GPT-6.1 Sol vs Minimax M2 7
As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-6.1 Sol
Yes. SOTA in co-SOTA in Vision.
Minimax M2 7
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-6.1 Sol | Minimax M2 7 |
|---|---|---|
| General LLM | #18 · #18 in General LLM Margin 12.244897959183675 LMArena leaderboard dataset · Oct 13, 2026 | #100 · #100 in General LLM Margin 68.02721088435374 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #15 · #15 in Reasoning Margin 10.958904109589042 LMArena leaderboard dataset · Oct 13, 2026 | #92 · #92 in Reasoning Margin 63.6986301369863 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #4 · #4 in Science Margin — Epoch AI benchmarking hub · Sep 29, 2026 | — |
| Coding | #2 · Near-SOTA · Coding Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Agentic | #2 · Near-SOTA · Coding › Agentic Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #4 · Near-SOTA · Coding › Web dev Margin 2.803738317757009 LMArena leaderboard dataset · Oct 13, 2026 | #73 · #73 in Coding › Web dev Margin 67.28971962616822 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #17 · #17 in Long context Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 | #91 · #91 in Long context Margin 61.904761904761905 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 | — |
| Factuality | #29 · #29 in Factuality Margin 22.388059701492537 LMArena leaderboard dataset · Oct 13, 2026 | #92 · #92 in Factuality Margin 69.40298507462687 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 | — |
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
Minimax M2 7: $0.5249999999999999 per 1M blended tokens.
GPT-6.1 Sol: closed weights.
Minimax M2 7: open weights.
General LLM: As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in General LLM at #18 against #100.
Reasoning: As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in Reasoning at #15 against #92.
Coding › Web dev: As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in Coding › Web dev at #4 against #73.
Long context: As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in Long context at #17 against #91.
Factuality: As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in Factuality at #29 against #92.
GPT-6.1 Sol or Minimax M2 7?
As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-6.1 Sol or Minimax M2 7 for General LLM?
As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in General LLM at #18 against #100.
GPT-6.1 Sol or Minimax M2 7 for Reasoning?
As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in Reasoning at #15 against #92.
GPT-6.1 Sol or Minimax M2 7 for Coding › Web dev?
As of Oct 14, 2026, GPT-6.1 Sol leads Minimax M2 7 in Coding › Web dev at #4 against #73.