Claude Opus 4.6 vs GPT-5.5
As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in 5 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
Claude Opus 4.6
Close. Near-SOTA in Reasoning, rank #2.
GPT-5.5
Close. Near-SOTA in Factuality, rank #5.
| Category | Claude Opus 4.6 | GPT-5.5 |
|---|---|---|
| General LLM | #4 · Near-SOTA · General LLM Margin 2.1276595744680833 LMArena leaderboard dataset · Oct 13, 2026 | #22 · Was SOTA · General LLM Margin 11.702127659574472 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #2 · Near-SOTA · Reasoning Margin 1.5957446808510696 LMArena leaderboard dataset · Oct 13, 2026 | #26 · #26 in Reasoning Margin 14.36170212765957 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 | #30 · #30 in Science Margin — Epoch AI benchmarking hub · Apr 23, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #37 · Was SOTA · Coding › Web dev Margin 28.799999999999997 LMArena leaderboard dataset · Oct 13, 2026 | #48 · #48 in Coding › Web dev Margin 37.6 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #2 · Near-SOTA · Long context Margin 0.5319148936170421 LMArena leaderboard dataset · Oct 13, 2026 | #26 · Was SOTA · Long context Margin 13.829787234042556 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 |
| Factuality | #3 · Near-SOTA · Factuality Margin 2.3255813953488342 LMArena leaderboard dataset · Oct 13, 2026 | #5 · Near-SOTA · Factuality Margin 3.4883720930232442 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | — | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 |
Claude Opus 4.6: $10 per 1M blended tokens.
GPT-5.5: $11.25 per 1M blended tokens.
Claude Opus 4.6: closed weights.
GPT-5.5: closed weights.
General LLM: As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in General LLM at #4 against #22.
Reasoning: As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in Reasoning at #2 against #26.
Science: As of Oct 15, 2026, GPT-5.5 leads Claude Opus 4.6 in Science at #30 against #32.
Coding › Web dev: As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in Coding › Web dev at #37 against #48.
Long context: As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in Long context at #2 against #26.
Factuality: As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in Factuality at #3 against #5.
Claude Opus 4.6 or GPT-5.5?
As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in 5 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.
Claude Opus 4.6 or GPT-5.5 for General LLM?
As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in General LLM at #4 against #22.
Claude Opus 4.6 or GPT-5.5 for Reasoning?
As of Oct 15, 2026, Claude Opus 4.6 leads GPT-5.5 in Reasoning at #2 against #26.
Claude Opus 4.6 or GPT-5.5 for Science?
As of Oct 15, 2026, GPT-5.5 leads Claude Opus 4.6 in Science at #30 against #32.