GPT-5.5 vs GPT-5.6 Sol
As of Oct 14, 2026, GPT-5.5 leads GPT-5.6 Sol in 1 of 8 shared categories: Factuality.
| Category | GPT-5.5 | GPT-5.6 Sol |
|---|---|---|
| General LLM | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 | #17 · #17 in General LLM Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #25 · #25 in Reasoning Margin 17.808219178082197 LMArena leaderboard dataset · Oct 13, 2026 | #12 · #12 in Reasoning Margin 8.904109589041099 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 | #13 · #13 in Science Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #9 · #9 in Coding Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #9 · #9 in Coding › Agentic Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #44 · #44 in Coding › Web dev Margin 40.18691588785047 LMArena leaderboard dataset · Oct 13, 2026 | #21 · Was SOTA · Coding › Web dev Margin 18.691588785046733 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 | #13 · #13 in Long context Margin 8.84353741496598 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 | #3 · Near-SOTA · Vision Margin 10.526315789473685 Epoch AI benchmarking hub · Jul 9, 2026 |
| Factuality | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 | #14 · #14 in Factuality Margin 11.194029850746276 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 | #3 · #3 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
GPT-5.5: $11.25 per 1M blended tokens.
GPT-5.6 Sol: $4.000000000000001 per 1M blended tokens.
GPT-5.5: closed weights.
GPT-5.6 Sol: closed weights.
General LLM: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in General LLM at #17 against #21.
Reasoning: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Reasoning at #12 against #25.
Science: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Science at #13 against #30.
Coding › Web dev: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Coding › Web dev at #21 against #44.
Long context: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Long context at #13 against #23.
Vision: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Vision at #3 against #10.
Factuality: As of Oct 14, 2026, GPT-5.5 leads GPT-5.6 Sol in Factuality at #5 against #14.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Abstraction (ARC) at #3 against #7.
GPT-5.5 or GPT-5.6 Sol?
As of Oct 14, 2026, GPT-5.5 leads GPT-5.6 Sol in 1 of 8 shared categories: Factuality.
GPT-5.5 or GPT-5.6 Sol for General LLM?
As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in General LLM at #17 against #21.
GPT-5.5 or GPT-5.6 Sol for Reasoning?
As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Reasoning at #12 against #25.
GPT-5.5 or GPT-5.6 Sol for Science?
As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5.5 in Science at #13 against #30.