Model comparison

Mistral Small vs Qwen3.5 Max Preview

Qwen3.5 Max Preview is the stronger model overall, scoring 45.3 to 33.4 on the Noometry Index.

Last verified . 17 shared benchmarks.

Mistral Small Mistral AI

33.4

Rank #243 Confirmed

Qwen3.5 Max Preview Alibaba (Qwen)

45.3

Rank #71 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Mistral Small scores higher in 0 categories and Qwen3.5 Max Preview in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3.5 Max Preview leads 40.1 to 16.4.
  • Mistral Small has downloadable open weights; the other is API-only.

Side by side

Mistral Small and Qwen3.5 Max Preview specifications
Mistral SmallQwen3.5 Max Preview
ProviderMistral AIAlibaba (Qwen)
Noometry Index33.445.3
Released2024-02-26—
WeightsOpenProprietary
Context window262K—
Max output256K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked3917

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Category by category

Coding Qwen3.5 Max Preview leads

Mistral Small: 34.0 (#247), Qwen3.5 Max Preview: 44.0 (#77)

Coding benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Coding13621487
SciCode26.5%—
BigCodeBench Instruct36.1%—
LiveBench Coding36.2%—
BigCodeBench Complete46.6%—
ALE-Bench497.62—

Agentic & Tool Use Not comparable

Mistral Small: 28.1 (#93), Qwen3.5 Max Preview: —

Agentic & Tool Use benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
Berkeley Function Calling Leaderboard37.1%—

Reasoning Qwen3.5 Max Preview leads

Mistral Small: 19.8 (#250), Qwen3.5 Max Preview: 30.8 (#84)

Reasoning benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Hard Prompts13351483
Kagi LLM Benchmark37.8%—
CritPt0%—
LiveBench Reasoning44.8%—
DTBench70.9%—
LiveBench Data Analysis53.7%—
LMCA20.6%—
LiveBench44%—

Math Qwen3.5 Max Preview leads

Mistral Small: 16.4 (#293), Qwen3.5 Max Preview: 40.1 (#94)

Math benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Math13411474
OTIS Mock AIME 2024-20255.8%—
LiveBench Math39.9%—
MATH Level 546.8%—

Knowledge Qwen3.5 Max Preview leads

Mistral Small: 31.0 (#222), Qwen3.5 Max Preview: 41.8 (#107)

Knowledge benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Expert12911489
GPQA Diamond47.5%—
Vectara Hallucination Rate5.1%—
MMLU68.7%—

Multimodal Not comparable

Mistral Small: 33.5 (#96), Qwen3.5 Max Preview: —

Multimodal benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Vision1142—

Multilingual Qwen3.5 Max Preview leads

Mistral Small: 45.5 (#169), Qwen3.5 Max Preview: 56.2 (#22)

Multilingual benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Non-English13151465
LMArena Chinese13401534
LMArena French13371484
LMArena German13401487
LMArena Japanese12751495
LMArena Korean12591438
LMArena Russian13241471
LMArena Spanish13461470

Instruction Following Qwen3.5 Max Preview leads

Mistral Small: 66.4 (#209), Qwen3.5 Max Preview: 77.0 (#31)

Instruction Following benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Instruction Following13101467
LiveBench Instruction Following63.7%—

Long Context Qwen3.5 Max Preview leads

Mistral Small: 40.4 (#156), Qwen3.5 Max Preview: 45.2 (#45)

Long Context benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Longer Query13271476

Writing & Preference Qwen3.5 Max Preview leads

Mistral Small: 52.5 (#171), Qwen3.5 Max Preview: 66.0 (#41)

Writing & Preference benchmarks
BenchmarkMistral SmallQwen3.5 Max Preview
LMArena Text13381470
LMArena Creative Writing13051464
LMArena Multi-Turn13441478
LiveBench Language30.5%—

Frequently asked questions

Is Mistral Small better than Qwen3.5 Max Preview?

Qwen3.5 Max Preview is the stronger model overall, scoring 45.3 to 33.4 on the Noometry Index.

Is Mistral Small or Qwen3.5 Max Preview better for coding?

Qwen3.5 Max Preview scores higher on coding benchmarks: 44.0 versus 34.0 in the Noometry coding category.

How many benchmarks do Mistral Small and Qwen3.5 Max Preview share?

17 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen3.5 Max Preview has 17.

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