Compare · 2026-10-14

Claude Opus 4.6 vs GPT-5.6 Sol

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in 4 of 6 shared categories: General LLM, Reasoning, Long context, and Factuality.

CategoryClaude Opus 4.6GPT-5.6 Sol
General LLM
#4 · Near-SOTA · General LLM
Margin 2.7210884353741562
LMArena leaderboard dataset · Oct 13, 2026
#17 · #17 in General LLM
Margin 11.564625850340136
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#2 · Near-SOTA · Reasoning
Margin 2.0547945205479436
LMArena leaderboard dataset · Oct 13, 2026
#12 · #12 in Reasoning
Margin 8.904109589041099
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
#13 · #13 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#— · Not enough data
Margin —
Epoch AI benchmarking hub · Feb 5, 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
#35 · Was SOTA · Coding › Web dev
Margin 31.775700934579433
LMArena leaderboard dataset · Oct 13, 2026
#21 · Was SOTA · Coding › Web dev
Margin 18.691588785046733
LMArena leaderboard dataset · Oct 13, 2026
Long context
#2 · Near-SOTA · Long context
Margin 0.6802721088435391
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
#3 · Near-SOTA · Factuality
Margin 2.9850746268656536
LMArena leaderboard dataset · Oct 13, 2026
#14 · #14 in Factuality
Margin 11.194029850746276
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)—
#3 · #3 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Price per 1M tokens

Claude Opus 4.6: $10 per 1M blended tokens.

GPT-5.6 Sol: $8.000000000000002 per 1M blended tokens.

Open weights

Claude Opus 4.6: closed weights.

GPT-5.6 Sol: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in General LLM at #4 against #17.

Reasoning: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in Reasoning at #2 against #12.

Science: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Opus 4.6 in Science at #13 against #32.

Coding › Web dev: As of Oct 14, 2026, GPT-5.6 Sol leads Claude Opus 4.6 in Coding › Web dev at #21 against #35.

Long context: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in Long context at #2 against #13.

Factuality: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in Factuality at #3 against #14.

Claude Opus 4.6 · GPT-5.6 Sol

Claude Opus 4.6 or GPT-5.6 Sol?

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in 4 of 6 shared categories: General LLM, Reasoning, Long context, and Factuality.

Claude Opus 4.6 or GPT-5.6 Sol for General LLM?

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in General LLM at #4 against #17.

Claude Opus 4.6 or GPT-5.6 Sol for Reasoning?

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Sol in Reasoning at #2 against #12.

Claude Opus 4.6 or GPT-5.6 Sol for Science?

As of Oct 14, 2026, GPT-5.6 Sol leads Claude Opus 4.6 in Science at #13 against #32.