GPT-6.1 Sol vs Mistral Large 4
As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
GPT-6.1 Sol
Yes. SOTA in co-SOTA in Vision.
Mistral Large 4
#36 Best current rank: #36 in Coding › Web dev, as of Oct 14, 2026.
| Category | GPT-6.1 Sol | Mistral Large 4 |
|---|---|---|
| General LLM | #18 · #18 in General LLM Margin 12.244897959183675 LMArena leaderboard dataset · Oct 13, 2026 | #79 · #79 in General LLM Margin 53.74149659863946 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #15 · #15 in Reasoning Margin 10.958904109589042 LMArena leaderboard dataset · Oct 13, 2026 | #76 · #76 in Reasoning Margin 52.73972602739726 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 | #45 · #45 in Science Margin — Epoch AI benchmarking hub · Oct 6, 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 2.803738317757009 LMArena leaderboard dataset · Oct 13, 2026 | #36 · #36 in Coding › Web dev Margin 32.71028037383178 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #17 · #17 in Long context Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 | #85 · #85 in Long context Margin 57.82312925170068 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 | — |
| Factuality | #29 · #29 in Factuality Margin 22.388059701492537 LMArena leaderboard dataset · Oct 13, 2026 | #78 · #78 in Factuality Margin 58.95522388059702 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 | — |
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
Mistral Large 4: $1.0324999999999998 per 1M blended tokens.
GPT-6.1 Sol: closed weights.
Mistral Large 4: closed weights.
General LLM: As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in General LLM at #18 against #79.
Reasoning: As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in Reasoning at #15 against #76.
Science: As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in Science at #4 against #45.
Coding › Web dev: As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in Coding › Web dev at #4 against #36.
Long context: As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in Long context at #17 against #85.
Factuality: As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in Factuality at #29 against #78.
GPT-6.1 Sol or Mistral Large 4?
As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
GPT-6.1 Sol or Mistral Large 4 for General LLM?
As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in General LLM at #18 against #79.
GPT-6.1 Sol or Mistral Large 4 for Reasoning?
As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in Reasoning at #15 against #76.
GPT-6.1 Sol or Mistral Large 4 for Science?
As of Oct 14, 2026, GPT-6.1 Sol leads Mistral Large 4 in Science at #4 against #45.