Noometry

Model comparison

GPT-5 vs MiniMax-M2.7

GPT-5 is the stronger model overall, scoring 50.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 6.5× less per token, which makes it the better buy when GPT-5's lead doesn't matter for your workload.

Last verified . 26 shared benchmarks.

GPT-5 OpenAI

50.9

Rank #45 Confirmed

MiniMax-M2.7 MiniMax

37.7

Rank #196 Confirmed

Summary

  • They share 26 benchmarks with published results for both. GPT-5 scores higher in 8 categories and MiniMax-M2.7 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5 leads 55.0 to 25.9.
  • The biggest single-benchmark swing is WeirdML: 60.7% for GPT-5 and 37% for MiniMax-M2.7.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.25 / $10 for GPT-5.
  • GPT-5 accepts more context: 400K tokens versus 205K.
  • MiniMax-M2.7 has downloadable open weights; the other is API-only.

Side by side

GPT-5MiniMax-M2.7
ProviderOpenAIMiniMax
Noometry Index50.937.7
Released2025-08-072026-03-18
WeightsProprietaryOpen
Context window400K205K
Max output128K131K
Input $ / M tokens$1.25$0.30
Output $ / M tokens$10$1.20
Results tracked6930

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Category by category

Coding GPT-5 leads

GPT-5: 50.3 (#47), MiniMax-M2.7: 41.8 (#120)

BenchmarkGPT-5MiniMax-M2.7
LMArena WebDev14181398
SciCode42.9%47%
WeirdML60.7%37%
LMArena Coding14361454
ALE-Bench1,162599.25
SWE-bench Verified73.6%—
SWE-bench Verified (bash only)65%—
Aider Polyglot88%—
GSO6.9%—
AlgoTune1.67—

Agentic & Tool Use GPT-5 leads

GPT-5: 33.1 (#56), MiniMax-M2.7: 25.1 (#111)

BenchmarkGPT-5MiniMax-M2.7
Terminal-Bench49.6%45.1%
GDPval34.8%—
Remote Labor Index1.7%—
DeepResearch Bench49.6%—
BALROG32.8%—
ExploitBench—13.3%
GBAEval—0%
LMArena Search1133—
METR Time Horizons69.6%—

Reasoning GPT-5 leads

GPT-5: 38.3 (#64), MiniMax-M2.7: 19.7 (#253)

BenchmarkGPT-5MiniMax-M2.7
CritPt12.6%0.6%
LMArena Hard Prompts14161422
Epoch Capabilities Index150145.85
ARC-AGI-29.9%—
SimpleBench56.7%—
Kagi LLM Benchmark72.7%—
NYT Connections (extended)—24.7%
ARC-AGI-165.7%—
Chess Puzzles37%—
EnigmaEval10.5%—
Thematic Generalization—39.3%
EBR-Bench12.7%—
Mystery Game Puzzles23%—
DTBench90.7%—
LMCA40%—
ForecastBench61.4—

Math GPT-5 leads

GPT-5: 55.0 (#44), MiniMax-M2.7: 25.9 (#263)

BenchmarkGPT-5MiniMax-M2.7
ProofBench18%3%
LMArena Math14071420
FrontierMath (Tiers 1-3)55.4%—
FrontierMath Tier 422%—
OTIS Mock AIME 2024-202591.4%—
Omni-MATH64.7%—
MATH Level 598.1%—
FrontierMath (Feb 2025 set)32.4%—
FrontierMath Tier 4 (v1)12.5%—

Knowledge GPT-5 leads

GPT-5: 56.6 (#43), MiniMax-M2.7: 37.7 (#152)

BenchmarkGPT-5MiniMax-M2.7
Vectara Hallucination Rate14.7%12.9%
LMArena Expert14191444
GPQA Diamond86.2%—
Humanity's Last Exam25.3%—
SimpleQA Verified50.1%—
MMLU-Pro86.3%—
Confabulations10.3%—
GPQA (HELM)79.2%—

Multimodal Not comparable

GPT-5: 46.8 (#13), MiniMax-M2.7: —

BenchmarkGPT-5MiniMax-M2.7
LMArena Vision1232—
GeoBench81%—
VPCT66%—

Multilingual GPT-5 leads

GPT-5: 51.4 (#110), MiniMax-M2.7: 50.3 (#123)

BenchmarkGPT-5MiniMax-M2.7
LMArena Non-English13971382
LMArena Chinese14221441
LMArena French14101421
LMArena German14161398
LMArena Japanese14091262
LMArena Korean13601313
LMArena Russian14061383
LMArena Spanish13991403

Instruction Following Too close to call

GPT-5: 73.8 (#113), MiniMax-M2.7: 74.1 (#103)

BenchmarkGPT-5MiniMax-M2.7
LMArena Instruction Following13881405
IFEval87.5%—

Long Context GPT-5 leads

GPT-5: 69.5 (#2), MiniMax-M2.7: 43.3 (#99)

BenchmarkGPT-5MiniMax-M2.7
LMArena Longer Query13991419
Fiction.LiveBench97.2%—

Writing & Preference GPT-5 leads

GPT-5: 63.4 (#65), MiniMax-M2.7: 58.9 (#112)

BenchmarkGPT-5MiniMax-M2.7
LMArena Text14061405
LMArena Creative Writing13651354
LMArena Multi-Turn14261412
Short-Story Creative Writing86%—
EQ-Bench Creative Writing1627—
WildBench85.7%—

Frequently asked questions

Is GPT-5 better than MiniMax-M2.7?

GPT-5 is the stronger model overall, scoring 50.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 6.5× less per token, which makes it the better buy when GPT-5's lead doesn't matter for your workload.

Which is cheaper, GPT-5 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-5 lists at $1.25 and $10.

Is GPT-5 or MiniMax-M2.7 better for coding?

GPT-5 scores higher on coding benchmarks: 50.3 versus 41.8 in the Noometry coding category.

Which has the bigger context window?

GPT-5 does, with 400K tokens against 205K.

How many benchmarks do GPT-5 and MiniMax-M2.7 share?

26 benchmarks have published results for both models. GPT-5 has 69 scored results on Noometry and MiniMax-M2.7 has 30.

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