Model comparison

GPT-5.5 Pro vs MiniMax-M2

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 37.4 on the Noometry Index. MiniMax-M2 costs 129× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

MiniMax-M2 MiniMax

37.4

Rank #204 Confirmed

Summary

  • The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 19.4.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
  • GPT-5.5 Pro accepts more context: 1.05M tokens versus 205K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 Pro and MiniMax-M2 specifications
GPT-5.5 ProMiniMax-M2
ProviderOpenAIMiniMax
Noometry Index64.337.4
Released2026-04-232025-10-27
WeightsProprietaryOpen
Context window1.05M205K
Max output128K131K
Input $ / M tokens$30$0.30
Output $ / M tokens$180$1.20
Results tracked1421

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Category by category

Coding Not comparable

GPT-5.5 Pro: —, MiniMax-M2: 39.3 (#159)

Coding benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
SWE-bench Verified (bash only)—61%
LMArena WebDev—1297
LMArena Coding—1370

Agentic & Tool Use Not comparable

GPT-5.5 Pro: —, MiniMax-M2: 25.1 (#109)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
Terminal-Bench—30%
Vending-Bench 2—160.6

Reasoning GPT-5.5 Pro leads

GPT-5.5 Pro: 73.3 (#10), MiniMax-M2: 19.4 (#258)

Reasoning benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
ARC-AGI-284.6%—
SimpleBench76.9%—
Kagi LLM Benchmark—57.8%
NYT Connections (extended)—14.8%
ARC-AGI-196.5%—
CritPt30.6%—
Chess Puzzles64%—
LMArena Hard Prompts—1357
DTBench96%—
LMCA53.9%—
Epoch Capabilities Index162.07—

Math GPT-5.5 Pro leads

GPT-5.5 Pro: 84.0 (#10), MiniMax-M2: 37.3 (#160)

Math benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
FrontierMath (Tiers 1-3)87.7%—
FrontierMath Tier 478%—
OTIS Mock AIME 2024-2025100%—
LMArena Math—1352
FrontierMath (Feb 2025 set)52.4%—
FrontierMath Tier 4 (v1)39.6%—

Knowledge GPT-5.5 Pro leads

GPT-5.5 Pro: 64.1 (#19), MiniMax-M2: 37.0 (#163)

Knowledge benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
GPQA Diamond93.9%—
LMArena Expert—1337

Multilingual Not comparable

GPT-5.5 Pro: —, MiniMax-M2: 45.3 (#171)

Multilingual benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
LMArena Non-English—1313
LMArena Chinese—1366
LMArena French—1335
LMArena German—1355
LMArena Russian—1331
LMArena Spanish—1326

Instruction Following Not comparable

GPT-5.5 Pro: —, MiniMax-M2: 70.2 (#166)

Instruction Following benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
LMArena Instruction Following—1328

Long Context Not comparable

GPT-5.5 Pro: —, MiniMax-M2: 40.5 (#153)

Long Context benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
LMArena Longer Query—1331

Writing & Preference Not comparable

GPT-5.5 Pro: —, MiniMax-M2: 53.0 (#162)

Writing & Preference benchmarks
BenchmarkGPT-5.5 ProMiniMax-M2
LMArena Text—1340
LMArena Creative Writing—1286
LMArena Multi-Turn—1361

Frequently asked questions

Is GPT-5.5 Pro better than MiniMax-M2?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 37.4 on the Noometry Index. MiniMax-M2 costs 129× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5.5 Pro or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 205K.

How many benchmarks do GPT-5.5 Pro and MiniMax-M2 share?

0 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and MiniMax-M2 has 21.

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