Model comparison

GPT-5.1-Codex vs Mistral 7B

GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 23.0 on the Noometry Index. Mistral 7B costs 14× less per token, which makes it the better buy when GPT-5.1-Codex's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

GPT-5.1-Codex OpenAI

38.6

Rank #186 Reported

Mistral 7B

Mistral AI

23.0

Rank #351 Confirmed

Summary

The widest gap is in math, where GPT-5.1-Codex leads 30.3 to 8.1.
Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
GPT-5.1-Codex accepts more context: 400K tokens versus 8K.
Mistral 7B has downloadable open weights; the other is API-only.

Side by side

GPT-5.1-Codex and Mistral 7B specifications
	GPT-5.1-Codex	Mistral 7B
Provider	OpenAI	Mistral AI
Noometry Index	38.6	23.0
Released	2025-11-12	2023-09-27
Weights	Proprietary	Open
Context window	400K	8K
Max output	128K	8K
Input $ / M tokens	$1.25	$0.25
Output $ / M tokens	$10	$0.25
Results tracked	6	37

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Category by category

Coding GPT-5.1-Codex leads

GPT-5.1-Codex: 41.9 (#116), Mistral 7B: 26.4 (#326)

Coding benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
SWE-bench Verified (bash only)	66%	—
LMArena WebDev	1337	—
BigCodeBench Instruct	—	19.5%
LMArena Coding	—	1082
BigCodeBench Complete	—	27.3%
ALE-Bench	1,245	—
HumanEval+	—	36%
MBPP+	—	42.1%

Agentic & Tool Use Not comparable

GPT-5.1-Codex: 38.0 (#33), Mistral 7B: —

Agentic & Tool Use benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
Terminal-Bench	60.4%	—
METR Time Horizons	70.8%	—

Reasoning Not comparable

GPT-5.1-Codex: —, Mistral 7B: 13.1 (#336)

Reasoning benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
Chess Puzzles	—	0%
LMArena Hard Prompts	—	1067
DTBench	—	42.5%
Adversarial NLI	—	47.1%
BIG-Bench Hard	—	56.1%
Epoch Capabilities Index	—	112.21
HellaSwag	—	81%
PIQA	—	83%
WinoGrande	—	75.3%

Math GPT-5.1-Codex leads

GPT-5.1-Codex: 30.3 (#235), Mistral 7B: 8.1 (#325)

Math benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
OTIS Mock AIME 2024-2025	—	0.3%
ProofBench	9%	—
LMArena Math	—	1085
MATH Level 5	—	3.7%
GSM8K	—	54.4%

Knowledge Not comparable

GPT-5.1-Codex: —, Mistral 7B: 7.4 (#311)

Knowledge benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
GPQA Diamond	—	15.2%
LMArena Expert	—	1036
ARC (AI2) Challenge	—	78.6%
BoolQ	—	87.4%
MMLU	—	62.5%
OpenBookQA	—	79.8%
TriviaQA	—	75.2%

Multilingual Not comparable

GPT-5.1-Codex: —, Mistral 7B: 25.8 (#283)

Multilingual benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
LMArena Non-English	—	1012
LMArena Chinese	—	1009
LMArena French	—	1037
LMArena German	—	987
LMArena Japanese	—	878
LMArena Russian	—	1018
LMArena Spanish	—	1026

Instruction Following Not comparable

GPT-5.1-Codex: —, Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
LMArena Instruction Following	—	1060

Long Context Not comparable

GPT-5.1-Codex: —, Mistral 7B: 32.2 (#271)

Long Context benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
LMArena Longer Query	—	1060

Writing & Preference Not comparable

GPT-5.1-Codex: —, Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
Benchmark	GPT-5.1-Codex	Mistral 7B
LMArena Text	—	1090
LMArena Creative Writing	—	1068
LMArena Multi-Turn	—	1062

Frequently asked questions

Is GPT-5.1-Codex better than Mistral 7B?

Which is cheaper, GPT-5.1-Codex or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.

Is GPT-5.1-Codex or Mistral 7B better for coding?

GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

GPT-5.1-Codex does, with 400K tokens against 8K.

How many benchmarks do GPT-5.1-Codex and Mistral 7B share?

0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Mistral 7B has 37.