Model comparison

GPT-5.2 Pro vs Mistral Small 3.1

GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 144× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Mistral Small 3.1

Mistral AI

31.7

Rank #269 Confirmed

Summary

They share 1 benchmark with published results for both. GPT-5.2 Pro scores higher in 2 categories and Mistral Small 3.1 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 14.7.
Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
GPT-5.2 Pro accepts more context: 400K tokens versus 128K.
Mistral Small 3.1 has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 Pro and Mistral Small 3.1 specifications
	GPT-5.2 Pro	Mistral Small 3.1
Provider	OpenAI	Mistral AI
Noometry Index	52.3	31.7
Released	2025-12-11	2025-03-17
Weights	Proprietary	Open
Context window	400K	128K
Max output	128K	102K
Input $ / M tokens	$21	$0.35
Output $ / M tokens	$168	$0.56
Results tracked	8	28

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

GPT-5.2 Pro: —, Mistral Small 3.1: 38.3 (#179)

Coding benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
LMArena Coding	—	1309

Reasoning GPT-5.2 Pro leads

GPT-5.2 Pro: 51.5 (#33), Mistral Small 3.1: 19.7 (#254)

Reasoning benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
Epoch Capabilities Index	155.4	127.48
ARC-AGI-2	54.2%	—
SimpleBench	57.4%	—
NYT Connections (extended)	79.3%	—
ARC-AGI-1	90.5%	—
Chess Puzzles	—	1%
LMArena Hard Prompts	—	1278

Math GPT-5.2 Pro leads

GPT-5.2 Pro: 65.3 (#29), Mistral Small 3.1: 14.7 (#301)

Math benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
FrontierMath (Tiers 1-3)	74%	—
FrontierMath Tier 4	46%	—
OTIS Mock AIME 2024-2025	—	3.9%
Omni-MATH	—	24.8%
LMArena Math	—	1262
FrontierMath Tier 4 (v1)	31.3%	—

Knowledge Not comparable

GPT-5.2 Pro: —, Mistral Small 3.1: 22.6 (#271)

Knowledge benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
GPQA Diamond	—	41.9%
MMLU-Pro	—	61%
GPQA (HELM)	—	39.2%
LMArena Expert	—	1257

Multimodal Not comparable

GPT-5.2 Pro: —, Mistral Small 3.1: 33.2 (#99)

Multimodal benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
LMArena Vision	—	1136

Multilingual Not comparable

GPT-5.2 Pro: —, Mistral Small 3.1: 41.2 (#209)

Multilingual benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
LMArena Non-English	—	1255
LMArena Chinese	—	1253
LMArena French	—	1273
LMArena German	—	1266
LMArena Japanese	—	1208
LMArena Korean	—	1206
LMArena Russian	—	1263
LMArena Spanish	—	1283

Instruction Following Not comparable

GPT-5.2 Pro: —, Mistral Small 3.1: 63.6 (#230)

Instruction Following benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
IFEval	—	75%
LMArena Instruction Following	—	1264

Long Context Not comparable

GPT-5.2 Pro: —, Mistral Small 3.1: 39.5 (#178)

Long Context benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
LMArena Longer Query	—	1299

Writing & Preference Not comparable

GPT-5.2 Pro: —, Mistral Small 3.1: 37.0 (#259)

Writing & Preference benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3.1
LMArena Text	—	1277
LMArena Creative Writing	—	1253
EQ-Bench Creative Writing	—	761
WildBench	—	78.8%
LMArena Multi-Turn	—	1270

Frequently asked questions

Is GPT-5.2 Pro better than Mistral Small 3.1?

Which is cheaper, GPT-5.2 Pro or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 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 128K.

How many benchmarks do GPT-5.2 Pro and Mistral Small 3.1 share?

1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Mistral Small 3.1 has 28.