Following Not comparable

Devstral 2: —, Qwen3.7 Max: 76.7 (#38)

Instruction Following benchmarks
BenchmarkDevstral 2Qwen3.7 Max
LMArena Instruction Following—1460

Long Context Not comparable

Devstral 2: —, Qwen3.7 Max: 45.4 (#40)

Long Context benchmarks
BenchmarkDevstral 2Qwen3.7 Max
LMArena Longer Query—1482

Writing & Preference Not comparable

Devstral 2: —, Qwen3.7 Max: 65.0 (#54)

Writing & Preference benchmarks
BenchmarkDevstral 2Qwen3.7 Max
LMArena Text—1476
LMArena Creative Writing—1449
EQ-Bench 4—1110
LMArena Multi-Turn—1481

Frequently asked questions

Is Devstral 2 better than Qwen3.7 Max?

Qwen3.7 Max has enough public results to be ranked (#42); Devstral 2 does not yet, so treat this comparison as directional.

Which is cheaper, Devstral 2 or Qwen3.7 Max?

Devstral 2 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 2 or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 33.2 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 2 and Qwen3.7 Max share?

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

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