GPT-5.5 vs O3
As of Oct 15, 2026, GPT-5.5 leads O3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).
| Category | GPT-5.5 | O3 |
|---|---|---|
| General LLM | #22 · Was SOTA · General LLM Margin 11.702127659574472 LMArena leaderboard dataset · Oct 13, 2026 | #100 · Was SOTA · General LLM Margin 53.191489361702125 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #26 · #26 in Reasoning Margin 14.36170212765957 LMArena leaderboard dataset · Oct 13, 2026 | #117 · Was SOTA · Reasoning Margin 62.765957446808514 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #20 · Was SOTA · Math Margin 42.22222222222222 Epoch AI benchmarking hub · Apr 16, 2025 |
| Science | #30 · #30 in Science Margin — Epoch AI benchmarking hub · Apr 23, 2026 | #67 · #67 in Science Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #48 · #48 in Coding › Web dev Margin 37.6 LMArena leaderboard dataset · Oct 13, 2026 | — |
| Long context | #26 · Was SOTA · Long context Margin 13.829787234042556 LMArena leaderboard dataset · Oct 13, 2026 | #145 · Was SOTA · Long context Margin 77.12765957446808 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 · Near-SOTA · Factuality Margin 3.4883720930232442 LMArena leaderboard dataset · Oct 13, 2026 | #139 · #139 in Factuality Margin 81.3953488372093 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 | #37 · #37 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
GPT-5.5: $11.25 per 1M blended tokens.
O3: $3.5 per 1M blended tokens.
GPT-5.5: closed weights.
O3: closed weights.
General LLM: As of Oct 15, 2026, GPT-5.5 leads O3 in General LLM at #22 against #100.
Reasoning: As of Oct 15, 2026, GPT-5.5 leads O3 in Reasoning at #26 against #117.
Science: As of Oct 15, 2026, GPT-5.5 leads O3 in Science at #30 against #67.
Long context: As of Oct 15, 2026, GPT-5.5 leads O3 in Long context at #26 against #145.
Factuality: As of Oct 15, 2026, GPT-5.5 leads O3 in Factuality at #5 against #139.
Abstraction (ARC): As of Oct 15, 2026, GPT-5.5 leads O3 in Abstraction (ARC) at #7 against #37.
GPT-5.5 or O3?
As of Oct 15, 2026, GPT-5.5 leads O3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).
GPT-5.5 or O3 for General LLM?
As of Oct 15, 2026, GPT-5.5 leads O3 in General LLM at #22 against #100.
GPT-5.5 or O3 for Reasoning?
As of Oct 15, 2026, GPT-5.5 leads O3 in Reasoning at #26 against #117.
GPT-5.5 or O3 for Science?
As of Oct 15, 2026, GPT-5.5 leads O3 in Science at #30 against #67.