Model comparison

GPT-5.5 Pro vs Mistral 7B

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 23.0 on the Noometry Index. Mistral 7B costs 270× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 5 shared benchmarks.

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

Mistral 7B

Mistral AI

23.0

Rank #351 Confirmed

Summary

They share 5 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Mistral 7B in 0 categories; 3 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 8.1.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 0.3% for Mistral 7B.
Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
GPT-5.5 Pro accepts more context: 1.05M tokens versus 8K.
Mistral 7B has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 Pro and Mistral 7B specifications
	GPT-5.5 Pro	Mistral 7B
Provider	OpenAI	Mistral AI
Noometry Index	64.3	23.0
Released	2026-04-23	2023-09-27
Weights	Proprietary	Open
Context window	1.05M	8K
Max output	128K	8K
Input $ / M tokens	$30	$0.25
Output $ / M tokens	$180	$0.25
Results tracked	14	37

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Category by category

Coding Not comparable

GPT-5.5 Pro: —, Mistral 7B: 26.4 (#326)

Coding benchmarks
Benchmark	GPT-5.5 Pro	Mistral 7B
BigCodeBench Instruct	—	19.5%
LMArena Coding	—	1082
BigCodeBench Complete	—	27.3%
HumanEval+	—	36%
MBPP+	—	42.1%

Reasoning GPT-5.5 Pro leads

GPT-5.5 Pro: 73.3 (#10), Mistral 7B: 13.1 (#336)

Reasoning benchmarks
Benchmark	GPT-5.5 Pro	Mistral 7B
Chess Puzzles	64%	0%
DTBench	96%	42.5%
Epoch Capabilities Index	162.07	112.21
ARC-AGI-2	84.6%	—
SimpleBench	76.9%	—
ARC-AGI-1	96.5%	—
CritPt	30.6%	—
LMArena Hard Prompts	—	1067
LMCA	53.9%	—
Adversarial NLI	—	47.1%
BIG-Bench Hard	—	56.1%
HellaSwag	—	81%
PIQA	—	83%
WinoGrande	—	75.3%

Math GPT-5.5 Pro leads

GPT-5.5 Pro: 84.0 (#10), Mistral 7B: 8.1 (#325)

Math benchmarks
Benchmark	GPT-5.5 Pro	Mistral 7B
OTIS Mock AIME 2024-2025	100%	0.3%
FrontierMath (Tiers 1-3)	87.7%	—
FrontierMath Tier 4	78%	—
LMArena Math	—	1085
MATH Level 5	—	3.7%
FrontierMath (Feb 2025 set)	52.4%	—
FrontierMath Tier 4 (v1)	39.6%	—
GSM8K	—	54.4%

Knowledge GPT-5.5 Pro leads

GPT-5.5 Pro: 64.1 (#19), Mistral 7B: 7.4 (#311)

Knowledge benchmarks
Benchmark	GPT-5.5 Pro	Mistral 7B
GPQA Diamond	93.9%	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-5.5 Pro: —, Mistral 7B: 25.8 (#283)

Multilingual benchmarks
Benchmark	GPT-5.5 Pro	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-5.5 Pro: —, Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
Benchmark	GPT-5.5 Pro	Mistral 7B
LMArena Instruction Following	—	1060

Long Context Not comparable

GPT-5.5 Pro: —, Mistral 7B: 32.2 (#271)

Long Context benchmarks
Benchmark	GPT-5.5 Pro	Mistral 7B
LMArena Longer Query	—	1060

Writing & Preference Not comparable

GPT-5.5 Pro: —, Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
Benchmark	GPT-5.5 Pro	Mistral 7B
LMArena Text	—	1090
LMArena Creative Writing	—	1068
LMArena Multi-Turn	—	1062

Frequently asked questions

Is GPT-5.5 Pro better than Mistral 7B?

Which is cheaper, GPT-5.5 Pro or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 8K.

How many benchmarks do GPT-5.5 Pro and Mistral 7B share?

5 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mistral 7B has 37.