GPT-5.4 vs Minimax M2 7
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.4
It used to be. Was SOTA in General LLM.
Minimax M2 7
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-5.4 | Minimax M2 7 |
|---|---|---|
| General LLM | #28 · Was SOTA · General LLM Margin 19.04761904761905 LMArena leaderboard dataset · Oct 13, 2026 | #100 · #100 in General LLM Margin 68.02721088435374 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #29 · #29 in Reasoning Margin 20.54794520547945 LMArena leaderboard dataset · Oct 13, 2026 | #92 · #92 in Reasoning Margin 63.6986301369863 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 | #73 · #73 in Coding › Web dev Margin 67.28971962616822 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #34 · #34 in Long context Margin 23.12925170068027 LMArena leaderboard dataset · Oct 13, 2026 | #91 · #91 in Long context Margin 61.904761904761905 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 | #92 · #92 in Factuality Margin 69.40298507462687 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #10 · #10 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Mar 5, 2026 | — |
GPT-5.4: $5.625 per 1M blended tokens.
Minimax M2 7: $0.5249999999999999 per 1M blended tokens.
GPT-5.4: closed weights.
Minimax M2 7: open weights.
General LLM: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in General LLM at #28 against #100.
Reasoning: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in Reasoning at #29 against #92.
Coding › Web dev: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in Coding › Web dev at #55 against #73.
Long context: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in Long context at #34 against #91.
Factuality: As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in Factuality at #6 against #92.
GPT-5.4 or Minimax M2 7?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.4 or Minimax M2 7 for General LLM?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in General LLM at #28 against #100.
GPT-5.4 or Minimax M2 7 for Reasoning?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in Reasoning at #29 against #92.
GPT-5.4 or Minimax M2 7 for Coding › Web dev?
As of Oct 14, 2026, GPT-5.4 leads Minimax M2 7 in Coding › Web dev at #55 against #73.