Model comparison

GPT-4 vs MiniMax-M2

MiniMax-M2 is the stronger model overall, scoring 37.4 to 29.1 on the Noometry Index.

Last verified October 10, 2026. 15 shared benchmarks.

GPT-4 OpenAI

29.1

Rank #316 Confirmed

MiniMax-M2

MiniMax

37.4

Rank #204 Confirmed

Summary

They share 15 benchmarks with published results for both. GPT-4 scores higher in 0 categories and MiniMax-M2 in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where MiniMax-M2 leads 37.3 to 10.8.
MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $30 / $60 for GPT-4.
MiniMax-M2 accepts more context: 205K tokens versus 8K.
MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GPT-4 and MiniMax-M2 specifications
	GPT-4	MiniMax-M2
Provider	OpenAI	MiniMax
Noometry Index	29.1	37.4
Released	2023-03-14	2025-10-27
Weights	Proprietary	Open
Context window	8K	205K
Max output	8K	131K
Input $ / M tokens	$30	$0.30
Output $ / M tokens	$60	$1.20
Results tracked	38	21

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Category by category

Coding MiniMax-M2 leads

GPT-4: 31.6 (#283), MiniMax-M2: 39.3 (#159)

Coding benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Coding	1254	1370
SWE-bench Verified (bash only)	—	61%
LMArena WebDev	—	1297
WeirdML	12.4%	—
BigCodeBench Instruct	46%	—
BigCodeBench Complete	57.2%	—
HumanEval+	79.3%	—

Agentic & Tool Use Not comparable

GPT-4: —, MiniMax-M2: 25.1 (#109)

Agentic & Tool Use benchmarks
Benchmark	GPT-4	MiniMax-M2
Terminal-Bench	—	30%
METR Time Horizons	36.1%	—
Vending-Bench 2	—	160.6

Reasoning MiniMax-M2 leads

GPT-4: 17.8 (#289), MiniMax-M2: 19.4 (#258)

Reasoning benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Hard Prompts	1241	1357
Kagi LLM Benchmark	—	57.8%
NYT Connections (extended)	—	14.8%
Chess Puzzles	4%	—
Mystery Game Puzzles	12%	—
DTBench	62.7%	—
LMCA	17.1%	—
BIG-Bench Hard	75.1%	—
Epoch Capabilities Index	125.89	—
ForecastBench	57.8	—
HellaSwag	95.3%	—
WinoGrande	87.5%	—

Math MiniMax-M2 leads

GPT-4: 10.8 (#309), MiniMax-M2: 37.3 (#160)

Math benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Math	1269	1352
OTIS Mock AIME 2024-2025	1.1%	—
MATH Level 5	23%	—
GSM8K	92%	—

Knowledge MiniMax-M2 leads

GPT-4: 18.4 (#282), MiniMax-M2: 37.0 (#163)

Knowledge benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Expert	1211	1337
GPQA Diamond	35.7%	—
MMLU	86.4%	—
TriviaQA	84.8%	—

Multilingual MiniMax-M2 leads

GPT-4: 40.6 (#215), MiniMax-M2: 45.3 (#171)

Multilingual benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Non-English	1246	1313
LMArena Chinese	1242	1366
LMArena French	1283	1335
LMArena German	1251	1355
LMArena Russian	1251	1331
LMArena Spanish	1261	1326
LMArena Japanese	1209	—
LMArena Korean	1184	—

Instruction Following MiniMax-M2 leads

GPT-4: 65.3 (#222), MiniMax-M2: 70.2 (#166)

Instruction Following benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Instruction Following	1241	1328

Long Context MiniMax-M2 leads

GPT-4: 37.7 (#212), MiniMax-M2: 40.5 (#153)

Long Context benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Longer Query	1244	1331

Writing & Preference MiniMax-M2 leads

GPT-4: 34.9 (#268), MiniMax-M2: 53.0 (#162)

Writing & Preference benchmarks
Benchmark	GPT-4	MiniMax-M2
LMArena Text	1263	1340
LMArena Creative Writing	1244	1286
LMArena Multi-Turn	1257	1361
EQ-Bench Creative Writing	752	—

Frequently asked questions

Is GPT-4 better than MiniMax-M2?

MiniMax-M2 is the stronger model overall, scoring 37.4 to 29.1 on the Noometry Index.

Which is cheaper, GPT-4 or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-4 lists at $30 and $60.

Is GPT-4 or MiniMax-M2 better for coding?

MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2 does, with 205K tokens against 8K.

How many benchmarks do GPT-4 and MiniMax-M2 share?

15 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and MiniMax-M2 has 21.