GPT-5.6 Sol vs Minimax M2 5
As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
GPT-5.6 Sol
Close. Near-SOTA in Vision, rank #3.
Minimax M2 5
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-5.6 Sol | Minimax M2 5 |
|---|---|---|
| General LLM | #17 · #17 in General LLM Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 | #127 · #127 in General LLM Margin 86.39455782312925 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #12 · #12 in Reasoning Margin 8.904109589041099 LMArena leaderboard dataset · Oct 13, 2026 | #119 · #119 in Reasoning Margin 82.1917808219178 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 | #13 · #13 in Science Margin — Epoch AI benchmarking hub · Jul 9, 2026 | — |
| Coding | #9 · #9 in Coding Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Agentic | #9 · #9 in Coding › Agentic Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #21 · Was SOTA · Coding › Web dev Margin 18.691588785046733 LMArena leaderboard dataset · Oct 13, 2026 | #77 · #77 in Coding › Web dev Margin 71.02803738317758 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #13 · #13 in Long context Margin 8.84353741496598 LMArena leaderboard dataset · Oct 13, 2026 | #116 · #116 in Long context Margin 78.91156462585033 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #3 · Near-SOTA · Vision Margin 10.526315789473685 Epoch AI benchmarking hub · Jul 9, 2026 | — |
| Factuality | #14 · #14 in Factuality Margin 11.194029850746276 LMArena leaderboard dataset · Oct 13, 2026 | #113 · #113 in Factuality Margin 85.07462686567165 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #3 · #3 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 | #36 · #36 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Feb 12, 2026 |
GPT-5.6 Sol: $8.000000000000002 per 1M blended tokens.
Minimax M2 5: $0.47250000000000003 per 1M blended tokens.
GPT-5.6 Sol: closed weights.
Minimax M2 5: open weights.
General LLM: As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in General LLM at #17 against #127.
Reasoning: As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in Reasoning at #12 against #119.
Coding › Web dev: As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in Coding › Web dev at #21 against #77.
Long context: As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in Long context at #13 against #116.
Factuality: As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in Factuality at #14 against #113.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in Abstraction (ARC) at #3 against #36.
GPT-5.6 Sol or Minimax M2 5?
As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
GPT-5.6 Sol or Minimax M2 5 for General LLM?
As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in General LLM at #17 against #127.
GPT-5.6 Sol or Minimax M2 5 for Reasoning?
As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in Reasoning at #12 against #119.
GPT-5.6 Sol or Minimax M2 5 for Coding › Web dev?
As of Oct 14, 2026, GPT-5.6 Sol leads Minimax M2 5 in Coding › Web dev at #21 against #77.