Noometry

Model comparison

GPT-4.1 nano vs MiniMax-M2.7

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 27.9 on the Noometry Index. GPT-4.1 nano costs 3.0× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

GPT-4.1 nano OpenAI

27.9

Rank #327 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GPT-4.1 nano scores higher in 2 categories and MiniMax-M2.7 in 7 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in long context, where MiniMax-M2.7 leads 43.3 to 23.7.
  • The biggest single-benchmark swing is SciCode: 25.9% for GPT-4.1 nano and 47% for MiniMax-M2.7.
  • GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
  • GPT-4.1 nano accepts more context: 1.05M tokens versus 205K.
  • MiniMax-M2.7 has downloadable open weights; the other is API-only.

Side by side

GPT-4.1 nanoMiniMax-M2.7
ProviderOpenAIMiniMax
Noometry Index27.937.7
Released2025-04-142026-03-18
WeightsProprietaryOpen
Context window1.05M205K
Max output33K131K
Input $ / M tokens$0.10$0.30
Output $ / M tokens$0.40$1.20
Results tracked3830

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Category by category

Coding MiniMax-M2.7 leads

GPT-4.1 nano: 24.1 (#330), MiniMax-M2.7: 41.8 (#120)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
SciCode25.9%47%
WeirdML19%37%
LMArena Coding13061454
Aider Polyglot8.9%—
LMArena WebDev—1398
ALE-Bench—599.25

Agentic & Tool Use GPT-4.1 nano leads

GPT-4.1 nano: 26.5 (#104), MiniMax-M2.7: 25.1 (#111)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
Terminal-Bench—45.1%
Berkeley Function Calling Leaderboard33%—
ExploitBench—13.3%
GBAEval—0%

Reasoning MiniMax-M2.7 leads

GPT-4.1 nano: 8.5 (#349), MiniMax-M2.7: 19.7 (#253)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
CritPt0%0.6%
LMArena Hard Prompts12861422
Epoch Capabilities Index129.62145.85
ARC-AGI-20%—
Kagi LLM Benchmark33.3%—
NYT Connections (extended)—24.7%
ARC-AGI-10%—
Thematic Generalization—39.3%
DTBench52.5%—
LMCA5.5%—

Math GPT-4.1 nano leads

GPT-4.1 nano: 26.9 (#252), MiniMax-M2.7: 25.9 (#263)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
LMArena Math12741420
OTIS Mock AIME 2024-202528.9%—
ProofBench—3%
Omni-MATH36.7%—
MATH Level 570%—
FrontierMath (Feb 2025 set)1%—

Knowledge MiniMax-M2.7 leads

GPT-4.1 nano: 21.8 (#273), MiniMax-M2.7: 37.7 (#152)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
LMArena Expert12721444
GPQA Diamond48.9%—
SimpleQA Verified6%—
MMLU-Pro55%—
Vectara Hallucination Rate—12.9%
GPQA (HELM)50.7%—

Multimodal Not comparable

GPT-4.1 nano: 29.2 (#113), MiniMax-M2.7: —

BenchmarkGPT-4.1 nanoMiniMax-M2.7
LMArena Vision1063—

Multilingual MiniMax-M2.7 leads

GPT-4.1 nano: 41.6 (#205), MiniMax-M2.7: 50.3 (#123)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
LMArena Non-English12601382
LMArena Chinese12701441
LMArena German12881398
LMArena Japanese11981262
LMArena Russian12611383
LMArena French—1421
LMArena Korean—1313
LMArena Spanish—1403

Instruction Following MiniMax-M2.7 leads

GPT-4.1 nano: 67.8 (#193), MiniMax-M2.7: 74.1 (#103)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
LMArena Instruction Following12671405
IFEval84.3%—

Long Context MiniMax-M2.7 leads

GPT-4.1 nano: 23.7 (#296), MiniMax-M2.7: 43.3 (#99)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
LMArena Longer Query12831419
Fiction.LiveBench25%—

Writing & Preference MiniMax-M2.7 leads

GPT-4.1 nano: 40.5 (#243), MiniMax-M2.7: 58.9 (#112)

BenchmarkGPT-4.1 nanoMiniMax-M2.7
LMArena Text12851405
LMArena Creative Writing12601354
LMArena Multi-Turn12771412
EQ-Bench Creative Writing946—
WildBench81.2%—

Frequently asked questions

Is GPT-4.1 nano better than MiniMax-M2.7?

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 27.9 on the Noometry Index. GPT-4.1 nano costs 3.0× less per token, which makes it the better buy when MiniMax-M2.7's lead doesn't matter for your workload.

Which is cheaper, GPT-4.1 nano or MiniMax-M2.7?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

Is GPT-4.1 nano or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 24.1 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-M2.7 share?

18 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and MiniMax-M2.7 has 30.

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