Compare · 2026-10-14

Claude Fable 5.1 vs GPT-6 Luna

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-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-6 Luna
General LLM
#6 · Was SOTA · General LLM
Margin 4.08163265306122
LMArena leaderboard dataset · Oct 13, 2026
#65 · #65 in General LLM
Margin 44.21768707482993
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#5 · Was SOTA · Reasoning
Margin 4.109589041095887
LMArena leaderboard dataset · Oct 13, 2026
#61 · #61 in Reasoning
Margin 42.465753424657535
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—
#33 · #33 in Science
Margin —
Epoch AI benchmarking hub · Sep 22, 2026
Coding
#3 · Near-SOTA · Coding
Margin 18.181818181818187
Terminal-Bench Harbor Hub · Oct 6, 2026
#17 · #17 in Coding
Margin 81.81818181818181
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#3 · Near-SOTA · Coding › Agentic
Margin 18.181818181818187
Terminal-Bench Harbor Hub · Oct 6, 2026
#17 · #17 in Coding › Agentic
Margin 81.81818181818181
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
#29 · #29 in Coding › Web dev
Margin 26.168224299065415
LMArena leaderboard dataset · Oct 13, 2026
Long context
#6 · Was SOTA · Long context
Margin 4.08163265306122
LMArena leaderboard dataset · Oct 13, 2026
#61 · #61 in Long context
Margin 41.49659863945578
LMArena leaderboard dataset · Oct 13, 2026
Vision
#6 · #6 in Vision
Margin 18.421052631578945
Epoch AI benchmarking hub · Sep 1, 2026
#17 · #17 in Vision
Margin 47.36842105263158
Epoch AI benchmarking hub · Sep 22, 2026
Factuality
#1 · Co-SOTA · Factuality
Margin 0
LMArena leaderboard dataset · Oct 13, 2026
#39 · #39 in Factuality
Margin 29.85074626865672
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#3 · #3 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Sep 1, 2026
#22 · #22 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Sep 22, 2026
Price per 1M tokens

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

GPT-6 Luna: $0.19999999999999998 per 1M blended tokens.

Open weights

Claude Fable 5.1: closed weights.

GPT-6 Luna: closed weights.

Which to pick

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

Reasoning: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Reasoning at #5 against #61.

Coding: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Coding at #3 against #17.

Coding › Agentic: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Coding › Agentic at #3 against #17.

Coding › Web dev: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Coding › Web dev at #5 against #29.

Long context: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Long context at #6 against #61.

Vision: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Vision at #6 against #17.

Factuality: As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Factuality at #1 against #39.

Abstraction (ARC): As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Abstraction (ARC) at #3 against #22.

Claude Fable 5.1 · GPT-6 Luna

Claude Fable 5.1 or GPT-6 Luna?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-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-6 Luna for General LLM?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in General LLM at #6 against #65.

Claude Fable 5.1 or GPT-6 Luna for Reasoning?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Reasoning at #5 against #61.

Claude Fable 5.1 or GPT-6 Luna for Coding?

As of Oct 14, 2026, Claude Fable 5.1 leads GPT-6 Luna in Coding at #3 against #17.