Noometry

Model comparison

Devstral 2 vs Qwen3.8 Max

Qwen3.8 Max has enough public results to be ranked (#22); Devstral 2 does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

Devstral 2 Mistral AI

36.1

Unranked Sparse

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 1 benchmark with published results for both. Devstral 2 scores higher in 0 categories and Qwen3.8 Max in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Qwen3.8 Max leads 53.5 to 33.2.
  • Devstral 2 is cheaper at $0.40 / $2 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
  • Qwen3.8 Max accepts more context: 1M tokens versus 262K.
  • Devstral 2 has downloadable open weights; the other is API-only.

Side by side

Devstral 2Qwen3.8 Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index36.156.8
Released2025-12-092026-08-02
WeightsOpenProprietary
Context window262K1M
Max output262K131K
Input $ / M tokens$0.40$2
Output $ / M tokens$2$6
Results tracked239

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Category by category

Coding Qwen3.8 Max leads

Devstral 2: 33.2 (#261), Qwen3.8 Max: 53.5 (#29)

BenchmarkDevstral 2Qwen3.8 Max
LMArena WebDev11971674
DeepSWE—57.5%
SWE-bench Verified (bash only)53.8%—
FrontierSWE—17.8%
SciCode—53.2%
LMArena Coding—1502

Agentic & Tool Use Not comparable

Devstral 2: —, Qwen3.8 Max: 45.4 (#14)

BenchmarkDevstral 2Qwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Not comparable

Devstral 2: —, Qwen3.8 Max: 54.4 (#26)

BenchmarkDevstral 2Qwen3.8 Max
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
LMArena Hard Prompts—1496
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Not comparable

Devstral 2: —, Qwen3.8 Max: 73.2 (#20)

BenchmarkDevstral 2Qwen3.8 Max
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%
LMArena Math—1499

Knowledge Not comparable

Devstral 2: —, Qwen3.8 Max: 61.7 (#27)

BenchmarkDevstral 2Qwen3.8 Max
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
LMArena Expert—1507

Multimodal Not comparable

Devstral 2: —, Qwen3.8 Max: 37.2 (#75)

BenchmarkDevstral 2Qwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Not comparable

Devstral 2: —, Qwen3.8 Max: 56.7 (#18)

BenchmarkDevstral 2Qwen3.8 Max
LMArena Non-English—1472
LMArena Chinese—1538
LMArena French—1503
LMArena German—1483
LMArena Japanese—1467
LMArena Korean—1461
LMArena Russian—1481
LMArena Spanish—1492

Instruction Following Not comparable

Devstral 2: —, Qwen3.8 Max: 77.6 (#17)

BenchmarkDevstral 2Qwen3.8 Max
LMArena Instruction Following—1479

Long Context Not comparable

Devstral 2: —, Qwen3.8 Max: 45.6 (#31)

BenchmarkDevstral 2Qwen3.8 Max
LMArena Longer Query—1489

Writing & Preference Not comparable

Devstral 2: —, Qwen3.8 Max: 67.1 (#30)

BenchmarkDevstral 2Qwen3.8 Max
LMArena Text—1483
LMArena Creative Writing—1479
LMArena Multi-Turn—1489

Frequently asked questions

Is Devstral 2 better than Qwen3.8 Max?

Qwen3.8 Max has enough public results to be ranked (#22); Devstral 2 does not yet, so treat this comparison as directional.

Which is cheaper, Devstral 2 or Qwen3.8 Max?

Devstral 2 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Qwen3.8 Max lists at $2 and $6.

Is Devstral 2 or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 33.2 in the Noometry coding category.

Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 262K.

How many benchmarks do Devstral 2 and Qwen3.8 Max share?

1 benchmark has published results for both models. Devstral 2 has 2 scored results on Noometry and Qwen3.8 Max has 39.

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