Model comparison

GPT-5.2 Pro vs MiniMax-M2.7

GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 37.4 on the Noometry Index. MiniMax-M2.7 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. 2 shared benchmarks.

GPT-5.2 Pro OpenAI

52.2

Rank #34 Reported

MiniMax-M2.7

MiniMax

37.4

Rank #188 Confirmed

Summary

They share 2 benchmarks with published results for both. GPT-5.2 Pro scores higher in 2 categories and MiniMax-M2.7 in 0 categories; 2 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 24.9.
The biggest single-benchmark swing is NYT Connections (extended): 79.3% for GPT-5.2 Pro and 24.7% for MiniMax-M2.7.
MiniMax-M2.7 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-M2.7 has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 Pro and MiniMax-M2.7 specifications
	GPT-5.2 Pro	MiniMax-M2.7
Provider	OpenAI	MiniMax
Noometry Index	52.2	37.4
Released	2025-12-11	2026-03-18
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	30

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Category by category

Coding Not comparable

GPT-5.2 Pro: —, MiniMax-M2.7: 41.4 (#115)

Coding benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
LMArena WebDev	—	1397
SciCode	—	47%
WeirdML	—	37%
LMArena Coding	—	1454
ALE-Bench	—	599.25

Agentic & Tool Use Not comparable

GPT-5.2 Pro: —, MiniMax-M2.7: 24.9 (#103)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
Terminal-Bench	—	45.1%
ExploitBench	—	13.3%
GBAEval	—	0%

Reasoning GPT-5.2 Pro leads

GPT-5.2 Pro: 51.8 (#31), MiniMax-M2.7: 19.0 (#248)

Reasoning benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
NYT Connections (extended)	79.3%	24.7%
Epoch Capabilities Index	155.41	145.84
ARC-AGI-2	54.2%	—
SimpleBench	57.4%	—
ARC-AGI-1	90.5%	—
CritPt	—	0.6%
Thematic Generalization	—	39.3%
LMArena Hard Prompts	—	1422

Math GPT-5.2 Pro leads

GPT-5.2 Pro: 64.8 (#23), MiniMax-M2.7: 24.9 (#254)

Math benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
FrontierMath (Tiers 1-3)	74%	—
FrontierMath Tier 4	46%	—
ProofBench	—	3%
LMArena Math	—	1420
FrontierMath Tier 4 (v1)	31.3%	—

Knowledge Not comparable

GPT-5.2 Pro: —, MiniMax-M2.7: 37.1 (#151)

Knowledge benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
Vectara Hallucination Rate	—	12.9%
LMArena Expert	—	1443

Multilingual Not comparable

GPT-5.2 Pro: —, MiniMax-M2.7: 50.5 (#120)

Multilingual benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
LMArena Non-English	—	1382
LMArena Chinese	—	1439
LMArena French	—	1422
LMArena German	—	1398
LMArena Japanese	—	1261
LMArena Korean	—	1313
LMArena Russian	—	1383
LMArena Spanish	—	1403

Instruction Following Not comparable

GPT-5.2 Pro: —, MiniMax-M2.7: 74.2 (#101)

Instruction Following benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
LMArena Instruction Following	—	1404

Long Context Not comparable

GPT-5.2 Pro: —, MiniMax-M2.7: 43.3 (#94)

Long Context benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
LMArena Longer Query	—	1419

Writing & Preference Not comparable

GPT-5.2 Pro: —, MiniMax-M2.7: 59.1 (#107)

Writing & Preference benchmarks
Benchmark	GPT-5.2 Pro	MiniMax-M2.7
LMArena Text	—	1404
LMArena Creative Writing	—	1354
LMArena Multi-Turn	—	1413

Frequently asked questions

Is GPT-5.2 Pro better than MiniMax-M2.7?

Which is cheaper, GPT-5.2 Pro or MiniMax-M2.7?

MiniMax-M2.7 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-M2.7 share?

2 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and MiniMax-M2.7 has 30.