Model comparison

GPT-4.1 nano vs MiniMax-M2

MiniMax-M2 is the stronger model overall, scoring 36.9 to 27.7 on the Noometry Index. GPT-4.1 nano costs 3.0× less per token, which makes it the better buy when MiniMax-M2's lead doesn't matter for your workload.

Last verified October 10, 2026. 14 shared benchmarks.

GPT-4.1 nano OpenAI

27.7

Rank #322 Confirmed

MiniMax-M2

MiniMax

36.9

Rank #201 Confirmed

Summary

They share 14 benchmarks with published results for both. GPT-4.1 nano scores higher in 1 category and MiniMax-M2 in 8 categories; 9 gaps are clear of the uncertainty.
The widest gap is in long context, where MiniMax-M2 leads 40.5 to 23.7.
The biggest single-benchmark swing is Kagi LLM Benchmark: 33.3% for GPT-4.1 nano and 57.8% for MiniMax-M2.
GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
GPT-4.1 nano accepts more context: 1.05M tokens versus 205K.
MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nano and MiniMax-M2 specifications
	GPT-4.1 nano	MiniMax-M2
Provider	OpenAI	MiniMax
Noometry Index	27.7	36.9
Released	2025-04-14	2025-10-27
Weights	Proprietary	Open
Context window	1.05M	205K
Max output	33K	131K
Input $ / M tokens	$0.10	$0.30
Output $ / M tokens	$0.40	$1.20
Results tracked	38	21

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Category by category

Coding MiniMax-M2 leads

GPT-4.1 nano: 23.8 (#325), MiniMax-M2: 39.1 (#151)

Coding benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Coding	1306	1370
SWE-bench Verified (bash only)	—	61%
Aider Polyglot	8.9%	—
LMArena WebDev	—	1297
SciCode	25.9%	—
WeirdML	19%	—

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.3 (#98), MiniMax-M2: 24.9 (#102)

Agentic & Tool Use benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
Terminal-Bench	—	30%
Berkeley Function Calling Leaderboard	33%	—
Vending-Bench 2	—	160.6

Reasoning MiniMax-M2 leads

GPT-4.1 nano: 8.6 (#344), MiniMax-M2: 18.6 (#256)

Reasoning benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
Kagi LLM Benchmark	33.3%	57.8%
LMArena Hard Prompts	1286	1357
ARC-AGI-2	0%	—
NYT Connections (extended)	—	14.8%
ARC-AGI-1	0%	—
CritPt	0%	—
DTBench	52.5%	—
LMCA	5.5%	—
Epoch Capabilities Index	129.62	—

Math MiniMax-M2 leads

GPT-4.1 nano: 25.5 (#246), MiniMax-M2: 34.6 (#158)

Math benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Math	1274	1350
OTIS Mock AIME 2024-2025	28.9%	—
Omni-MATH	36.7%	—
MATH Level 5	70%	—
FrontierMath (Feb 2025 set)	1%	—

Knowledge MiniMax-M2 leads

GPT-4.1 nano: 21.8 (#268), MiniMax-M2: 36.3 (#160)

Knowledge benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Expert	1272	1336
GPQA Diamond	48.9%	—
SimpleQA Verified	6%	—
MMLU-Pro	55%	—
GPQA (HELM)	50.7%	—

Multimodal Not comparable

GPT-4.1 nano: 28.6 (#108), MiniMax-M2: —

Multimodal benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Vision	1063	—

Multilingual MiniMax-M2 leads

GPT-4.1 nano: 41.8 (#200), MiniMax-M2: 45.6 (#165)

Multilingual benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Non-English	1260	1314
LMArena Chinese	1270	1367
LMArena German	1288	1366
LMArena Russian	1261	1332
LMArena French	—	1336
LMArena Japanese	1199	—
LMArena Spanish	—	1326

Instruction Following MiniMax-M2 leads

GPT-4.1 nano: 68.0 (#188), MiniMax-M2: 70.4 (#160)

Instruction Following benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Instruction Following	1267	1329
IFEval	84.3%	—

Long Context MiniMax-M2 leads

GPT-4.1 nano: 23.7 (#291), MiniMax-M2: 40.5 (#148)

Long Context benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Longer Query	1283	1332
Fiction.LiveBench	25%	—

Writing & Preference MiniMax-M2 leads

GPT-4.1 nano: 40.7 (#238), MiniMax-M2: 53.3 (#157)

Writing & Preference benchmarks
Benchmark	GPT-4.1 nano	MiniMax-M2
LMArena Text	1285	1340
LMArena Creative Writing	1260	1288
LMArena Multi-Turn	1277	1362
EQ-Bench Creative Writing	946	—
WildBench	81.2%	—

Frequently asked questions

Is GPT-4.1 nano better than MiniMax-M2?

Which is cheaper, GPT-4.1 nano or MiniMax-M2?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; MiniMax-M2 lists at $0.30 and $1.20.

Is GPT-4.1 nano or MiniMax-M2 better for coding?

MiniMax-M2 scores higher on coding benchmarks: 39.1 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

GPT-4.1 nano does, with 1.05M tokens against 205K.

How many benchmarks do GPT-4.1 nano and MiniMax-M2 share?

14 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and MiniMax-M2 has 21.