Model comparison

GPT-6.1 Sol vs MiniMax-M2.7

MiniMax-M2.7 has enough public results to be ranked (#188); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

MiniMax-M2.7 MiniMax

37.4

Rank #188 Confirmed

Summary

  • The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 41.4.
  • MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 205K.
  • MiniMax-M2.7 has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 Sol and MiniMax-M2.7 specifications
GPT-6.1 SolMiniMax-M2.7
ProviderOpenAIMiniMax
Noometry Index42.137.4
Released2026-09-292026-03-18
WeightsProprietaryOpen
Context window1.05M205K
Max output128K131K
Input $ / M tokens$2$0.30
Output $ / M tokens$10$1.20
Results tracked230

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 51.4, MiniMax-M2.7: 41.4 (#115)

Coding benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
DeepSWE75.2%—
LMArena WebDev—1397
SciCode—47%
WeirdML—37%
LMArena Coding—1454
ALE-Bench—599.25

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 34.3, MiniMax-M2.7: 24.9 (#103)

Agentic & Tool Use benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
Terminal-Bench—45.1%
ExploitBench—13.3%
GBAEval—0%
GDP.pdf32%—

Reasoning Not comparable

GPT-6.1 Sol: —, MiniMax-M2.7: 19.0 (#248)

Reasoning benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
NYT Connections (extended)—24.7%
CritPt—0.6%
Thematic Generalization—39.3%
LMArena Hard Prompts—1422
Epoch Capabilities Index—145.84

Math Not comparable

GPT-6.1 Sol: —, MiniMax-M2.7: 24.9 (#254)

Math benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
ProofBench—3%
LMArena Math—1420

Knowledge Not comparable

GPT-6.1 Sol: —, MiniMax-M2.7: 37.1 (#151)

Knowledge benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
Vectara Hallucination Rate—12.9%
LMArena Expert—1443

Multilingual Not comparable

GPT-6.1 Sol: —, MiniMax-M2.7: 50.5 (#120)

Multilingual benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
LMArena Non-English—1382
LMArena Chinese—1439
LMArena French—1422
LMArena German—1398
LMArena Japanese—1261
LMArena Korean—1313
LMArena Russian—1383
LMArena Spanish—1403

Instruction Following Not comparable

GPT-6.1 Sol: —, MiniMax-M2.7: 74.2 (#101)

Instruction Following benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
LMArena Instruction Following—1404

Long Context Not comparable

GPT-6.1 Sol: —, MiniMax-M2.7: 43.3 (#94)

Long Context benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
LMArena Longer Query—1419

Writing & Preference Not comparable

GPT-6.1 Sol: —, MiniMax-M2.7: 59.1 (#107)

Writing & Preference benchmarks
BenchmarkGPT-6.1 SolMiniMax-M2.7
LMArena Text—1404
LMArena Creative Writing—1354
LMArena Multi-Turn—1413

Frequently asked questions

Is GPT-6.1 Sol better than MiniMax-M2.7?

MiniMax-M2.7 has enough public results to be ranked (#188); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, GPT-6.1 Sol 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-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or MiniMax-M2.7 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 205K.

How many benchmarks do GPT-6.1 Sol and MiniMax-M2.7 share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and MiniMax-M2.7 has 30.

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