Model comparison

GPT-6 Sol vs Mistral Medium 3.1

GPT-6 Sol is the stronger model overall, scoring 49.2 to 31.5 on the Noometry Index. Mistral Medium 3.1 costs 5.0× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified October 10, 2026. 2 shared benchmarks.

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

Mistral Medium 3.1

Mistral AI

31.5

Rank #260 Reported

Summary

They share 2 benchmarks with published results for both. GPT-6 Sol scores higher in 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 10.1.
The biggest single-benchmark swing is NYT Connections (extended): 90.1% for GPT-6 Sol and 6.5% for Mistral Medium 3.1.
Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
GPT-6 Sol accepts more context: 1.05M tokens versus 131K.

Side by side

GPT-6 Sol and Mistral Medium 3.1 specifications
	GPT-6 Sol	Mistral Medium 3.1
Provider	OpenAI	Mistral AI
Noometry Index	49.2	31.5
Released	2026-09-22	—
Weights	Proprietary	Proprietary
Context window	1.05M	131K
Max output	128K	105K
Input $ / M tokens	$2	$0.40
Output $ / M tokens	$10	$2
Results tracked	22	3

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Category by category

Coding Not comparable

GPT-6 Sol: 59.6 (#11), Mistral Medium 3.1: —

Coding benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
DeepSWE	68.8%	—
FrontierCode	49.3%	—
LMArena WebDev	1692	—
LMArena Coding	1453	—

Agentic & Tool Use Not comparable

GPT-6 Sol: 33.5 (#49), Mistral Medium 3.1: —

Agentic & Tool Use benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
GDP.pdf	28%	—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 49.3 (#34), Mistral Medium 3.1: 10.1 (#336)

Reasoning benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
NYT Connections (extended)	90.1%	6.5%
Thematic Generalization	—	20.3%
EBR-Bench	53.3%	—
LMArena Hard Prompts	1420	—

Math Not comparable

GPT-6 Sol: 35.8 (#135), Mistral Medium 3.1: —

Math benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
LMArena Math	1404	—

Knowledge Not comparable

GPT-6 Sol: 43.0 (#87), Mistral Medium 3.1: —

Knowledge benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
Vectara Hallucination Rate	6.5%	—
LMArena Expert	1449	—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#9), Mistral Medium 3.1: —

Multimodal benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
Furniture Assembly	58.3%	—

Multilingual Not comparable

GPT-6 Sol: 51.0 (#113), Mistral Medium 3.1: —

Multilingual benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
LMArena Non-English	1389	—
LMArena Chinese	1416	—
LMArena Russian	1407	—
LMArena Spanish	1377	—

Instruction Following Not comparable

GPT-6 Sol: 74.4 (#97), Mistral Medium 3.1: —

Instruction Following benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
LMArena Instruction Following	1406	—

Long Context Not comparable

GPT-6 Sol: 43.2 (#100), Mistral Medium 3.1: —

Long Context benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
LMArena Longer Query	1415	—

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 72.3 (#15), Mistral Medium 3.1: 55.6 (#140)

Writing & Preference benchmarks
Benchmark	GPT-6 Sol	Mistral Medium 3.1
EQ-Bench Creative Writing	2125	1476
LMArena Text	1396	—
LMArena Creative Writing	1392	—
LMArena Multi-Turn	1405	—

Frequently asked questions

Is GPT-6 Sol better than Mistral Medium 3.1?

Which is cheaper, GPT-6 Sol or Mistral Medium 3.1?

Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; GPT-6 Sol lists at $2 and $10.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 131K.

How many benchmarks do GPT-6 Sol and Mistral Medium 3.1 share?

2 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Mistral Medium 3.1 has 3.