GPT-6 Sol vs Minimax M3
As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
GPT-6 Sol
#5 Best current rank: #5 in Coding, as of Oct 14, 2026.
Minimax M3
It used to be. Was SOTA in Coding › Web dev.
| Category | GPT-6 Sol | Minimax M3 |
|---|---|---|
| General LLM | #43 · #43 in General LLM Margin 29.25170068027211 LMArena leaderboard dataset · Oct 13, 2026 | #69 · #69 in General LLM Margin 46.93877551020408 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #39 · #39 in Reasoning Margin 27.397260273972606 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 | #8 · #8 in Science Margin — Epoch AI benchmarking hub · Sep 22, 2026 | #28 · #28 in Science Margin — Epoch AI benchmarking hub · Jun 1, 2026 |
| Coding | #5 · #5 in Coding Margin 27.272727272727266 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Agentic | #5 · #5 in Coding › Agentic Margin 27.272727272727266 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #7 · #7 in Coding › Web dev Margin 5.607476635514018 LMArena leaderboard dataset · Oct 13, 2026 | #49 · #49 in Coding › Web dev Margin 44.85981308411215 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #49 · #49 in Long context Margin 33.33333333333333 LMArena leaderboard dataset · Oct 13, 2026 | #62 · #62 in Long context Margin 42.176870748299315 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #9 · #9 in Vision Margin 26.315789473684205 Epoch AI benchmarking hub · Sep 22, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #70 · #70 in Factuality Margin 52.985074626865675 LMArena leaderboard dataset · Oct 13, 2026 | #75 · #75 in Factuality Margin 56.71641791044776 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #6 · #6 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 22, 2026 | — |
GPT-6 Sol: $4.000000000000001 per 1M blended tokens.
Minimax M3: $0.5249999999999999 per 1M blended tokens.
GPT-6 Sol: closed weights.
Minimax M3: open weights.
General LLM: As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in General LLM at #43 against #69.
Reasoning: As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in Reasoning at #39 against #63.
Science: As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in Science at #8 against #28.
Coding › Web dev: As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in Coding › Web dev at #7 against #49.
Long context: As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in Long context at #49 against #62.
Factuality: As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in Factuality at #70 against #75.
GPT-6 Sol or Minimax M3?
As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
GPT-6 Sol or Minimax M3 for General LLM?
As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in General LLM at #43 against #69.
GPT-6 Sol or Minimax M3 for Reasoning?
As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in Reasoning at #39 against #63.
GPT-6 Sol or Minimax M3 for Science?
As of Oct 14, 2026, GPT-6 Sol leads Minimax M3 in Science at #8 against #28.