How do Claude Fable 5.1 and GPT-5.6 Terra 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 Terra when publicly disclosed.

LLM Comparison

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

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

AskClash compares Claude Fable 5.1 and GPT-5.6 Terra 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 Terra 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 Terra model page

Rank #1 vs #13AskClash overall scores 92.0 vs 65.7.

Pricing $10.0/$50.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Fable 5.1 vs GPT-5.6 Terra 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 Terra
Overall Score	92.0	65.7
Leaderboard Rank	#1	#13
ACB	79.2	56.4
RWT	9.0	8.5
Coding Agent Index	—	77.0
HLE	65.0	—
GPQA	93.7	92.9
SWE-Pro	81.2	63.4
SWE-Atlas	—	81.0
Terminal-Bench	91.4	87.4
DeepSWE	67.4	69.6
GDPval-AA	1853.0	1593.0
Finance Agent	58.9	54.4
MMMU-Pro	90.6	80.7
ARC-AGI 2	90.0	83.9
Tau2	—	86.3
MRCR	—	89.6
Input Price (per 1M tokens)	$10.0	$2.50
Output Price (per 1M tokens)	$50.0	$15.0
Context Window	1M	1M
Benchmarks Published	11	14

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

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

Claude Fable 5.1GPT-5.6 Terra

Overall

92.0Claude Fable 5.1

65.7GPT-5.6 Terra

ACB

79.2Claude Fable 5.1

56.4GPT-5.6 Terra

RWT

9.0Claude Fable 5.1

8.5GPT-5.6 Terra

GPQA

93.7Claude Fable 5.1

92.9GPT-5.6 Terra

SWE-Pro

81.2Claude Fable 5.1

63.4GPT-5.6 Terra

Terminal-Bench

91.4Claude Fable 5.1

87.4GPT-5.6 Terra

DeepSWE

67.4Claude Fable 5.1

69.6GPT-5.6 Terra

GDPval-AA

1853.0Claude Fable 5.1

1593.0GPT-5.6 Terra

Finance Agent

58.9Claude Fable 5.1

54.4GPT-5.6 Terra

MMMU-Pro

90.6Claude Fable 5.1

80.7GPT-5.6 Terra

ARC-AGI 2

90.0Claude Fable 5.1

83.9GPT-5.6 Terra

Claude Fable 5.1

Input$10.0

Output$50.0

Workload$20

Context1M

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

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 Terra comparisons

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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.