Noometry

Model comparison

GPT-6.1 Sol vs MiniMax-M3

MiniMax-M3 has enough public results to be ranked (#81); 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-M3 MiniMax

43.5

Rank #81 Confirmed

Summary

  • The widest gap is in agentic & tool use, where GPT-6.1 Sol leads 34.3 to 22.5.
  • MiniMax-M3 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 1M.
  • MiniMax-M3 has downloadable open weights; the other is API-only.

Side by side

GPT-6.1 SolMiniMax-M3
ProviderOpenAIMiniMax
Noometry Index42.143.5
Released2026-09-292026-06-01
WeightsProprietaryOpen
Context window1.05M1M
Max output128K512K
Input $ / M tokens$2$0.30
Output $ / M tokens$10$1.20
Results tracked241

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 51.4, MiniMax-M3: 41.5 (#111)

BenchmarkGPT-6.1 SolMiniMax-M3
DeepSWE75.2%—
FrontierCode—14.7%
LMArena WebDev—1482
SciCode—47.1%
LMArena Coding—1470
ALE-Bench—640.02

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 34.3, MiniMax-M3: 22.5 (#121)

BenchmarkGPT-6.1 SolMiniMax-M3
APEX-Agents—37.7%
OSWorld 2.0—4.6%
GBAEval—0.9%
GDP.pdf32%—
Vending-Bench 2—2,158

Reasoning Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 29.3 (#83)

BenchmarkGPT-6.1 SolMiniMax-M3
SimpleBench—45.8%
NYT Connections (extended)—65.1%
CritPt—3.7%
Chess Puzzles—14%
LMArena Hard Prompts—1447
Mystery Game Puzzles—8%
DTBench—78.9%
LMCA—33.7%
Surface Evolver Bench—55%
Epoch Capabilities Index—147
ForecastBench—61.4

Math Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 39.1 (#83)

BenchmarkGPT-6.1 SolMiniMax-M3
OTIS Mock AIME 2024-2025—71.1%
ProofBench—18%
LMArena Math—1432

Knowledge Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 58.4 (#32)

BenchmarkGPT-6.1 SolMiniMax-M3
GPQA Diamond—90.9%
LMArena Expert—1462

Multimodal Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 39.5 (#45)

BenchmarkGPT-6.1 SolMiniMax-M3
LMArena Vision—1254
LMArena Document—1435

Multilingual Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 53.2 (#70)

BenchmarkGPT-6.1 SolMiniMax-M3
LMArena Non-English—1420
LMArena Chinese—1465
LMArena French—1445
LMArena German—1424
LMArena Japanese—1381
LMArena Korean—1372
LMArena Russian—1430
LMArena Spanish—1431

Instruction Following Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 75.7 (#56)

BenchmarkGPT-6.1 SolMiniMax-M3
LMArena Instruction Following—1433

Long Context Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 44.2 (#68)

BenchmarkGPT-6.1 SolMiniMax-M3
LMArena Longer Query—1445

Writing & Preference Not comparable

GPT-6.1 Sol: —, MiniMax-M3: 62.3 (#79)

BenchmarkGPT-6.1 SolMiniMax-M3
LMArena Text—1433
LMArena Creative Writing—1405
EQ-Bench 4—1150
LMArena Multi-Turn—1441

Frequently asked questions

Is GPT-6.1 Sol better than MiniMax-M3?

MiniMax-M3 has enough public results to be ranked (#81); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, GPT-6.1 Sol or MiniMax-M3?

MiniMax-M3 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-M3 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 41.5 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1M.

How many benchmarks do GPT-6.1 Sol and MiniMax-M3 share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and MiniMax-M3 has 41.

Related comparisons

Go deeper