GPT-5.5 vs Mistral Medium 3.5
As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.5
It used to be. Was SOTA in General LLM.
Mistral Medium 3.5
#82 Best current rank: #82 in General LLM, as of Oct 14, 2026.
| Category | GPT-5.5 | Mistral Medium 3.5 |
|---|---|---|
| General LLM | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 | #82 · #82 in General LLM Margin 55.78231292517007 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #25 · #25 in Reasoning Margin 17.808219178082197 LMArena leaderboard dataset · Oct 13, 2026 | #86 · #86 in Reasoning Margin 59.58904109589041 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 | #44 · #44 in Coding › Web dev Margin 40.18691588785047 LMArena leaderboard dataset · Oct 13, 2026 | #99 · #99 in Coding › Web dev Margin 91.58878504672897 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 | #93 · #93 in Long context Margin 63.265306122448976 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 | #84 · #84 in Factuality Margin 63.43283582089552 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.
Mistral Medium 3.5: $3 per 1M blended tokens.
GPT-5.5: closed weights.
Mistral Medium 3.5: open weights.
General LLM: As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in General LLM at #21 against #82.
Reasoning: As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in Reasoning at #25 against #86.
Coding › Web dev: As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in Coding › Web dev at #44 against #99.
Long context: As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in Long context at #23 against #93.
Factuality: As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in Factuality at #5 against #84.
GPT-5.5 or Mistral Medium 3.5?
As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in 5 of 5 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
GPT-5.5 or Mistral Medium 3.5 for General LLM?
As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in General LLM at #21 against #82.
GPT-5.5 or Mistral Medium 3.5 for Reasoning?
As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in Reasoning at #25 against #86.
GPT-5.5 or Mistral Medium 3.5 for Coding › Web dev?
As of Oct 14, 2026, GPT-5.5 leads Mistral Medium 3.5 in Coding › Web dev at #44 against #99.