Model comparison

Mistral Small 3.2 vs Qwen3.5 27B

Qwen3.5 27B is the stronger model overall, scoring 41.4 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 6.2× less per token, which makes it the better buy when Qwen3.5 27B's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Mistral Small 3.2

Mistral AI

30.8

Rank #271 Confirmed

Qwen3.5 27B

Alibaba (Qwen)

41.4

Rank #127 Confirmed

Summary

The widest gap is in writing & preference, where Qwen3.5 27B leads 59.5 to 45.1.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.30 / $2.40 for Qwen3.5 27B.
Qwen3.5 27B accepts more context: 262K tokens versus 256K.

Side by side

Mistral Small 3.2 and Qwen3.5 27B specifications
	Mistral Small 3.2	Qwen3.5 27B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	30.8	41.4
Released	2025-06-20	2026-02-23
Weights	Open	Open
Context window	256K	262K
Max output	16K	66K
Input $ / M tokens	$0.0938	$0.30
Output $ / M tokens	$0.25	$2.40
Results tracked	6	28

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Category by category

Coding Not comparable

Mistral Small 3.2: —, Qwen3.5 27B: 38.6 (#159)

Coding benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
LMArena WebDev	—	1357
WeirdML	—	39.5%
LMArena Coding	—	1427
ALE-Bench	—	349.45

Agentic & Tool Use Not comparable

Mistral Small 3.2: —, Qwen3.5 27B: —

Agentic & Tool Use benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
Vending-Bench 2	—	201.98

Reasoning Qwen3.5 27B leads

Mistral Small 3.2: 17.5 (#282), Qwen3.5 27B: 26.6 (#116)

Reasoning benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
Kagi LLM Benchmark	40.4%	—
NYT Connections (extended)	—	47.9%
Chess Puzzles	1%	—
Thematic Generalization	—	45.5%
LMArena Hard Prompts	—	1414
DTBench	—	82.4%
LMCA	—	34%
Epoch Capabilities Index	131.73	—

Math Qwen3.5 27B leads

Mistral Small 3.2: 24.9 (#251), Qwen3.5 27B: 36.8 (#103)

Math benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
MathArena Final-Answer Competitions	—	56.7%
OTIS Mock AIME 2024-2025	30.3%	—
LMArena Math	—	1428

Knowledge Qwen3.5 27B leads

Mistral Small 3.2: 26.8 (#249), Qwen3.5 27B: 37.4 (#149)

Knowledge benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
GPQA Diamond	49.1%	—
Vectara Hallucination Rate	—	12.1%
LMArena Expert	—	1428

Multimodal Not comparable

Mistral Small 3.2: —, Qwen3.5 27B: 38.7 (#56)

Multimodal benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
LMArena Vision	—	1240

Multilingual Not comparable

Mistral Small 3.2: —, Qwen3.5 27B: 51.0 (#112)

Multilingual benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
LMArena Non-English	—	1390
LMArena Chinese	—	1478
LMArena French	—	1409
LMArena German	—	1393
LMArena Japanese	—	1345
LMArena Korean	—	1359
LMArena Russian	—	1389
LMArena Spanish	—	1408

Instruction Following Not comparable

Mistral Small 3.2: —, Qwen3.5 27B: 73.7 (#114)

Instruction Following benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
LMArena Instruction Following	—	1393

Long Context Not comparable

Mistral Small 3.2: —, Qwen3.5 27B: 43.1 (#103)

Long Context benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
LMArena Longer Query	—	1413

Writing & Preference Qwen3.5 27B leads

Mistral Small 3.2: 45.1 (#219), Qwen3.5 27B: 59.5 (#106)

Writing & Preference benchmarks
Benchmark	Mistral Small 3.2	Qwen3.5 27B
LMArena Text	—	1409
LMArena Creative Writing	—	1362
EQ-Bench Creative Writing	1255	—
LMArena Multi-Turn	—	1410

Frequently asked questions

Is Mistral Small 3.2 better than Qwen3.5 27B?

Which is cheaper, Mistral Small 3.2 or Qwen3.5 27B?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen3.5 27B lists at $0.30 and $2.40.

Which has the bigger context window?

Qwen3.5 27B does, with 262K tokens against 256K.

How many benchmarks do Mistral Small 3.2 and Qwen3.5 27B share?

0 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3.5 27B has 28.