Compare · 2026-10-14

Claude Sonnet 5.5 vs GPT-5.6 Luna

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in 9 of 9 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, and Factuality.

CategoryClaude Sonnet 5.5GPT-5.6 Luna
General LLM
#27 · #27 in General LLM
Margin 18.367346938775512
LMArena leaderboard dataset · Oct 13, 2026
#53 · #53 in General LLM
Margin 36.054421768707485
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#18 · #18 in Reasoning
Margin 13.013698630136986
LMArena leaderboard dataset · Oct 13, 2026
#55 · #55 in Reasoning
Margin 38.35616438356164
LMArena leaderboard dataset · Oct 13, 2026
Math
#4 · #4 in Math
Margin 6.666666666666671
Epoch AI benchmarking hub · Sep 28, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science
#3 · #3 in Science
Margin —
Epoch AI benchmarking hub · Sep 28, 2026
#25 · #25 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#1 · Co-SOTA · Coding
Margin 0
Terminal-Bench Harbor Hub · Oct 6, 2026
#16 · #16 in Coding
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#1 · Co-SOTA · Coding › Agentic
Margin 0
Terminal-Bench Harbor Hub · Oct 6, 2026
#16 · #16 in Coding › Agentic
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#3 · Near-SOTA · Coding › Web dev
Margin 1.8691588785046775
LMArena leaderboard dataset · Oct 13, 2026
#43 · #43 in Coding › Web dev
Margin 39.25233644859813
LMArena leaderboard dataset · Oct 13, 2026
Long context
#11 · #11 in Long context
Margin 7.482993197278915
LMArena leaderboard dataset · Oct 13, 2026
#65 · #65 in Long context
Margin 44.21768707482993
LMArena leaderboard dataset · Oct 13, 2026
Vision
#1 · Co-SOTA · Vision
Margin 0
Epoch AI benchmarking hub · Sep 28, 2026
#19 · #19 in Vision
Margin 52.63157894736842
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#16 · #16 in Factuality
Margin 12.68656716417911
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 Sonnet 5.5: $4.000000000000001 per 1M blended tokens.

GPT-5.6 Luna: $0.44999999999999996 per 1M blended tokens.

Open weights

Claude Sonnet 5.5: closed weights.

GPT-5.6 Luna: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in General LLM at #27 against #53.

Reasoning: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Reasoning at #18 against #55.

Science: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Science at #3 against #25.

Coding: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Coding at #1 against #16.

Coding › Agentic: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Coding › Agentic at #1 against #16.

Coding › Web dev: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Coding › Web dev at #3 against #43.

Long context: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Long context at #11 against #65.

Vision: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Vision at #1 against #19.

Factuality: As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Factuality at #16 against #35.

Claude Sonnet 5.5 · GPT-5.6 Luna

Claude Sonnet 5.5 or GPT-5.6 Luna?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in 9 of 9 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, and Factuality.

Claude Sonnet 5.5 or GPT-5.6 Luna for General LLM?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in General LLM at #27 against #53.

Claude Sonnet 5.5 or GPT-5.6 Luna for Reasoning?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Reasoning at #18 against #55.

Claude Sonnet 5.5 or GPT-5.6 Luna for Science?

As of Oct 14, 2026, Claude Sonnet 5.5 leads GPT-5.6 Luna in Science at #3 against #25.