GPT-6.1 Sol vs O3
As of Oct 14, 2026, GPT-6.1 Sol leads O3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).
| Category | GPT-6.1 Sol | O3 |
|---|---|---|
| General LLM | #18 · #18 in General LLM Margin 12.244897959183675 LMArena leaderboard dataset · Oct 13, 2026 | #78 · Was SOTA · General LLM Margin 53.06122448979592 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #15 · #15 in Reasoning Margin 10.958904109589042 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 | #4 · #4 in Science Margin — Epoch AI benchmarking hub · Sep 29, 2026 | #67 · #67 in Science Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
| Coding | #2 · Near-SOTA · Coding Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 | #— · Not enough data Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
| Coding › Agentic | #2 · Near-SOTA · Coding › Agentic Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 | — |
| Coding › Web dev | #4 · Near-SOTA · Coding › Web dev Margin 2.803738317757009 LMArena leaderboard dataset · Oct 13, 2026 | — |
| Long context | #17 · #17 in Long context Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 | #110 · Was SOTA · Long context Margin 74.82993197278913 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #29 · #29 in Factuality Margin 22.388059701492537 LMArena leaderboard dataset · Oct 13, 2026 | #105 · #105 in Factuality Margin 79.1044776119403 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 | #37 · #37 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 16, 2025 |
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
O3: $3.5 per 1M blended tokens.
GPT-6.1 Sol: closed weights.
O3: closed weights.
General LLM: As of Oct 14, 2026, GPT-6.1 Sol leads O3 in General LLM at #18 against #78.
Reasoning: As of Oct 14, 2026, GPT-6.1 Sol leads O3 in Reasoning at #15 against #90.
Science: As of Oct 14, 2026, GPT-6.1 Sol leads O3 in Science at #4 against #67.
Long context: As of Oct 14, 2026, GPT-6.1 Sol leads O3 in Long context at #17 against #110.
Factuality: As of Oct 14, 2026, GPT-6.1 Sol leads O3 in Factuality at #29 against #105.
Abstraction (ARC): As of Oct 14, 2026, GPT-6.1 Sol leads O3 in Abstraction (ARC) at #1 against #37.
GPT-6.1 Sol or O3?
As of Oct 14, 2026, GPT-6.1 Sol leads O3 in 6 of 6 shared categories: General LLM, Reasoning, Science, Long context, Factuality, and Abstraction (ARC).
GPT-6.1 Sol or O3 for General LLM?
As of Oct 14, 2026, GPT-6.1 Sol leads O3 in General LLM at #18 against #78.
GPT-6.1 Sol or O3 for Reasoning?
As of Oct 14, 2026, GPT-6.1 Sol leads O3 in Reasoning at #15 against #90.
GPT-6.1 Sol or O3 for Science?
As of Oct 14, 2026, GPT-6.1 Sol leads O3 in Science at #4 against #67.