Model comparison

Mistral Medium 3.1 vs Mistral Medium 3.5

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 31.5 on the Noometry Index. Mistral Medium 3.1 costs 3.8× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

Mistral Medium 3.1

Mistral AI

31.5

Rank #260 Reported

Mistral Medium 3.5

Mistral AI

39.6

Rank #151 Confirmed

Summary

They share 1 benchmark with published results for both. Mistral Medium 3.1 scores higher in 0 categories and Mistral Medium 3.5 in 2 categories; 2 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Mistral Medium 3.5 leads 16.6 to 10.1.
The biggest single-benchmark swing is NYT Connections (extended): 6.5% for Mistral Medium 3.1 and 12.9% for Mistral Medium 3.5.
Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
Mistral Medium 3.5 accepts more context: 262K tokens versus 131K.
Mistral Medium 3.5 has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.1 and Mistral Medium 3.5 specifications
	Mistral Medium 3.1	Mistral Medium 3.5
Provider	Mistral AI	Mistral AI
Noometry Index	31.5	39.6
Released	—	—
Weights	Proprietary	Open
Context window	131K	262K
Max output	105K	210K
Input $ / M tokens	$0.40	$1.50
Output $ / M tokens	$2	$7.50
Results tracked	3	22

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Category by category

Coding Not comparable

Mistral Medium 3.1: —, Mistral Medium 3.5: 35.7 (#208)

Coding benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena WebDev	—	1263
LMArena Coding	—	1461

Reasoning Mistral Medium 3.5 leads

Mistral Medium 3.1: 10.1 (#336), Mistral Medium 3.5: 16.6 (#290)

Reasoning benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
NYT Connections (extended)	6.5%	12.9%
Kagi LLM Benchmark	—	41.4%
Thematic Generalization	20.3%	—
LMArena Hard Prompts	—	1436
Epoch Capabilities Index	—	141.42

Math Not comparable

Mistral Medium 3.1: —, Mistral Medium 3.5: 36.4 (#113)

Math benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena Math	—	1432

Knowledge Not comparable

Mistral Medium 3.1: —, Mistral Medium 3.5: 39.3 (#123)

Knowledge benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena Expert	—	1431

Multimodal Not comparable

Mistral Medium 3.1: —, Mistral Medium 3.5: 37.6 (#64)

Multimodal benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena Vision	—	1222

Multilingual Not comparable

Mistral Medium 3.1: —, Mistral Medium 3.5: 52.1 (#93)

Multilingual benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena Non-English	—	1405
LMArena Chinese	—	1443
LMArena French	—	1448
LMArena German	—	1453
LMArena Korean	—	1387
LMArena Russian	—	1396
LMArena Spanish	—	1406

Instruction Following Not comparable

Mistral Medium 3.1: —, Mistral Medium 3.5: 74.7 (#87)

Instruction Following benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena Instruction Following	—	1414

Long Context Not comparable

Mistral Medium 3.1: —, Mistral Medium 3.5: 43.2 (#101)

Long Context benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena Longer Query	—	1414

Writing & Preference Mistral Medium 3.5 leads

Mistral Medium 3.1: 55.6 (#140), Mistral Medium 3.5: 58.6 (#113)

Writing & Preference benchmarks
Benchmark	Mistral Medium 3.1	Mistral Medium 3.5
LMArena Text	—	1421
LMArena Creative Writing	—	1372
EQ-Bench Creative Writing	1476	—
EQ-Bench 4	—	993
LMArena Multi-Turn	—	1423

Frequently asked questions

Is Mistral Medium 3.1 better than Mistral Medium 3.5?

Which is cheaper, Mistral Medium 3.1 or Mistral Medium 3.5?

Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 131K.

How many benchmarks do Mistral Medium 3.1 and Mistral Medium 3.5 share?

1 benchmark has published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Mistral Medium 3.5 has 22.