Model comparison

Magistral Small vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 38.8 to 29.9 on the Noometry Index. Magistral Small costs 1.6× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Last verified . 8 shared benchmarks.

Magistral Small Mistral AI

29.9

Rank #289 Confirmed

Qwen3 32B Alibaba (Qwen)

38.8

Rank #166 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Magistral Small scores higher in 1 category and Qwen3 32B in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 32B leads 37.9 to 24.9.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 6.3% for Magistral Small and 54.9% for Qwen3 32B.
  • Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
  • Qwen3 32B accepts more context: 131K tokens versus 128K.

Side by side

Magistral Small and Qwen3 32B specifications
Magistral SmallQwen3 32B
ProviderMistral AIAlibaba (Qwen)
Noometry Index29.938.8
Released2025-06-102025-04
WeightsOpenOpen
Context window128K131K
Max output40K16K
Input $ / M tokens$0.50$0.70
Output $ / M tokens$1.50$2.80
Results tracked1026

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Category by category

Coding Too close to call

Magistral Small: 37.8 (#172), Qwen3 32B: 37.3 (#184)

Coding benchmarks
BenchmarkMagistral SmallQwen3 32B
SciCode35.2%35.4%
Aider Polyglot—40%
LMArena Coding—1358

Agentic & Tool Use Not comparable

Magistral Small: —, Qwen3 32B: 32.3 (#58)

Agentic & Tool Use benchmarks
BenchmarkMagistral SmallQwen3 32B
Berkeley Function Calling Leaderboard—48.7%

Reasoning Qwen3 32B leads

Magistral Small: 6.9 (#345), Qwen3 32B: 19.6 (#233)

Reasoning benchmarks
BenchmarkMagistral SmallQwen3 32B
Kagi LLM Benchmark6.3%54.9%
CritPt0.3%0.3%
Chess Puzzles3%5%
DTBench61.3%67.5%
Epoch Capabilities Index133.19138.51
ARC-AGI-20%—
ARC-AGI-15%—
LMArena Hard Prompts—1335
LMCA—17.3%

Math Qwen3 32B leads

Magistral Small: 24.9 (#253), Qwen3 32B: 37.9 (#89)

Math benchmarks
BenchmarkMagistral SmallQwen3 32B
OTIS Mock AIME 2024-202530%66.9%
LMArena Math—1399

Knowledge Qwen3 32B leads

Magistral Small: 30.9 (#215), Qwen3 32B: 40.0 (#112)

Knowledge benchmarks
BenchmarkMagistral SmallQwen3 32B
GPQA Diamond56.1%65.7%
Vectara Hallucination Rate—5.9%
LMArena Expert—1362

Multilingual Not comparable

Magistral Small: —, Qwen3 32B: 45.8 (#162)

Multilingual benchmarks
BenchmarkMagistral SmallQwen3 32B
LMArena Non-English—1317
LMArena Chinese—1357
LMArena German—1341
LMArena Russian—1311

Instruction Following Not comparable

Magistral Small: —, Qwen3 32B: 69.1 (#174)

Instruction Following benchmarks
BenchmarkMagistral SmallQwen3 32B
LMArena Instruction Following—1305

Long Context Not comparable

Magistral Small: —, Qwen3 32B: 43.7 (#83)

Long Context benchmarks
BenchmarkMagistral SmallQwen3 32B
Fiction.LiveBench—74.2%
LMArena Longer Query—1327

Writing & Preference Not comparable

Magistral Small: —, Qwen3 32B: 53.1 (#158)

Writing & Preference benchmarks
BenchmarkMagistral SmallQwen3 32B
LMArena Text—1340
LMArena Creative Writing—1297
LMArena Multi-Turn—1331

Frequently asked questions

Is Magistral Small better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 38.8 to 29.9 on the Noometry Index. Magistral Small costs 1.6× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Which is cheaper, Magistral Small or Qwen3 32B?

Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

Is Magistral Small or Qwen3 32B better for coding?

They score almost the same on coding (37.8 vs 37.3); test both on your own repository before choosing.

Which has the bigger context window?

Qwen3 32B does, with 131K tokens against 128K.

How many benchmarks do Magistral Small and Qwen3 32B share?

8 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and Qwen3 32B has 26.

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