Model comparison

Mistral vs Qwen3.8 Max

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 29.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Mistral Mistral AI

29.9

Rank #303 Confirmed

Qwen3.8 Max Alibaba (Qwen)

56.8

Rank #22 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.8 Max leads 73.2 to 22.3.

Side by side

Mistral and Qwen3.8 Max specifications
MistralQwen3.8 Max
ProviderMistral AIAlibaba (Qwen)
Noometry Index29.956.8
Released—2026-08-02
WeightsProprietaryProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked2239

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Category by category

Coding Qwen3.8 Max leads

Mistral: 33.8 (#250), Qwen3.8 Max: 53.5 (#29)

Coding benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Coding11621502
DeepSWE—57.5%
LMArena WebDev—1674
FrontierSWE—17.8%
SciCode—53.2%

Agentic & Tool Use Not comparable

Mistral: —, Qwen3.8 Max: 45.4 (#14)

Agentic & Tool Use benchmarks
BenchmarkMistralQwen3.8 Max
APEX-Agents—63.3%
τ²-bench Banking—55.1%
GDP.pdf—23.2%

Reasoning Qwen3.8 Max leads

Mistral: 22.2 (#200), Qwen3.8 Max: 54.4 (#26)

Reasoning benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Hard Prompts11491496
NYT Connections (extended)—88.3%
CritPt—20%
Chess Puzzles—40%
Mystery Game Puzzles—38%
DTBench—92%
LMCA—46.2%
Epoch Capabilities Index—156.41

Math Qwen3.8 Max leads

Mistral: 22.3 (#278), Qwen3.8 Max: 73.2 (#20)

Math benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Math11801499
FrontierMath (Tiers 1-3)—74.7%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—100%
ProofBench—58%
Omni-MATH7.2%—

Knowledge Qwen3.8 Max leads

Mistral: 16.6 (#288), Qwen3.8 Max: 61.7 (#27)

Knowledge benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Expert11251507
GPQA Diamond—92.7%
SimpleQA Verified—47.3%
MMLU-Pro27.7%—
GPQA (HELM)30.3%—

Multimodal Not comparable

Mistral: —, Qwen3.8 Max: 37.2 (#75)

Multimodal benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Vision—1314
Furniture Assembly—20%

Multilingual Qwen3.8 Max leads

Mistral: 32.8 (#254), Qwen3.8 Max: 56.7 (#18)

Multilingual benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Non-English11291472
LMArena Chinese11091538
LMArena French11801503
LMArena German11551483
LMArena Japanese10131467
LMArena Korean10321461
LMArena Russian11681481
LMArena Spanish11431492

Instruction Following Qwen3.8 Max leads

Mistral: 52.6 (#288), Qwen3.8 Max: 77.6 (#17)

Instruction Following benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Instruction Following11521479
IFEval56.8%—

Long Context Qwen3.8 Max leads

Mistral: 35.0 (#245), Qwen3.8 Max: 45.6 (#31)

Long Context benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Longer Query11531489

Writing & Preference Qwen3.8 Max leads

Mistral: 37.0 (#260), Qwen3.8 Max: 67.1 (#30)

Writing & Preference benchmarks
BenchmarkMistralQwen3.8 Max
LMArena Text11651483
LMArena Creative Writing11581479
LMArena Multi-Turn11471489
WildBench66%—

Frequently asked questions

Is Mistral better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 29.9 on the Noometry Index.

Is Mistral or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 33.8 in the Noometry coding category.

How many benchmarks do Mistral and Qwen3.8 Max share?

17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.8 Max has 39.

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