LLM Comparison

Claude Fable 5 vs GPT-6 Astra: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs GPT-6 Astra 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.

Rank #2 vs #7AskClash overall scores 75.8 vs 64.9.
Pricing $10.0/$50.0 vs $10.0/$50.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs OpenAI.

Claude Fable 5 vs GPT-6 Astra benchmark comparison

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

MetricClaude Fable 5GPT-6 Astra
Overall Score75.864.9
Leaderboard Rank#2#7
ACB64.6
RWT9.09.5
Coding Agent Index77.267.0
HLE64.557.2
GPQA94.596.0
IFEval80.3
SWE-bench95.5
SWE-Pro80.3
SWE-Atlas83.3
Terminal-Bench88.0
DeepSWE69.774.1
GDPval-AA1932.5
OSWorld85.0
Finance Agent56.3
CharXiv93.5
MMMU-Pro92.7
ARC-AGI 295.0
Tau289.2
MRCR100.0
Input Price (per 1M tokens)$10.0$10.0
Output Price (per 1M tokens)$50.0$50.0
Context Window1M+1M
Benchmarks Published177

Claude Fable 5 vs GPT-6 Astra head-to-head charts

Claude Fable 5 leads 3 and GPT-6 Astra leads 3 of 6 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5GPT-6 Astra
Overall
75.8Claude Fable 5
64.9GPT-6 Astra
RWT
9.0Claude Fable 5
9.5GPT-6 Astra
Coding Agent Index
77.2Claude Fable 5
67.0GPT-6 Astra
HLE
64.5Claude Fable 5
57.2GPT-6 Astra
GPQA
94.5Claude Fable 5
96.0GPT-6 Astra
DeepSWE
69.7Claude Fable 5
74.1GPT-6 Astra
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1M

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

More Claude Fable 5 and GPT-6 Astra comparisons

Explore how Claude Fable 5 and GPT-6 Astra stack up against other top-ranked LLMs.

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.