GPT-5.5 vs Minimax M2 7
As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.5
Close. Near-SOTA in Factuality, rank #5.
Minimax M2 7
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-5.5 | Minimax M2 7 |
|---|---|---|
| General LLM | #22 · Was SOTA · General LLM Margin 11.702127659574472 LMArena leaderboard dataset · Oct 13, 2026 | #129 · #129 in General LLM Margin 68.61702127659575 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #26 · #26 in Reasoning Margin 14.36170212765957 LMArena leaderboard dataset · Oct 13, 2026 | #120 · #120 in Reasoning Margin 64.36170212765958 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 | #48 · #48 in Coding › Web dev Margin 37.6 LMArena leaderboard dataset · Oct 13, 2026 | #80 · #80 in Coding › Web dev Margin 63.2 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #26 · Was SOTA · Long context Margin 13.829787234042556 LMArena leaderboard dataset · Oct 13, 2026 | #117 · #117 in Long context Margin 62.234042553191486 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 | — |
| Factuality | #5 · Near-SOTA · Factuality Margin 3.4883720930232442 LMArena leaderboard dataset · Oct 13, 2026 | #117 · #117 in Factuality Margin 68.6046511627907 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 M2 7: $0.5249999999999999 per 1M blended tokens.
GPT-5.5: closed weights.
Minimax M2 7: open weights.
General LLM: As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in General LLM at #22 against #129.
Reasoning: As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in Reasoning at #26 against #120.
Coding › Web dev: As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in Coding › Web dev at #48 against #80.
Long context: As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in Long context at #26 against #117.
Factuality: As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in Factuality at #5 against #117.
GPT-5.5 or Minimax M2 7?
As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.5 or Minimax M2 7 for General LLM?
As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in General LLM at #22 against #129.
GPT-5.5 or Minimax M2 7 for Reasoning?
As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in Reasoning at #26 against #120.
GPT-5.5 or Minimax M2 7 for Coding › Web dev?
As of Oct 15, 2026, GPT-5.5 leads Minimax M2 7 in Coding › Web dev at #48 against #80.