Model comparison

Mistral Small 3.2 vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 39.2 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 9.2× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.

Last verified October 10, 2026. 5 shared benchmarks.

Mistral Small 3.2

Mistral AI

31.2

Rank #280 Confirmed

Qwen3 32B

Alibaba (Qwen)

39.2

Rank #172 Confirmed

Summary

They share 5 benchmarks with published results for both. Mistral Small 3.2 scores higher in 0 categories and Qwen3 32B in 4 categories; 4 gaps are clear of the uncertainty.
The widest gap is in math, where Qwen3 32B leads 39.7 to 26.3.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30.3% for Mistral Small 3.2 and 66.9% for Qwen3 32B.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
Mistral Small 3.2 accepts more context: 256K tokens versus 131K.

Side by side

Mistral Small 3.2 and Qwen3 32B specifications
	Mistral Small 3.2	Qwen3 32B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	31.2	39.2
Released	2025-06-20	2025-04
Weights	Open	Open
Context window	256K	131K
Max output	16K	16K
Input $ / M tokens	$0.0938	$0.70
Output $ / M tokens	$0.25	$2.80
Results tracked	6	26

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Category by category

Coding Not comparable

Mistral Small 3.2: —, Qwen3 32B: 37.7 (#190)

Coding benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
Aider Polyglot	—	40%
SciCode	—	35.4%
LMArena Coding	—	1358

Agentic & Tool Use Not comparable

Mistral Small 3.2: —, Qwen3 32B: 32.6 (#62)

Agentic & Tool Use benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
Berkeley Function Calling Leaderboard	—	48.7%

Reasoning Qwen3 32B leads

Mistral Small 3.2: 18.1 (#287), Qwen3 32B: 20.2 (#241)

Reasoning benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
Kagi LLM Benchmark	40.4%	54.9%
Chess Puzzles	1%	5%
Epoch Capabilities Index	131.74	138.51
CritPt	—	0.3%
LMArena Hard Prompts	—	1334
DTBench	—	67.5%
LMCA	—	17.3%

Math Qwen3 32B leads

Mistral Small 3.2: 26.3 (#260), Qwen3 32B: 39.7 (#99)

Math benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
OTIS Mock AIME 2024-2025	30.3%	66.9%
LMArena Math	—	1399

Knowledge Qwen3 32B leads

Mistral Small 3.2: 26.7 (#256), Qwen3 32B: 40.0 (#125)

Knowledge benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
GPQA Diamond	49.1%	65.7%
Vectara Hallucination Rate	—	5.9%
LMArena Expert	—	1362

Multilingual Not comparable

Mistral Small 3.2: —, Qwen3 32B: 45.6 (#167)

Multilingual benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
LMArena Non-English	—	1317
LMArena Chinese	—	1357
LMArena German	—	1341
LMArena Russian	—	1311

Instruction Following Not comparable

Mistral Small 3.2: —, Qwen3 32B: 68.9 (#179)

Instruction Following benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
LMArena Instruction Following	—	1305

Long Context Not comparable

Mistral Small 3.2: —, Qwen3 32B: 43.8 (#87)

Long Context benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
Fiction.LiveBench	—	74.2%
LMArena Longer Query	—	1327

Writing & Preference Qwen3 32B leads

Mistral Small 3.2: 45.0 (#224), Qwen3 32B: 52.9 (#163)

Writing & Preference benchmarks
Benchmark	Mistral Small 3.2	Qwen3 32B
LMArena Text	—	1340
LMArena Creative Writing	—	1297
EQ-Bench Creative Writing	1255	—
LMArena Multi-Turn	—	1331

Frequently asked questions

Is Mistral Small 3.2 better than Qwen3 32B?

Which is cheaper, Mistral Small 3.2 or Qwen3 32B?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 131K.

How many benchmarks do Mistral Small 3.2 and Qwen3 32B share?

5 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3 32B has 26.