Model comparison

GPT-5.2 Pro vs Mistral 7B

GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 23.0 on the Noometry Index. Mistral 7B costs 231× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5.2 Pro scores higher in 2 categories and Mistral 7B in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 8.1.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
  • GPT-5.2 Pro accepts more context: 400K tokens versus 8K.
  • Mistral 7B has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 Pro and Mistral 7B specifications
GPT-5.2 ProMistral 7B
ProviderOpenAIMistral AI
Noometry Index52.323.0
Released2025-12-112023-09-27
WeightsProprietaryOpen
Context window400K8K
Max output128K8K
Input $ / M tokens$21$0.25
Output $ / M tokens$168$0.25
Results tracked837

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Category by category

Coding Not comparable

GPT-5.2 Pro: —, Mistral 7B: 26.4 (#326)

Coding benchmarks
BenchmarkGPT-5.2 ProMistral 7B
BigCodeBench Instruct—19.5%
LMArena Coding—1082
BigCodeBench Complete—27.3%
HumanEval+—36%
MBPP+—42.1%

Reasoning GPT-5.2 Pro leads

GPT-5.2 Pro: 51.5 (#33), Mistral 7B: 13.1 (#336)

Reasoning benchmarks
BenchmarkGPT-5.2 ProMistral 7B
Epoch Capabilities Index155.4112.21
ARC-AGI-254.2%—
SimpleBench57.4%—
NYT Connections (extended)79.3%—
ARC-AGI-190.5%—
Chess Puzzles—0%
LMArena Hard Prompts—1067
DTBench—42.5%
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math GPT-5.2 Pro leads

GPT-5.2 Pro: 65.3 (#29), Mistral 7B: 8.1 (#325)

Math benchmarks
BenchmarkGPT-5.2 ProMistral 7B
FrontierMath (Tiers 1-3)74%—
FrontierMath Tier 446%—
OTIS Mock AIME 2024-2025—0.3%
LMArena Math—1085
MATH Level 5—3.7%
FrontierMath Tier 4 (v1)31.3%—
GSM8K—54.4%

Knowledge Not comparable

GPT-5.2 Pro: —, Mistral 7B: 7.4 (#311)

Knowledge benchmarks
BenchmarkGPT-5.2 ProMistral 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-5.2 Pro: —, Mistral 7B: 25.8 (#283)

Multilingual benchmarks
BenchmarkGPT-5.2 ProMistral 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-5.2 Pro: —, Mistral 7B: 54.2 (#280)

Instruction Following benchmarks
BenchmarkGPT-5.2 ProMistral 7B
LMArena Instruction Following—1060

Long Context Not comparable

GPT-5.2 Pro: —, Mistral 7B: 32.2 (#271)

Long Context benchmarks
BenchmarkGPT-5.2 ProMistral 7B
LMArena Longer Query—1060

Writing & Preference Not comparable

GPT-5.2 Pro: —, Mistral 7B: 30.7 (#286)

Writing & Preference benchmarks
BenchmarkGPT-5.2 ProMistral 7B
LMArena Text—1090
LMArena Creative Writing—1068
LMArena Multi-Turn—1062

Frequently asked questions

Is GPT-5.2 Pro better than Mistral 7B?

GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 23.0 on the Noometry Index. Mistral 7B costs 231× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5.2 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-5.2 Pro lists at $21 and $168.

Which has the bigger context window?

GPT-5.2 Pro does, with 400K tokens against 8K.

How many benchmarks do GPT-5.2 Pro and Mistral 7B share?

1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Mistral 7B has 37.

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