Model comparison

Mistral Small 3.2 vs Qwen3-VL 235B-A22B

Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 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-VL 235B-A22B's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Mistral Small 3.2

Mistral AI

31.2

Rank #280 Confirmed

Qwen3-VL 235B-A22B

Alibaba (Qwen)

43.2

Rank #95 Confirmed

Summary

The widest gap is in writing & preference, where Qwen3-VL 235B-A22B leads 60.2 to 45.0.
Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.70 / $2.80 for Qwen3-VL 235B-A22B.
Mistral Small 3.2 accepts more context: 256K tokens versus 131K.

Side by side

Mistral Small 3.2 and Qwen3-VL 235B-A22B specifications
	Mistral Small 3.2	Qwen3-VL 235B-A22B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	31.2	43.2
Released	2025-06-20	2025-04
Weights	Open	Open
Context window	256K	131K
Max output	16K	33K
Input $ / M tokens	$0.0938	$0.70
Output $ / M tokens	$0.25	$2.80
Results tracked	6	18

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Category by category

Coding Not comparable

Mistral Small 3.2: —, Qwen3-VL 235B-A22B: 42.4 (#100)

Coding benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
LMArena Coding	—	1439

Reasoning Qwen3-VL 235B-A22B leads

Mistral Small 3.2: 18.1 (#287), Qwen3-VL 235B-A22B: 29.3 (#92)

Reasoning benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
Kagi LLM Benchmark	40.4%	—
Chess Puzzles	1%	—
LMArena Hard Prompts	—	1428
Epoch Capabilities Index	131.74	—

Math Qwen3-VL 235B-A22B leads

Mistral Small 3.2: 26.3 (#260), Qwen3-VL 235B-A22B: 39.0 (#118)

Math benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
OTIS Mock AIME 2024-2025	30.3%	—
LMArena Math	—	1426

Knowledge Qwen3-VL 235B-A22B leads

Mistral Small 3.2: 26.7 (#256), Qwen3-VL 235B-A22B: 40.3 (#121)

Knowledge benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
GPQA Diamond	49.1%	—
LMArena Expert	—	1442

Multimodal Not comparable

Mistral Small 3.2: —, Qwen3-VL 235B-A22B: 39.8 (#55)

Multimodal benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
LMArena Vision	—	1247

Multilingual Not comparable

Mistral Small 3.2: —, Qwen3-VL 235B-A22B: 51.9 (#97)

Multilingual benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
LMArena Non-English	—	1405
LMArena Chinese	—	1463
LMArena French	—	1452
LMArena German	—	1424
LMArena Japanese	—	1385
LMArena Korean	—	1394
LMArena Russian	—	1408
LMArena Spanish	—	1428

Instruction Following Not comparable

Mistral Small 3.2: —, Qwen3-VL 235B-A22B: 74.2 (#101)

Instruction Following benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
LMArena Instruction Following	—	1406

Long Context Not comparable

Mistral Small 3.2: —, Qwen3-VL 235B-A22B: 43.4 (#98)

Long Context benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
LMArena Longer Query	—	1420

Writing & Preference Qwen3-VL 235B-A22B leads

Mistral Small 3.2: 45.0 (#224), Qwen3-VL 235B-A22B: 60.2 (#99)

Writing & Preference benchmarks
Benchmark	Mistral Small 3.2	Qwen3-VL 235B-A22B
LMArena Text	—	1420
LMArena Creative Writing	—	1366
EQ-Bench Creative Writing	1255	—
LMArena Multi-Turn	—	1428

Frequently asked questions

Is Mistral Small 3.2 better than Qwen3-VL 235B-A22B?

Which is cheaper, Mistral Small 3.2 or Qwen3-VL 235B-A22B?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Qwen3-VL 235B-A22B 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-VL 235B-A22B share?

0 benchmarks have published results for both models. Mistral Small 3.2 has 6 scored results on Noometry and Qwen3-VL 235B-A22B has 18.