Model comparison

GPT-5 Pro vs MiniMax-M2.1

GPT-5 Pro is the stronger model overall, scoring 46.4 to 38.9 on the Noometry Index. MiniMax-M2.1 costs 79× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GPT-5 Pro OpenAI

46.4

Rank #64 Confirmed

MiniMax-M2.1 MiniMax

38.9

Rank #178 Confirmed

Summary

  • The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 16.6.
  • MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
  • GPT-5 Pro accepts more context: 400K tokens versus 205K.
  • MiniMax-M2.1 has downloadable open weights; the other is API-only.

Side by side

GPT-5 Pro and MiniMax-M2.1 specifications
GPT-5 ProMiniMax-M2.1
ProviderOpenAIMiniMax
Noometry Index46.438.9
Released2025-10-062025-12-23
WeightsProprietaryOpen
Context window400K205K
Max output272K131K
Input $ / M tokens$15$0.30
Output $ / M tokens$120$1.20
Results tracked1222

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Category by category

Coding GPT-5 Pro leads

GPT-5 Pro: 44.0 (#80), MiniMax-M2.1: 40.4 (#143)

Coding benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
LMArena WebDev—1384
WeirdML60.4%—
LMArena Coding—1421
ALE-Bench—623.83
AlgoTune1.31—

Agentic & Tool Use Not comparable

GPT-5 Pro: —, MiniMax-M2.1: 27.9 (#98)

Agentic & Tool Use benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
Terminal-Bench—36.6%

Reasoning GPT-5 Pro leads

GPT-5 Pro: 38.9 (#62), MiniMax-M2.1: 16.6 (#302)

Reasoning benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
ARC-AGI-218.3%—
SimpleBench61.6%—
Kagi LLM Benchmark76.8%—
NYT Connections (extended)—11.2%
ARC-AGI-170.2%—
EnigmaEval18.8%—
LMArena Hard Prompts—1411
Epoch Capabilities Index150.28—

Math GPT-5 Pro leads

GPT-5 Pro: 48.5 (#63), MiniMax-M2.1: 38.3 (#138)

Math benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 419.5%—
LMArena Math—1397
FrontierMath Tier 4 (v1)14.6%—

Knowledge GPT-5 Pro leads

GPT-5 Pro: 56.7 (#42), MiniMax-M2.1: 38.3 (#147)

Knowledge benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
Humanity's Last Exam31.6%—
Vectara Hallucination Rate—11.8%
LMArena Expert—1431

Multilingual Not comparable

GPT-5 Pro: —, MiniMax-M2.1: 50.0 (#128)

Multilingual benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
LMArena Non-English—1378
LMArena Chinese—1430
LMArena French—1404
LMArena German—1381
LMArena Japanese—1287
LMArena Korean—1298
LMArena Russian—1387
LMArena Spanish—1397

Instruction Following Not comparable

GPT-5 Pro: —, MiniMax-M2.1: 73.8 (#112)

Instruction Following benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
LMArena Instruction Following—1400

Long Context Not comparable

GPT-5 Pro: —, MiniMax-M2.1: 43.2 (#101)

Long Context benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
LMArena Longer Query—1416

Writing & Preference Not comparable

GPT-5 Pro: —, MiniMax-M2.1: 58.3 (#120)

Writing & Preference benchmarks
BenchmarkGPT-5 ProMiniMax-M2.1
LMArena Text—1392
LMArena Creative Writing—1361
LMArena Multi-Turn—1396

Frequently asked questions

Is GPT-5 Pro better than MiniMax-M2.1?

GPT-5 Pro is the stronger model overall, scoring 46.4 to 38.9 on the Noometry Index. MiniMax-M2.1 costs 79× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5 Pro or MiniMax-M2.1?

MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5 Pro lists at $15 and $120.

Is GPT-5 Pro or MiniMax-M2.1 better for coding?

GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 40.4 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do GPT-5 Pro and MiniMax-M2.1 share?

0 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and MiniMax-M2.1 has 22.

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