GPT-6.1 Sol vs Minimax M2 5
As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
| Category | GPT-6.1 Sol | Minimax M2 5 |
|---|---|---|
| General LLM | #18 · #18 in General LLM Margin 9.574468085106389 LMArena leaderboard dataset · Oct 13, 2026 | #164 · #164 in General LLM Margin 87.23404255319149 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #15 · #15 in Reasoning Margin 8.510638297872347 LMArena leaderboard dataset · Oct 13, 2026 | #155 · #155 in Reasoning Margin 82.97872340425532 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 | #4 · #4 in Science Margin — Epoch AI benchmarking hub · Sep 29, 2026 | — |
| Coding | #2 · Near-SOTA · Coding Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Agentic | #2 · Near-SOTA · Coding › Agentic Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #4 · Near-SOTA · Coding › Web dev Margin 2.4000000000000057 LMArena leaderboard dataset · Oct 13, 2026 | #85 · #85 in Coding › Web dev Margin 67.2 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #18 · #18 in Long context Margin 9.574468085106389 LMArena leaderboard dataset · Oct 13, 2026 | #152 · #152 in Long context Margin 80.85106382978724 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 | — |
| Factuality | #33 · #33 in Factuality Margin 19.767441860465127 LMArena leaderboard dataset · Oct 13, 2026 | #149 · #149 in Factuality Margin 87.20930232558139 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 | #36 · #36 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Feb 12, 2026 |
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
Minimax M2 5: $0.44 per 1M blended tokens.
GPT-6.1 Sol: closed weights.
Minimax M2 5: open weights.
General LLM: As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in General LLM at #18 against #164.
Reasoning: As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in Reasoning at #15 against #155.
Coding › Web dev: As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in Coding › Web dev at #4 against #85.
Long context: As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in Long context at #18 against #152.
Factuality: As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in Factuality at #33 against #149.
Abstraction (ARC): As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in Abstraction (ARC) at #1 against #36.
GPT-6.1 Sol or Minimax M2 5?
As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in 6 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, Factuality, and Abstraction (ARC).
GPT-6.1 Sol or Minimax M2 5 for General LLM?
As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in General LLM at #18 against #164.
GPT-6.1 Sol or Minimax M2 5 for Reasoning?
As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in Reasoning at #15 against #155.
GPT-6.1 Sol or Minimax M2 5 for Coding › Web dev?
As of Oct 15, 2026, GPT-6.1 Sol leads Minimax M2 5 in Coding › Web dev at #4 against #85.