GPT-5.5 vs Minimax M3
As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in 5 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.5
It used to be. Was SOTA in General LLM.
Minimax M3
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-5.5 | Minimax M3 |
|---|---|---|
| General LLM | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 | #69 · #69 in General LLM Margin 46.93877551020408 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #25 · #25 in Reasoning Margin 17.808219178082197 LMArena leaderboard dataset · Oct 13, 2026 | #63 · #63 in Reasoning Margin 43.83561643835616 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 | #28 · #28 in Science Margin — Epoch AI benchmarking hub · Jun 1, 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 | #49 · #49 in Coding › Web dev Margin 44.85981308411215 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 | #62 · #62 in Long context Margin 42.176870748299315 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 | #75 · #75 in Factuality Margin 56.71641791044776 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 | — |
GPT-5.5: $11.25 per 1M blended tokens.
Minimax M3: $0.5249999999999999 per 1M blended tokens.
GPT-5.5: closed weights.
Minimax M3: open weights.
General LLM: As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in General LLM at #21 against #69.
Reasoning: As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in Reasoning at #25 against #63.
Science: As of Oct 14, 2026, Minimax M3 leads GPT-5.5 in Science at #28 against #30.
Coding › Web dev: As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in Coding › Web dev at #44 against #49.
Long context: As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in Long context at #23 against #62.
Factuality: As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in Factuality at #5 against #75.
GPT-5.5 or Minimax M3?
As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in 5 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.5 or Minimax M3 for General LLM?
As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in General LLM at #21 against #69.
GPT-5.5 or Minimax M3 for Reasoning?
As of Oct 14, 2026, GPT-5.5 leads Minimax M3 in Reasoning at #25 against #63.
GPT-5.5 or Minimax M3 for Science?
As of Oct 14, 2026, Minimax M3 leads GPT-5.5 in Science at #28 against #30.