Model comparison

GPT-5.2 Pro vs MiniMax-M2

GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 37.4 on the Noometry Index. MiniMax-M2 costs 110× 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

MiniMax-M2

MiniMax

37.4

Rank #204 Confirmed

Summary

They share 1 benchmark with published results for both. GPT-5.2 Pro scores higher in 2 categories and MiniMax-M2 in 0 categories; 2 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 19.4.
The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 14.8% for MiniMax-M2.
MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
GPT-5.2 Pro accepts more context: 400K tokens versus 205K.
MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 Pro and MiniMax-M2 specifications
	GPT-5.2 Pro	MiniMax-M2
Provider	OpenAI	MiniMax
Noometry Index	52.3	37.4
Released	2025-12-11	2025-10-27
Weights	Proprietary	Open
Context window	400K	205K
Max output	128K	131K
Input $ / M tokens	$21	$0.30
Output $ / M tokens	$168	$1.20
Results tracked	8	21

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Category by category

Coding Not comparable

GPT-5.2 Pro: —, MiniMax-M2: 39.3 (#159)

Coding benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
SWE-bench Verified (bash only)	—	61%
LMArena WebDev	—	1297
LMArena Coding	—	1370

Agentic & Tool Use Not comparable

GPT-5.2 Pro: —, MiniMax-M2: 25.1 (#109)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
Terminal-Bench	—	30%
Vending-Bench 2	—	160.6

Reasoning GPT-5.2 Pro leads

GPT-5.2 Pro: 51.5 (#33), MiniMax-M2: 19.4 (#258)

Reasoning benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
NYT Connections (extended)	79.3%	14.8%
ARC-AGI-2	54.2%	—
SimpleBench	57.4%	—
Kagi LLM Benchmark	—	57.8%
ARC-AGI-1	90.5%	—
LMArena Hard Prompts	—	1357
Epoch Capabilities Index	155.4	—

Math GPT-5.2 Pro leads

GPT-5.2 Pro: 65.3 (#29), MiniMax-M2: 37.3 (#160)

Math benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
FrontierMath (Tiers 1-3)	74%	—
FrontierMath Tier 4	46%	—
LMArena Math	—	1352
FrontierMath Tier 4 (v1)	31.3%	—

Knowledge Not comparable

GPT-5.2 Pro: —, MiniMax-M2: 37.0 (#163)

Knowledge benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
LMArena Expert	—	1337

Multilingual Not comparable

GPT-5.2 Pro: —, MiniMax-M2: 45.3 (#171)

Multilingual benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
LMArena Non-English	—	1313
LMArena Chinese	—	1366
LMArena French	—	1335
LMArena German	—	1355
LMArena Russian	—	1331
LMArena Spanish	—	1326

Instruction Following Not comparable

GPT-5.2 Pro: —, MiniMax-M2: 70.2 (#166)

Instruction Following benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
LMArena Instruction Following	—	1328

Long Context Not comparable

GPT-5.2 Pro: —, MiniMax-M2: 40.5 (#153)

Long Context benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
LMArena Longer Query	—	1331

Writing & Preference Not comparable

GPT-5.2 Pro: —, MiniMax-M2: 53.0 (#162)

Writing & Preference benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2
LMArena Text	—	1340
LMArena Creative Writing	—	1286
LMArena Multi-Turn	—	1361

Frequently asked questions

Is GPT-5.2 Pro better than MiniMax-M2?

Which is cheaper, GPT-5.2 Pro or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 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 205K.

How many benchmarks do GPT-5.2 Pro and MiniMax-M2 share?

1 benchmark has published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and MiniMax-M2 has 21.