Noometry

Model comparison

GPT-4.1 mini vs MiniMax-M2.7

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 33.6 on the Noometry Index.

Last verified . 21 shared benchmarks.

GPT-4.1 mini OpenAI

33.6

Rank #240 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and MiniMax-M2.7 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in long context, where MiniMax-M2.7 leads 43.3 to 31.8.
  • The biggest single-benchmark swing is SciCode: 40.4% for GPT-4.1 mini and 47% for MiniMax-M2.7.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
  • GPT-4.1 mini 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 miniMiniMax-M2.7
ProviderOpenAIMiniMax
Noometry Index33.637.7
Released2025-04-142026-03-18
WeightsProprietaryOpen
Context window1.05M205K
Max output33K131K
Input $ / M tokens$0.40$0.30
Output $ / M tokens$1.60$1.20
Results tracked4730

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Category by category

Coding MiniMax-M2.7 leads

GPT-4.1 mini: 30.6 (#293), MiniMax-M2.7: 41.8 (#120)

BenchmarkGPT-4.1 miniMiniMax-M2.7
SciCode40.4%47%
WeirdML37.6%37%
LMArena Coding13671454
SWE-bench Verified (bash only)23.9%—
Aider Polyglot32.4%—
LMArena WebDev—1398
BigCodeBench Instruct48.9%—
CadEval16%—
ALE-Bench—599.25

Agentic & Tool Use GPT-4.1 mini leads

GPT-4.1 mini: 33.3 (#55), MiniMax-M2.7: 25.1 (#111)

BenchmarkGPT-4.1 miniMiniMax-M2.7
Terminal-Bench—45.1%
Berkeley Function Calling Leaderboard50.5%—
ExploitBench—13.3%
GBAEval—0%

Reasoning MiniMax-M2.7 leads

GPT-4.1 mini: 10.8 (#340), MiniMax-M2.7: 19.7 (#253)

BenchmarkGPT-4.1 miniMiniMax-M2.7
CritPt0%0.6%
LMArena Hard Prompts13491422
Epoch Capabilities Index135.01145.85
ARC-AGI-20%—
Kagi LLM Benchmark48.6%—
NYT Connections (extended)—24.7%
ARC-AGI-13.5%—
Chess Puzzles7%—
Thematic Generalization—39.3%
Mystery Game Puzzles7%—
DTBench68.8%—
LMCA21.1%—

Math MiniMax-M2.7 leads

GPT-4.1 mini: 24.1 (#270), MiniMax-M2.7: 25.9 (#263)

BenchmarkGPT-4.1 miniMiniMax-M2.7
LMArena Math13431420
FrontierMath (Tiers 1-3)6.7%—
OTIS Mock AIME 2024-202544.7%—
ProofBench—3%
Omni-MATH49.1%—
MATH Level 587.3%—
FrontierMath (Feb 2025 set)4.5%—

Knowledge MiniMax-M2.7 leads

GPT-4.1 mini: 34.7 (#194), MiniMax-M2.7: 37.7 (#152)

BenchmarkGPT-4.1 miniMiniMax-M2.7
LMArena Expert13381444
GPQA Diamond65.8%—
SimpleQA Verified12.7%—
MMLU-Pro78.3%—
Vectara Hallucination Rate—12.9%
GPQA (HELM)61.4%—

Multimodal Not comparable

GPT-4.1 mini: 35.8 (#82), MiniMax-M2.7: —

BenchmarkGPT-4.1 miniMiniMax-M2.7
LMArena Vision1181—

Multilingual MiniMax-M2.7 leads

GPT-4.1 mini: 45.7 (#166), MiniMax-M2.7: 50.3 (#123)

BenchmarkGPT-4.1 miniMiniMax-M2.7
LMArena Non-English13181382
LMArena Chinese13291441
LMArena French13581421
LMArena German13511398
LMArena Japanese12901262
LMArena Korean12981313
LMArena Russian13241383
LMArena Spanish13191403

Instruction Following Too close to call

GPT-4.1 mini: 73.7 (#118), MiniMax-M2.7: 74.1 (#103)

BenchmarkGPT-4.1 miniMiniMax-M2.7
LMArena Instruction Following13331405
IFEval90.4%—

Long Context MiniMax-M2.7 leads

GPT-4.1 mini: 31.8 (#275), MiniMax-M2.7: 43.3 (#99)

BenchmarkGPT-4.1 miniMiniMax-M2.7
LMArena Longer Query13441419
Fiction.LiveBench44.4%—

Writing & Preference MiniMax-M2.7 leads

GPT-4.1 mini: 48.6 (#199), MiniMax-M2.7: 58.9 (#112)

BenchmarkGPT-4.1 miniMiniMax-M2.7
LMArena Text13401405
LMArena Creative Writing13001354
LMArena Multi-Turn13541412
EQ-Bench Creative Writing1147—
WildBench83.8%—

Frequently asked questions

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

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 33.6 on the Noometry Index.

Which is cheaper, GPT-4.1 mini 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-4.1 mini lists at $0.40 and $1.60.

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

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 30.6 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GPT-4.1 mini and MiniMax-M2.7 share?

21 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and MiniMax-M2.7 has 30.

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