Noometry

Model comparison

GPT-4 vs MiniMax-M2.7

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 29.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

GPT-4 OpenAI

29.1

Rank #316 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GPT-4 scores higher in 0 categories and MiniMax-M2.7 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 34.9.
  • The biggest single-benchmark swing is WeirdML: 12.4% for GPT-4 and 37% for MiniMax-M2.7.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $30 / $60 for GPT-4.
  • MiniMax-M2.7 accepts more context: 205K tokens versus 8K.
  • MiniMax-M2.7 has downloadable open weights; the other is API-only.

Side by side

GPT-4MiniMax-M2.7
ProviderOpenAIMiniMax
Noometry Index29.137.7
Released2023-03-142026-03-18
WeightsProprietaryOpen
Context window8K205K
Max output8K131K
Input $ / M tokens$30$0.30
Output $ / M tokens$60$1.20
Results tracked3830

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Category by category

Coding MiniMax-M2.7 leads

GPT-4: 31.6 (#283), MiniMax-M2.7: 41.8 (#120)

BenchmarkGPT-4MiniMax-M2.7
WeirdML12.4%37%
LMArena Coding12541454
LMArena WebDev—1398
SciCode—47%
BigCodeBench Instruct46%—
BigCodeBench Complete57.2%—
ALE-Bench—599.25
HumanEval+79.3%—

Agentic & Tool Use Not comparable

GPT-4: —, MiniMax-M2.7: 25.1 (#111)

BenchmarkGPT-4MiniMax-M2.7
Terminal-Bench—45.1%
ExploitBench—13.3%
GBAEval—0%
METR Time Horizons36.1%—

Reasoning MiniMax-M2.7 leads

GPT-4: 17.8 (#289), MiniMax-M2.7: 19.7 (#253)

BenchmarkGPT-4MiniMax-M2.7
LMArena Hard Prompts12411422
Epoch Capabilities Index125.89145.85
NYT Connections (extended)—24.7%
CritPt—0.6%
Chess Puzzles4%—
Thematic Generalization—39.3%
Mystery Game Puzzles12%—
DTBench62.7%—
LMCA17.1%—
BIG-Bench Hard75.1%—
ForecastBench57.8—
HellaSwag95.3%—
WinoGrande87.5%—

Math MiniMax-M2.7 leads

GPT-4: 10.8 (#309), MiniMax-M2.7: 25.9 (#263)

BenchmarkGPT-4MiniMax-M2.7
LMArena Math12691420
OTIS Mock AIME 2024-20251.1%—
ProofBench—3%
MATH Level 523%—
GSM8K92%—

Knowledge MiniMax-M2.7 leads

GPT-4: 18.4 (#282), MiniMax-M2.7: 37.7 (#152)

BenchmarkGPT-4MiniMax-M2.7
LMArena Expert12111444
GPQA Diamond35.7%—
Vectara Hallucination Rate—12.9%
MMLU86.4%—
TriviaQA84.8%—

Multilingual MiniMax-M2.7 leads

GPT-4: 40.6 (#215), MiniMax-M2.7: 50.3 (#123)

BenchmarkGPT-4MiniMax-M2.7
LMArena Non-English12461382
LMArena Chinese12421441
LMArena French12831421
LMArena German12511398
LMArena Japanese12091262
LMArena Korean11841313
LMArena Russian12511383
LMArena Spanish12611403

Instruction Following MiniMax-M2.7 leads

GPT-4: 65.3 (#222), MiniMax-M2.7: 74.1 (#103)

BenchmarkGPT-4MiniMax-M2.7
LMArena Instruction Following12411405

Long Context MiniMax-M2.7 leads

GPT-4: 37.7 (#212), MiniMax-M2.7: 43.3 (#99)

BenchmarkGPT-4MiniMax-M2.7
LMArena Longer Query12441419

Writing & Preference MiniMax-M2.7 leads

GPT-4: 34.9 (#268), MiniMax-M2.7: 58.9 (#112)

BenchmarkGPT-4MiniMax-M2.7
LMArena Text12631405
LMArena Creative Writing12441354
LMArena Multi-Turn12571412
EQ-Bench Creative Writing752—

Frequently asked questions

Is GPT-4 better than MiniMax-M2.7?

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 29.1 on the Noometry Index.

Which is cheaper, GPT-4 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 lists at $30 and $60.

Is GPT-4 or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 31.6 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.7 does, with 205K tokens against 8K.

How many benchmarks do GPT-4 and MiniMax-M2.7 share?

19 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and MiniMax-M2.7 has 30.

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