Model comparison

Mistral Medium 3.1 vs Qwen3.5 35B-A3B

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 31.9 on the Noometry Index.

Last verified October 10, 2026. 0 shared benchmarks.

Mistral Medium 3.1

Mistral AI

31.9

Rank #266 Reported

Qwen3.5 35B-A3B

Alibaba (Qwen)

42.0

Rank #123 Confirmed

Summary

The widest gap is in reasoning, where Qwen3.5 35B-A3B leads 24.6 to 10.6.
Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
Qwen3.5 35B-A3B accepts more context: 262K tokens versus 131K.
Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.1 and Qwen3.5 35B-A3B specifications
	Mistral Medium 3.1	Qwen3.5 35B-A3B
Provider	Mistral AI	Alibaba (Qwen)
Noometry Index	31.9	42.0
Released	—	2026-02-01
Weights	Proprietary	Open
Context window	131K	262K
Max output	105K	66K
Input $ / M tokens	$0.40	$0.25
Output $ / M tokens	$2	$2
Results tracked	3	28

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Category by category

Coding Not comparable

Mistral Medium 3.1: —, Qwen3.5 35B-A3B: 33.8 (#251)

Coding benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
LMArena WebDev	—	1254
SciCode	—	29.3%
LMArena Coding	—	1410

Reasoning Qwen3.5 35B-A3B leads

Mistral Medium 3.1: 10.6 (#341), Qwen3.5 35B-A3B: 24.6 (#161)

Reasoning benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
NYT Connections (extended)	6.5%	—
CritPt	—	0.6%
Chess Puzzles	—	10%
Thematic Generalization	20.3%	—
LMArena Hard Prompts	—	1400
DTBench	—	80%
LMCA	—	29.5%
Epoch Capabilities Index	—	142.52

Math Not comparable

Mistral Medium 3.1: —, Qwen3.5 35B-A3B: 39.9 (#97)

Math benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
MathArena Final-Answer Competitions	—	56%
OTIS Mock AIME 2024-2025	—	70%
LMArena Math	—	1404

Knowledge Not comparable

Mistral Medium 3.1: —, Qwen3.5 35B-A3B: 47.8 (#79)

Knowledge benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
GPQA Diamond	—	83.5%
Vectara Hallucination Rate	—	10.5%
LMArena Expert	—	1408

Multilingual Not comparable

Mistral Medium 3.1: —, Qwen3.5 35B-A3B: 50.0 (#127)

Multilingual benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
LMArena Non-English	—	1378
LMArena Chinese	—	1457
LMArena French	—	1412
LMArena German	—	1367
LMArena Japanese	—	1325
LMArena Korean	—	1356
LMArena Russian	—	1376
LMArena Spanish	—	1392

Instruction Following Not comparable

Mistral Medium 3.1: —, Qwen3.5 35B-A3B: 72.8 (#128)

Instruction Following benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
LMArena Instruction Following	—	1379

Long Context Not comparable

Mistral Medium 3.1: —, Qwen3.5 35B-A3B: 42.4 (#127)

Long Context benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
LMArena Longer Query	—	1389

Writing & Preference Qwen3.5 35B-A3B leads

Mistral Medium 3.1: 55.5 (#145), Qwen3.5 35B-A3B: 57.9 (#124)

Writing & Preference benchmarks
Benchmark	Mistral Medium 3.1	Qwen3.5 35B-A3B
LMArena Text	—	1395
LMArena Creative Writing	—	1346
EQ-Bench Creative Writing	1476	—
LMArena Multi-Turn	—	1390

Frequently asked questions

Is Mistral Medium 3.1 better than Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 31.9 on the Noometry Index.

Which is cheaper, Mistral Medium 3.1 or Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.

Which has the bigger context window?

Qwen3.5 35B-A3B does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.1 and Qwen3.5 35B-A3B share?

0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Qwen3.5 35B-A3B has 28.