GPT-5.6 Sol vs O3
As of Oct 14, 2026, GPT-5.6 Sol leads O3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).
| Category | GPT-5.6 Sol | O3 |
|---|---|---|
| General LLM | #17 · #17 in General LLM Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 | #78 · Was SOTA · General LLM Margin 53.06122448979592 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #12 · #12 in Reasoning Margin 8.904109589041099 LMArena leaderboard dataset · Oct 13, 2026 | #90 · Was SOTA · Reasoning Margin 62.32876712328767 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 | #13 · #13 in Science Margin — Epoch AI benchmarking hub · Jul 9, 2026 | #67 · #67 in Science Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
| Coding | #9 · #9 in Coding Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
| Coding › Agentic | #9 · #9 in Coding › Agentic Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #21 · Was SOTA · Coding › Web dev Margin 18.691588785046733 LMArena leaderboard dataset · Oct 13, 2026 | — |
| Long context | #13 · #13 in Long context Margin 8.84353741496598 LMArena leaderboard dataset · Oct 13, 2026 | #110 · Was SOTA · Long context Margin 74.82993197278913 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #3 · Near-SOTA · Vision Margin 10.526315789473685 Epoch AI benchmarking hub · Jul 9, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #14 · #14 in Factuality Margin 11.194029850746276 LMArena leaderboard dataset · Oct 13, 2026 | #105 · #105 in Factuality Margin 79.1044776119403 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #3 · #3 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 | #37 · #37 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
GPT-5.6 Sol: $8.000000000000002 per 1M blended tokens.
O3: $3.5 per 1M blended tokens.
GPT-5.6 Sol: closed weights.
O3: closed weights.
General LLM: As of Oct 14, 2026, GPT-5.6 Sol leads O3 in General LLM at #17 against #78.
Reasoning: As of Oct 14, 2026, GPT-5.6 Sol leads O3 in Reasoning at #12 against #90.
Science: As of Oct 14, 2026, GPT-5.6 Sol leads O3 in Science at #13 against #67.
Long context: As of Oct 14, 2026, GPT-5.6 Sol leads O3 in Long context at #13 against #110.
Factuality: As of Oct 14, 2026, GPT-5.6 Sol leads O3 in Factuality at #14 against #105.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.6 Sol leads O3 in Abstraction (ARC) at #3 against #37.
GPT-5.6 Sol or O3?
As of Oct 14, 2026, GPT-5.6 Sol leads O3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).
GPT-5.6 Sol or O3 for General LLM?
As of Oct 14, 2026, GPT-5.6 Sol leads O3 in General LLM at #17 against #78.
GPT-5.6 Sol or O3 for Reasoning?
As of Oct 14, 2026, GPT-5.6 Sol leads O3 in Reasoning at #12 against #90.
GPT-5.6 Sol or O3 for Science?
As of Oct 14, 2026, GPT-5.6 Sol leads O3 in Science at #13 against #67.