Compare · 2026-10-14

Claude Fable 5.1 vs GPT-5.6 Luna

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in 9 of 9 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, Factuality, and Abstraction (ARC).

CategoryClaude Fable 5.1GPT-5.6 Luna
General LLM
#6 · Was SOTA · General LLM
Margin 4.08163265306122
LMArena leaderboard dataset · Oct 13, 2026
#53 · #53 in General LLM
Margin 36.054421768707485
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#5 · Was SOTA · Reasoning
Margin 4.109589041095887
LMArena leaderboard dataset · Oct 13, 2026
#55 · #55 in Reasoning
Margin 38.35616438356164
LMArena leaderboard dataset · Oct 13, 2026
Math
#2 · Near-SOTA · Math
Margin 2.2222222222222285
Epoch AI benchmarking hub · Sep 1, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science—
#25 · #25 in Science
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Coding
#3 · Near-SOTA · Coding
Margin 18.181818181818187
Terminal-Bench Harbor Hub · Oct 6, 2026
#16 · #16 in Coding
Margin 77.27272727272728
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#3 · Near-SOTA · Coding › Agentic
Margin 18.181818181818187
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
#5 · Near-SOTA · Coding › Web dev
Margin 3.738317757009341
LMArena leaderboard dataset · Oct 13, 2026
#43 · #43 in Coding › Web dev
Margin 39.25233644859813
LMArena leaderboard dataset · Oct 13, 2026
Long context
#6 · Was SOTA · Long context
Margin 4.08163265306122
LMArena leaderboard dataset · Oct 13, 2026
#65 · #65 in Long context
Margin 44.21768707482993
LMArena leaderboard dataset · Oct 13, 2026
Vision
#6 · #6 in Vision
Margin 18.421052631578945
Epoch AI benchmarking hub · Sep 1, 2026
#19 · #19 in Vision
Margin 52.63157894736842
Epoch AI benchmarking hub · Jul 9, 2026
Factuality
#1 · Co-SOTA · Factuality
Margin 0
LMArena leaderboard dataset · Oct 13, 2026
#35 · #35 in Factuality
Margin 26.86567164179104
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#3 · #3 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Sep 1, 2026
#19 · #19 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Jul 9, 2026
Price per 1M tokens

Claude Fable 5.1: $20 per 1M blended tokens.

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

Open weights

Claude Fable 5.1: closed weights.

GPT-5.6 Luna: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in General LLM at #6 against #53.

Reasoning: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Reasoning at #5 against #55.

Coding: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Coding at #3 against #16.

Coding › Agentic: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Coding › Agentic at #3 against #16.

Coding › Web dev: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Coding › Web dev at #5 against #43.

Long context: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Long context at #6 against #65.

Vision: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Vision at #6 against #19.

Factuality: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Factuality at #1 against #35.

Abstraction (ARC): As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Abstraction (ARC) at #3 against #19.

Claude Fable 5.1 · GPT-5.6 Luna

Claude Fable 5.1 or GPT-5.6 Luna?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in 9 of 9 shared categories: General LLM, Reasoning, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, Factuality, and Abstraction (ARC).

Claude Fable 5.1 or GPT-5.6 Luna for General LLM?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in General LLM at #6 against #53.

Claude Fable 5.1 or GPT-5.6 Luna for Reasoning?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Reasoning at #5 against #55.

Claude Fable 5.1 or GPT-5.6 Luna for Coding?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-5.6 Luna in Coding at #3 against #16.