How do Claude Fable 5.1 and GPT-5.6 Luna compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Claude Fable 5.1 and GPT-5.6 Luna when publicly disclosed.

LLM Comparison

Claude Fable 5.1 vs GPT-5.6 Luna: benchmark scores, pricing & comparison.

Q: Which is better: Claude Fable 5.1 or GPT-5.6 Luna?

AskClash compares Claude Fable 5.1 and GPT-5.6 Luna side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side Claude Fable 5.1 vs GPT-5.6 Luna comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboard Claude Fable 5.1 model page GPT-5.6 Luna model page

Rank #1 vs #17AskClash overall scores 92.0 vs 59.1.

Pricing $10.0/$50.0 vs $1.00/$6.00Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Fable 5.1 vs GPT-5.6 Luna benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	Claude Fable 5.1	GPT-5.6 Luna
Overall Score	92.0	59.1
Leaderboard Rank	#1	#17
ACB	79.2	56.1
RWT	9.0	9.5
Coding Agent Index	—	75.0
HLE	65.0	—
GPQA	93.7	92.3
SWE-Pro	81.2	62.7
SWE-Atlas	—	81.0
Terminal-Bench	91.4	84.7
DeepSWE	67.4	67.2
GDPval-AA	1853.0	1592.0
Finance Agent	58.9	55.0
MMMU-Pro	90.6	78.4
ARC-AGI 2	90.0	59.5
MRCR	—	41.3
Input Price (per 1M tokens)	$10.0	$1.00
Output Price (per 1M tokens)	$50.0	$6.00
Context Window	1M	1M
Benchmarks Published	11	13

Claude Fable 5.1 vs GPT-5.6 Luna head-to-head charts

Claude Fable 5.1 leads 10 and GPT-5.6 Luna leads 1 of 11 shared benchmarks. GPT-5.6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5.1GPT-5.6 Luna

Overall

92.0Claude Fable 5.1

59.1GPT-5.6 Luna

ACB

79.2Claude Fable 5.1

56.1GPT-5.6 Luna

RWT

9.0Claude Fable 5.1

9.5GPT-5.6 Luna

GPQA

93.7Claude Fable 5.1

92.3GPT-5.6 Luna

SWE-Pro

81.2Claude Fable 5.1

62.7GPT-5.6 Luna

Terminal-Bench

91.4Claude Fable 5.1

84.7GPT-5.6 Luna

DeepSWE

67.4Claude Fable 5.1

67.2GPT-5.6 Luna

GDPval-AA

1853.0Claude Fable 5.1

1592.0GPT-5.6 Luna

Finance Agent

58.9Claude Fable 5.1

55.0GPT-5.6 Luna

MMMU-Pro

90.6Claude Fable 5.1

78.4GPT-5.6 Luna

ARC-AGI 2

90.0Claude Fable 5.1

59.5GPT-5.6 Luna

Claude Fable 5.1

Input$10.0

Output$50.0

Workload$20

Context1M

GPT-5.6 Luna

Input$1.00

Output$6.00

Workload$2.20

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Fable 5.1 and GPT-5.6 Luna comparisons

Explore how Claude Fable 5.1 and GPT-5.6 Luna stack up against other top-ranked LLMs.

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How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.