Noometry

Model comparison

GPT-6 Sol vs MiniMax-M2

GPT-6 Sol is the stronger model overall, scoring 49.2 to 36.9 on the Noometry Index. MiniMax-M2 costs 7.6× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified . 15 shared benchmarks.

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

MiniMax-M2 MiniMax

36.9

Rank #201 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and MiniMax-M2 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 18.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 90.1% for GPT-6 Sol and 14.8% for MiniMax-M2.
  • MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 Sol accepts more context: 1.05M tokens versus 205K.
  • MiniMax-M2 has downloadable open weights; the other is API-only.

Side by side

GPT-6 SolMiniMax-M2
ProviderOpenAIMiniMax
Noometry Index49.236.9
Released2026-09-222025-10-27
WeightsProprietaryOpen
Context window1.05M205K
Max output128K131K
Input $ / M tokens$2$0.30
Output $ / M tokens$10$1.20
Results tracked2221

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 59.6 (#11), MiniMax-M2: 39.1 (#151)

BenchmarkGPT-6 SolMiniMax-M2
LMArena WebDev16921297
LMArena Coding14531370
DeepSWE68.8%—
FrontierCode49.3%—
SWE-bench Verified (bash only)—61%

Agentic & Tool Use GPT-6 Sol leads

GPT-6 Sol: 33.5 (#49), MiniMax-M2: 24.9 (#102)

BenchmarkGPT-6 SolMiniMax-M2
Terminal-Bench—30%
GDP.pdf28%—
Vending-Bench 2—160.6

Reasoning GPT-6 Sol leads

GPT-6 Sol: 49.3 (#34), MiniMax-M2: 18.6 (#256)

BenchmarkGPT-6 SolMiniMax-M2
NYT Connections (extended)90.1%14.8%
LMArena Hard Prompts14201357
Kagi LLM Benchmark—57.8%
EBR-Bench53.3%—

Math GPT-6 Sol leads

GPT-6 Sol: 35.8 (#135), MiniMax-M2: 34.6 (#158)

BenchmarkGPT-6 SolMiniMax-M2
LMArena Math14041350

Knowledge GPT-6 Sol leads

GPT-6 Sol: 43.0 (#87), MiniMax-M2: 36.3 (#160)

BenchmarkGPT-6 SolMiniMax-M2
LMArena Expert14491336
Vectara Hallucination Rate6.5%—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#9), MiniMax-M2: —

BenchmarkGPT-6 SolMiniMax-M2
Furniture Assembly58.3%—

Multilingual GPT-6 Sol leads

GPT-6 Sol: 51.0 (#113), MiniMax-M2: 45.6 (#165)

BenchmarkGPT-6 SolMiniMax-M2
LMArena Non-English13891314
LMArena Chinese14161367
LMArena Russian14071332
LMArena Spanish13771326
LMArena French—1336
LMArena German—1366

Instruction Following GPT-6 Sol leads

GPT-6 Sol: 74.4 (#97), MiniMax-M2: 70.4 (#160)

BenchmarkGPT-6 SolMiniMax-M2
LMArena Instruction Following14061329

Long Context GPT-6 Sol leads

GPT-6 Sol: 43.2 (#100), MiniMax-M2: 40.5 (#148)

BenchmarkGPT-6 SolMiniMax-M2
LMArena Longer Query14151332

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 72.3 (#15), MiniMax-M2: 53.3 (#157)

BenchmarkGPT-6 SolMiniMax-M2
LMArena Text13961340
LMArena Creative Writing13921288
LMArena Multi-Turn14051362
EQ-Bench Creative Writing2125—

Frequently asked questions

Is GPT-6 Sol better than MiniMax-M2?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 36.9 on the Noometry Index. MiniMax-M2 costs 7.6× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Which is cheaper, GPT-6 Sol or MiniMax-M2?

MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-6 Sol lists at $2 and $10.

Is GPT-6 Sol or MiniMax-M2 better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 39.1 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 205K.

How many benchmarks do GPT-6 Sol and MiniMax-M2 share?

15 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and MiniMax-M2 has 21.

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