Model comparison

GPT-6.1 Sol vs Mistral Large 3

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 39.1 on the Noometry Index. Mistral Large 3 costs 11× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified October 10, 2026. 15 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Mistral Large 3

Mistral AI

39.1

Rank #176 Confirmed

Summary

They share 15 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Mistral Large 3 in 0 categories; 9 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 15.2.
The biggest single-benchmark swing is NYT Connections (extended): 95.5% for GPT-6.1 Sol and 7.5% for Mistral Large 3.
Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
GPT-6.1 Sol accepts more context: 1.05M tokens versus 262K.
Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and Mistral Large 3 specifications
	GPT-6.1 Sol	Mistral Large 3
Provider	OpenAI	Mistral AI
Noometry Index	65.6	39.1
Released	2026-09-29	2025-12-02
Weights	Proprietary	Open
Context window	1.05M	262K
Max output	128K	8K
Input $ / M tokens	$2	$0.25
Output $ / M tokens	$10	$0.75
Results tracked	34	24

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Mistral Large 3: 34.4 (#237)

Coding benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena WebDev	1755	1230
LMArena Coding	1487	1448
DeepSWE	75.2%	—
FrontierCode	50.2%	—
SciCode	55.8%	—

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Mistral Large 3: —

Agentic & Tool Use benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
APEX-Agents	60%	—
GDP.pdf	32%	—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Mistral Large 3: 15.2 (#319)

Reasoning benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
NYT Connections (extended)	95.5%	7.5%
LMArena Hard Prompts	1466	1429
ARC-AGI-2	94.2%	—
Kagi LLM Benchmark	—	50.9%
ARC-AGI-1	98.5%	—
CritPt	31.7%	—
Chess Puzzles	61%	—
Thematic Generalization	—	23%
EBR-Bench	54.3%	—
Mystery Game Puzzles	80%	—
Epoch Capabilities Index	166.09	—

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Mistral Large 3: 38.7 (#129)

Math benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena Math	1464	1414
FrontierMath (Tiers 1-3)	93.7%	—
FrontierMath Tier 4	100%	—
OTIS Mock AIME 2024-2025	100%	—
ProofBench	99%	—

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Mistral Large 3: 36.0 (#177)

Knowledge benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena Expert	1502	1421
GPQA Diamond	95.4%	—
SimpleQA Verified	73.9%	—
Vectara Hallucination Rate	—	14.5%

Multimodal GPT-6.1 Sol leads

GPT-6.1 Sol: 52.7 (#5), Mistral Large 3: 38.2 (#66)

Multimodal benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena Vision	1288	1221
Furniture Assembly	80%	—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Mistral Large 3: 52.5 (#84)

Multilingual benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena Non-English	1438	1413
LMArena Chinese	1477	1447
LMArena Russian	1455	1411
LMArena French	—	1455
LMArena German	—	1437
LMArena Japanese	—	1394
LMArena Korean	—	1384
LMArena Spanish	—	1440

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Mistral Large 3: 74.0 (#108)

Instruction Following benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena Instruction Following	1468	1403

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Mistral Large 3: 43.1 (#105)

Long Context benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena Longer Query	1465	1413

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Mistral Large 3: 60.0 (#101)

Writing & Preference benchmarks
Benchmark	GPT-6.1 Sol	Mistral Large 3
LMArena Text	1447	1428
LMArena Creative Writing	1432	1386
LMArena Multi-Turn	1449	1429
EQ-Bench Creative Writing	—	1412

Frequently asked questions

Is GPT-6.1 Sol better than Mistral Large 3?

Which is cheaper, GPT-6.1 Sol or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Mistral Large 3 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 262K.

How many benchmarks do GPT-6.1 Sol and Mistral Large 3 share?

15 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mistral Large 3 has 24.