Model comparison

GPT-6.1 Sol vs Mistral 7B

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 23.0 on the Noometry Index. Mistral 7B costs 16× 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. 16 shared benchmarks.

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Mistral 7B

Mistral AI

23.0

Rank #351 Confirmed

Summary

They share 16 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 8.1.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6.1 Sol and 0.3% for Mistral 7B.
Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
GPT-6.1 Sol accepts more context: 1.05M tokens versus 8K.
Mistral 7B has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and Mistral 7B specifications
	GPT-6.1 Sol	Mistral 7B
Provider	OpenAI	Mistral AI
Noometry Index	65.6	23.0
Released	2026-09-29	2023-09-27
Weights	Proprietary	Open
Context window	1.05M	8K
Max output	128K	8K
Input $ / M tokens	$2	$0.25
Output $ / M tokens	$10	$0.25
Results tracked	34	37

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 63.2 (#8), Mistral 7B: 26.4 (#326)

Coding benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
LMArena Coding	1487	1082
DeepSWE	75.2%	—
FrontierCode	50.2%	—
LMArena WebDev	1755	—
SciCode	55.8%	—
BigCodeBench Instruct	—	19.5%
BigCodeBench Complete	—	27.3%
HumanEval+	—	36%
MBPP+	—	42.1%

Agentic & Tool Use Not comparable

GPT-6.1 Sol: 39.6 (#26), Mistral 7B: —

Agentic & Tool Use benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
APEX-Agents	60%	—
GDP.pdf	32%	—

Reasoning GPT-6.1 Sol leads

GPT-6.1 Sol: 81.9 (#2), Mistral 7B: 13.1 (#336)

Reasoning benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
Chess Puzzles	61%	0%
LMArena Hard Prompts	1466	1067
Epoch Capabilities Index	166.09	112.21
ARC-AGI-2	94.2%	—
NYT Connections (extended)	95.5%	—
ARC-AGI-1	98.5%	—
CritPt	31.7%	—
EBR-Bench	54.3%	—
Mystery Game Puzzles	80%	—
DTBench	—	42.5%
Adversarial NLI	—	47.1%
BIG-Bench Hard	—	56.1%
HellaSwag	—	81%
PIQA	—	83%
WinoGrande	—	75.3%

Math GPT-6.1 Sol leads

GPT-6.1 Sol: 93.7 (#1), Mistral 7B: 8.1 (#325)

Math benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
OTIS Mock AIME 2024-2025	100%	0.3%
LMArena Math	1464	1085
FrontierMath (Tiers 1-3)	93.7%	—
FrontierMath Tier 4	100%	—
ProofBench	99%	—
MATH Level 5	—	3.7%
GSM8K	—	54.4%

Knowledge GPT-6.1 Sol leads

GPT-6.1 Sol: 71.8 (#4), Mistral 7B: 7.4 (#311)

Knowledge benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
GPQA Diamond	95.4%	15.2%
LMArena Expert	1502	1036
SimpleQA Verified	73.9%	—
ARC (AI2) Challenge	—	78.6%
BoolQ	—	87.4%
MMLU	—	62.5%
OpenBookQA	—	79.8%
TriviaQA	—	75.2%

Multimodal Not comparable

GPT-6.1 Sol: 52.7 (#5), Mistral 7B: —

Multimodal benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
LMArena Vision	1288	—
Furniture Assembly	80%	—

Multilingual GPT-6.1 Sol leads

GPT-6.1 Sol: 54.3 (#46), Mistral 7B: 25.8 (#283)

Multilingual benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
LMArena Non-English	1438	1012
LMArena Chinese	1477	1009
LMArena Russian	1455	1018
LMArena French	—	1037
LMArena German	—	987
LMArena Japanese	—	878
LMArena Spanish	—	1026

Instruction Following GPT-6.1 Sol leads

GPT-6.1 Sol: 77.0 (#29), Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
LMArena Instruction Following	1468	1060

Long Context GPT-6.1 Sol leads

GPT-6.1 Sol: 44.9 (#54), Mistral 7B: 32.2 (#271)

Long Context benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
LMArena Longer Query	1465	1060

Writing & Preference GPT-6.1 Sol leads

GPT-6.1 Sol: 63.6 (#63), Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
Benchmark	GPT-6.1 Sol	Mistral 7B
LMArena Text	1447	1090
LMArena Creative Writing	1432	1068
LMArena Multi-Turn	1449	1062

Frequently asked questions

Is GPT-6.1 Sol better than Mistral 7B?

Which is cheaper, GPT-6.1 Sol or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Mistral 7B better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 8K.

How many benchmarks do GPT-6.1 Sol and Mistral 7B share?

16 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Mistral 7B has 37.