GPT-5.5 vs Minimax M2 5
As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
GPT-5.5
It used to be. Was SOTA in General LLM.
Minimax M2 5
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-5.5 | Minimax M2 5 |
|---|---|---|
| General LLM | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 | #127 · #127 in General LLM Margin 86.39455782312925 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #25 · #25 in Reasoning Margin 17.808219178082197 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 | #30 · #30 in Science Margin — Epoch AI benchmarking hub · Apr 23, 2026 | — |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #44 · #44 in Coding › Web dev Margin 40.18691588785047 LMArena leaderboard dataset · Oct 13, 2026 | #77 · #77 in Coding › Web dev Margin 71.02803738317758 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 | #116 · #116 in Long context Margin 78.91156462585033 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 | — |
| Factuality | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 | #113 · #113 in Factuality Margin 85.07462686567165 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 | #36 · #36 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Feb 12, 2026 |
GPT-5.5: $11.25 per 1M blended tokens.
Minimax M2 5: $0.47250000000000003 per 1M blended tokens.
GPT-5.5: closed weights.
Minimax M2 5: open weights.
General LLM: As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in General LLM at #21 against #127.
Reasoning: As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in Reasoning at #25 against #119.
Coding › Web dev: As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in Coding › Web dev at #44 against #77.
Long context: As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in Long context at #23 against #116.
Factuality: As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in Factuality at #5 against #113.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in Abstraction (ARC) at #7 against #36.
GPT-5.5 or Minimax M2 5?
As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
GPT-5.5 or Minimax M2 5 for General LLM?
As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in General LLM at #21 against #127.
GPT-5.5 or Minimax M2 5 for Reasoning?
As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in Reasoning at #25 against #119.
GPT-5.5 or Minimax M2 5 for Coding › Web dev?
As of Oct 14, 2026, GPT-5.5 leads Minimax M2 5 in Coding › Web dev at #44 against #77.