Claude Opus 4.6 vs GPT-6.1 Sol
As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in 4 of 6 shared categories: General LLM, Reasoning, Long context, and Factuality.
| Category | Claude Opus 4.6 | GPT-6.1 Sol |
|---|---|---|
| General LLM | #4 · Near-SOTA · General LLM Margin 2.7210884353741562 LMArena leaderboard dataset · Oct 13, 2026 | #18 · #18 in General LLM Margin 12.244897959183675 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #2 · Near-SOTA · Reasoning Margin 2.0547945205479436 LMArena leaderboard dataset · Oct 13, 2026 | #15 · #15 in Reasoning Margin 10.958904109589042 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #11 · #11 in Math Margin 22.22222222222223 Epoch AI benchmarking hub · Feb 5, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #32 · #32 in Science Margin — Epoch AI benchmarking hub · Feb 5, 2026 | #4 · #4 in Science Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
| Coding | #— · Not enough data Margin — Epoch AI benchmarking hub · Feb 5, 2026 | #2 · Near-SOTA · Coding Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #2 · Near-SOTA · Coding › Agentic Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #35 · Was SOTA · Coding › Web dev Margin 31.775700934579433 LMArena leaderboard dataset · Oct 13, 2026 | #4 · Near-SOTA · Coding › Web dev Margin 2.803738317757009 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #2 · Near-SOTA · Long context Margin 0.6802721088435391 LMArena leaderboard dataset · Oct 13, 2026 | #17 · #17 in Long context Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 29, 2026 |
| Factuality | #3 · Near-SOTA · Factuality Margin 2.9850746268656536 LMArena leaderboard dataset · Oct 13, 2026 | #29 · #29 in Factuality Margin 22.388059701492537 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | — | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 29, 2026 |
Claude Opus 4.6: $10 per 1M blended tokens.
GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.
Claude Opus 4.6: closed weights.
GPT-6.1 Sol: closed weights.
General LLM: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in General LLM at #4 against #18.
Reasoning: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in Reasoning at #2 against #15.
Science: As of Oct 14, 2026, GPT-6.1 Sol leads Claude Opus 4.6 in Science at #4 against #32.
Coding › Web dev: As of Oct 14, 2026, GPT-6.1 Sol leads Claude Opus 4.6 in Coding › Web dev at #4 against #35.
Long context: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in Long context at #2 against #17.
Factuality: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in Factuality at #3 against #29.
Claude Opus 4.6 or GPT-6.1 Sol?
As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in 4 of 6 shared categories: General LLM, Reasoning, Long context, and Factuality.
Claude Opus 4.6 or GPT-6.1 Sol for General LLM?
As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in General LLM at #4 against #18.
Claude Opus 4.6 or GPT-6.1 Sol for Reasoning?
As of Oct 14, 2026, Claude Opus 4.6 leads GPT-6.1 Sol in Reasoning at #2 against #15.
Claude Opus 4.6 or GPT-6.1 Sol for Science?
As of Oct 14, 2026, GPT-6.1 Sol leads Claude Opus 4.6 in Science at #4 against #32.