Compare · 2026-10-14

Claude Opus 4.6 vs GPT-5.6 Luna

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in 5 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.

CategoryClaude Opus 4.6GPT-5.6 Luna
General LLM
#4 · Near-SOTA · General LLM
Margin 2.7210884353741562
LMArena leaderboard dataset · Oct 13, 2026
#53 · #53 in General LLM
Margin 36.054421768707485
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#2 · Near-SOTA · Reasoning
Margin 2.0547945205479436
LMArena leaderboard dataset · Oct 13, 2026
#55 · #55 in Reasoning
Margin 38.35616438356164
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
#25 · #25 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#— · Not enough data
Margin —
Epoch AI benchmarking hub · Feb 5, 2026
#16 · #16 in Coding
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic—
#16 · #16 in Coding › Agentic
Margin 77.27272727272728
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
#43 · #43 in Coding › Web dev
Margin 39.25233644859813
LMArena leaderboard dataset · Oct 13, 2026
Long context
#2 · Near-SOTA · Long context
Margin 0.6802721088435391
LMArena leaderboard dataset · Oct 13, 2026
#65 · #65 in Long context
Margin 44.21768707482993
LMArena leaderboard dataset · Oct 13, 2026
Vision
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 9, 2026
#19 · #19 in Vision
Margin 52.63157894736842
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#3 · Near-SOTA · Factuality
Margin 2.9850746268656536
LMArena leaderboard dataset · Oct 13, 2026
#35 · #35 in Factuality
Margin 26.86567164179104
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)—
#19 · #19 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 Luna: $0.44999999999999996 per 1M blended tokens.

Open weights

Claude Opus 4.6: closed weights.

GPT-5.6 Luna: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in General LLM at #4 against #53.

Reasoning: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in Reasoning at #2 against #55.

Science: As of Oct 14, 2026, GPT-5.6 Luna leads Claude Opus 4.6 in Science at #25 against #32.

Coding › Web dev: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in Coding › Web dev at #35 against #43.

Long context: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in Long context at #2 against #65.

Factuality: As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in Factuality at #3 against #35.

Claude Opus 4.6 · GPT-5.6 Luna

Claude Opus 4.6 or GPT-5.6 Luna?

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in 5 of 6 shared categories: General LLM, Reasoning, Coding › Web dev, Long context, and Factuality.

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

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in General LLM at #4 against #53.

Claude Opus 4.6 or GPT-5.6 Luna for Reasoning?

As of Oct 14, 2026, Claude Opus 4.6 leads GPT-5.6 Luna in Reasoning at #2 against #55.

Claude Opus 4.6 or GPT-5.6 Luna for Science?

As of Oct 14, 2026, GPT-5.6 Luna leads Claude Opus 4.6 in Science at #25 against #32.