Model comparison

GPT-5.2 Pro vs Mistral Small 3

GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 31.2 on the Noometry Index. Mistral Small 3 costs 1004× 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 11, 2026. 1 shared benchmarks.

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Mistral Small 3

Mistral AI

31.2

Rank #278 Confirmed

Summary

They share 1 benchmark with published results for both. GPT-5.2 Pro scores higher in 2 categories and Mistral Small 3 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 16.3.
Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
GPT-5.2 Pro accepts more context: 400K tokens versus 33K.
Mistral Small 3 has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 Pro and Mistral Small 3 specifications
	GPT-5.2 Pro	Mistral Small 3
Provider	OpenAI	Mistral AI
Noometry Index	52.3	31.2
Released	2025-12-11	2025-01-30
Weights	Proprietary	Open
Context window	400K	33K
Max output	128K	16K
Input $ / M tokens	$21	$0.05
Output $ / M tokens	$168	$0.08
Results tracked	8	24

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Category by category

Coding Not comparable

GPT-5.2 Pro: —, Mistral Small 3: 36.5 (#207)

Coding benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
BigCodeBench Instruct	—	45.3%
LMArena Coding	—	1246
BigCodeBench Complete	—	50.4%

Reasoning GPT-5.2 Pro leads

GPT-5.2 Pro: 51.5 (#33), Mistral Small 3: 18.9 (#273)

Reasoning benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
Epoch Capabilities Index	155.4	127.07
ARC-AGI-2	54.2%	—
SimpleBench	57.4%	—
NYT Connections (extended)	79.3%	—
ARC-AGI-1	90.5%	—
Chess Puzzles	—	0%
LMArena Hard Prompts	—	1233

Math GPT-5.2 Pro leads

GPT-5.2 Pro: 65.3 (#29), Mistral Small 3: 16.3 (#295)

Math benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
FrontierMath (Tiers 1-3)	74%	—
FrontierMath Tier 4	46%	—
OTIS Mock AIME 2024-2025	—	6.7%
LMArena Math	—	1240
FrontierMath Tier 4 (v1)	31.3%	—

Knowledge Not comparable

GPT-5.2 Pro: —, Mistral Small 3: 25.1 (#263)

Knowledge benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
GPQA Diamond	—	47.3%
Confabulations	—	25.2%
LMArena Expert	—	1202

Multilingual Not comparable

GPT-5.2 Pro: —, Mistral Small 3: 37.3 (#236)

Multilingual benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
LMArena Non-English	—	1198
LMArena Chinese	—	1204
LMArena French	—	1203
LMArena German	—	1211
LMArena Japanese	—	1111
LMArena Korean	—	1188
LMArena Russian	—	1216

Instruction Following Not comparable

GPT-5.2 Pro: —, Mistral Small 3: 63.7 (#229)

Instruction Following benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
LMArena Instruction Following	—	1214

Long Context Not comparable

GPT-5.2 Pro: —, Mistral Small 3: 37.8 (#211)

Long Context benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
LMArena Longer Query	—	1246

Writing & Preference Not comparable

GPT-5.2 Pro: —, Mistral Small 3: 32.2 (#280)

Writing & Preference benchmarks
Benchmark	GPT-5.2 Pro	Mistral Small 3
LMArena Text	—	1234
LMArena Creative Writing	—	1195
EQ-Bench Creative Writing	—	707
LMArena Multi-Turn	—	1217

Frequently asked questions

Is GPT-5.2 Pro better than Mistral Small 3?

Which is cheaper, GPT-5.2 Pro or Mistral Small 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 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 33K.

How many benchmarks do GPT-5.2 Pro and Mistral Small 3 share?

1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Mistral Small 3 has 24.