GPT-5.4 vs Minimax M2 5
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
GPT-5.4
It used to be. Was SOTA in General LLM.
Minimax M2 5
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-5.4 | Minimax M2 5 |
|---|---|---|
| General LLM | #28 · Was SOTA · General LLM Margin 19.04761904761905 LMArena leaderboard dataset · Oct 13, 2026 | #127 · #127 in General LLM Margin 86.39455782312925 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #29 · #29 in Reasoning Margin 20.54794520547945 LMArena leaderboard dataset · Oct 13, 2026 | #119 · #119 in Reasoning Margin 82.1917808219178 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #9 · #9 in Math Margin 17.777777777777757 Epoch AI benchmarking hub · Mar 5, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #16 · #16 in Science Margin — Epoch AI benchmarking hub · Mar 5, 2026 | — |
| Coding | #— · Not enough data Margin — Epoch AI benchmarking hub · Mar 5, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #55 · #55 in Coding › Web dev Margin 50.467289719626166 LMArena leaderboard dataset · Oct 13, 2026 | #77 · #77 in Coding › Web dev Margin 71.02803738317758 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #34 · #34 in Long context Margin 23.12925170068027 LMArena leaderboard dataset · Oct 13, 2026 | #116 · #116 in Long context Margin 78.91156462585033 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 | — |
| Factuality | #6 · Was SOTA · Factuality Margin 5.22388059701494 LMArena leaderboard dataset · Oct 13, 2026 | #113 · #113 in Factuality Margin 85.07462686567165 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #10 · #10 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Mar 5, 2026 | #36 · #36 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Feb 12, 2026 |
GPT-5.4: $5.625 per 1M blended tokens.
Minimax M2 5: $0.47250000000000003 per 1M blended tokens.
GPT-5.4: closed weights.
Minimax M2 5: open weights.
General LLM: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in General LLM at #28 against #127.
Reasoning: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in Reasoning at #29 against #119.
Coding › Web dev: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in Coding › Web dev at #55 against #77.
Long context: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in Long context at #34 against #116.
Factuality: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in Factuality at #6 against #113.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in Abstraction (ARC) at #10 against #36.
GPT-5.4 or Minimax M2 5?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
GPT-5.4 or Minimax M2 5 for General LLM?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in General LLM at #28 against #127.
GPT-5.4 or Minimax M2 5 for Reasoning?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in Reasoning at #29 against #119.
GPT-5.4 or Minimax M2 5 for Coding › Web dev?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 5 in Coding › Web dev at #55 against #77.