GPT-5 vs GPT-5.5
As of Oct 14, 2026, GPT-5 leads GPT-5.5 in 0 of 7 shared categories.
| Category | GPT-5 | GPT-5.5 |
|---|---|---|
| General LLM | #76 · Was SOTA · General LLM Margin 51.70068027210884 LMArena leaderboard dataset · Oct 13, 2026 | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #78 · Was SOTA · Reasoning Margin 54.10958904109589 LMArena leaderboard dataset · Oct 13, 2026 | #25 · #25 in Reasoning Margin 17.808219178082197 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #15 · Was SOTA · Math Margin 31.111111111111114 Epoch AI benchmarking hub · Aug 7, 2025 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #54 · #54 in Science Margin — Epoch AI benchmarking hub · Aug 7, 2025 | #30 · #30 in Science Margin — Epoch AI benchmarking hub · Apr 23, 2026 |
| Coding | #— · Not enough data Margin — Epoch AI benchmarking hub · Aug 7, 2025 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #66 · #66 in Coding › Web dev Margin 60.74766355140187 LMArena leaderboard dataset · Oct 13, 2026 | #44 · #44 in Coding › Web dev Margin 40.18691588785047 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #107 · Was SOTA · Long context Margin 72.78911564625851 LMArena leaderboard dataset · Oct 13, 2026 | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 |
| Factuality | #93 · #93 in Factuality Margin 70.14925373134328 LMArena leaderboard dataset · Oct 13, 2026 | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #34 · #34 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Aug 7, 2025 | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 |
GPT-5: $3.4375000000000004 per 1M blended tokens.
GPT-5.5: $11.25 per 1M blended tokens.
GPT-5: closed weights.
GPT-5.5: closed weights.
General LLM: As of Oct 14, 2026, GPT-5.5 leads GPT-5 in General LLM at #21 against #76.
Reasoning: As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Reasoning at #25 against #78.
Science: As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Science at #30 against #54.
Coding › Web dev: As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Coding › Web dev at #44 against #66.
Long context: As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Long context at #23 against #107.
Factuality: As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Factuality at #5 against #93.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Abstraction (ARC) at #7 against #34.
GPT-5 or GPT-5.5?
As of Oct 14, 2026, GPT-5 leads GPT-5.5 in 0 of 7 shared categories.
GPT-5 or GPT-5.5 for General LLM?
As of Oct 14, 2026, GPT-5.5 leads GPT-5 in General LLM at #21 against #76.
GPT-5 or GPT-5.5 for Reasoning?
As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Reasoning at #25 against #78.
GPT-5 or GPT-5.5 for Science?
As of Oct 14, 2026, GPT-5.5 leads GPT-5 in Science at #30 against #54.