GPT-5 vs GPT-5.6 Sol
As of Oct 14, 2026, GPT-5 leads GPT-5.6 Sol in 0 of 7 shared categories.
| Category | GPT-5 | GPT-5.6 Sol |
|---|---|---|
| General LLM | #76 · Was SOTA · General LLM Margin 51.70068027210884 LMArena leaderboard dataset · Oct 13, 2026 | #17 · #17 in General LLM Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #78 · Was SOTA · Reasoning Margin 54.10958904109589 LMArena leaderboard dataset · Oct 13, 2026 | #12 · #12 in Reasoning Margin 8.904109589041099 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 | #13 · #13 in Science Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
| Coding | #— · Not enough data Margin — Epoch AI benchmarking hub · Aug 7, 2025 | #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 | #66 · #66 in Coding › Web dev Margin 60.74766355140187 LMArena leaderboard dataset · Oct 13, 2026 | #21 · Was SOTA · Coding › Web dev Margin 18.691588785046733 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #107 · Was SOTA · Long context Margin 72.78911564625851 LMArena leaderboard dataset · Oct 13, 2026 | #13 · #13 in Long context Margin 8.84353741496598 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 | #3 · Near-SOTA · Vision Margin 10.526315789473685 Epoch AI benchmarking hub · Jul 9, 2026 |
| Factuality | #93 · #93 in Factuality Margin 70.14925373134328 LMArena leaderboard dataset · Oct 13, 2026 | #14 · #14 in Factuality Margin 11.194029850746276 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #34 · #34 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Aug 7, 2025 | #3 · #3 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
GPT-5: $3.4375000000000004 per 1M blended tokens.
GPT-5.6 Sol: $4.000000000000001 per 1M blended tokens.
GPT-5: closed weights.
GPT-5.6 Sol: closed weights.
General LLM: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in General LLM at #17 against #76.
Reasoning: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Reasoning at #12 against #78.
Science: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Science at #13 against #54.
Coding › Web dev: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Coding › Web dev at #21 against #66.
Long context: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Long context at #13 against #107.
Factuality: As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Factuality at #14 against #93.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Abstraction (ARC) at #3 against #34.
GPT-5 or GPT-5.6 Sol?
As of Oct 14, 2026, GPT-5 leads GPT-5.6 Sol in 0 of 7 shared categories.
GPT-5 or GPT-5.6 Sol for General LLM?
As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in General LLM at #17 against #76.
GPT-5 or GPT-5.6 Sol for Reasoning?
As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Reasoning at #12 against #78.
GPT-5 or GPT-5.6 Sol for Science?
As of Oct 14, 2026, GPT-5.6 Sol leads GPT-5 in Science at #13 against #54.