Model comparison

GPT-4 Turbo vs MiniMax-M2.5

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 30.5 on the Noometry Index.

Last verified October 10, 2026. 18 shared benchmarks.

GPT-4 Turbo OpenAI

30.5

Rank #292 Confirmed

MiniMax-M2.5

MiniMax

38.3

Rank #188 Confirmed

Summary

They share 18 benchmarks with published results for both. GPT-4 Turbo scores higher in 1 category and MiniMax-M2.5 in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in math, where MiniMax-M2.5 leads 26.9 to 9.0.
MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
MiniMax-M2.5 accepts more context: 205K tokens versus 128K.
MiniMax-M2.5 has downloadable open weights; the other is API-only.

Side by side

GPT-4 Turbo and MiniMax-M2.5 specifications
	GPT-4 Turbo	MiniMax-M2.5
Provider	OpenAI	MiniMax
Noometry Index	30.5	38.3
Released	2023-11-06	2026-02-12
Weights	Proprietary	Open
Context window	128K	205K
Max output	4K	131K
Input $ / M tokens	$10	$0.30
Output $ / M tokens	$30	$1.20
Results tracked	36	33

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Category by category

Coding MiniMax-M2.5 leads

GPT-4 Turbo: 33.8 (#249), MiniMax-M2.5: 48.1 (#58)

Coding benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Coding	1268	1381
SWE-bench Verified (bash only)	—	75.8%
LMArena WebDev	—	1387
SWE-bench Multilingual	—	68.3%
WeirdML	18%	—
BigCodeBench Instruct	48.2%	—
BigCodeBench Complete	58.2%	—
ALE-Bench	—	618.17
HumanEval+	86.6%	—
MBPP+	73.3%	—

Agentic & Tool Use Not comparable

GPT-4 Turbo: —, MiniMax-M2.5: 30.4 (#77)

Agentic & Tool Use benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
Terminal-Bench	—	42.7%
METR Time Horizons	36.7%	—
Vending-Bench 2	—	-23.16

Reasoning MiniMax-M2.5 leads

GPT-4 Turbo: 15.3 (#317), MiniMax-M2.5: 17.5 (#292)

Reasoning benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Hard Prompts	1251	1372
Epoch Capabilities Index	127.25	146.68
ARC-AGI-2	—	4.9%
SimpleBench	25.1%	—
Kagi LLM Benchmark	—	55.2%
NYT Connections (extended)	—	16.8%
ARC-AGI-1	—	63.7%
Chess Puzzles	6%	—
DTBench	61.6%	—
LMCA	9.8%	—
ForecastBench	59.4	—

Math MiniMax-M2.5 leads

GPT-4 Turbo: 9.0 (#322), MiniMax-M2.5: 26.9 (#253)

Math benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Math	1272	1378
FrontierMath (Tiers 1-3)	0.7%	—
OTIS Mock AIME 2024-2025	6.7%	—
ProofBench	—	4%
MATH Level 5	46.7%	—

Knowledge MiniMax-M2.5 leads

GPT-4 Turbo: 24.3 (#268), MiniMax-M2.5: 39.2 (#135)

Knowledge benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Expert	1223	1379
GPQA Diamond	46.6%	—
Confabulations	28.4%	—
Vectara Hallucination Rate	—	9.1%
MMLU	81.3%	—

Multimodal Not comparable

GPT-4 Turbo: 30.6 (#110), MiniMax-M2.5: —

Multimodal benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Vision	1090	—

Multilingual MiniMax-M2.5 leads

GPT-4 Turbo: 40.5 (#216), MiniMax-M2.5: 47.1 (#152)

Multilingual benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Non-English	1245	1338
LMArena Chinese	1242	1393
LMArena French	1276	1362
LMArena German	1259	1362
LMArena Japanese	1194	1171
LMArena Korean	1187	1232
LMArena Russian	1259	1358
LMArena Spanish	1260	1354

Instruction Following MiniMax-M2.5 leads

GPT-4 Turbo: 65.8 (#216), MiniMax-M2.5: 71.5 (#148)

Instruction Following benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Instruction Following	1249	1353

Long Context Too close to call

GPT-4 Turbo: 38.0 (#206), MiniMax-M2.5: 37.5 (#216)

Long Context benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Longer Query	1254	1366
CL-bench	—	11.4%
CL-bench Life	—	6.3%

Writing & Preference MiniMax-M2.5 leads

GPT-4 Turbo: 47.7 (#206), MiniMax-M2.5: 53.9 (#153)

Writing & Preference benchmarks
Benchmark	GPT-4 Turbo	MiniMax-M2.5
LMArena Text	1272	1359
LMArena Creative Writing	1269	1331
LMArena Multi-Turn	1267	1364
EQ-Bench Creative Writing	—	1361

Frequently asked questions

Is GPT-4 Turbo better than MiniMax-M2.5?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 30.5 on the Noometry Index.

Which is cheaper, GPT-4 Turbo or MiniMax-M2.5?

MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-4 Turbo lists at $10 and $30.

Is GPT-4 Turbo or MiniMax-M2.5 better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 33.8 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.5 does, with 205K tokens against 128K.

How many benchmarks do GPT-4 Turbo and MiniMax-M2.5 share?

18 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and MiniMax-M2.5 has 33.