LLM Comparison

GPT-6 Astra vs Claude Fable 5.1 (Max): benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Claude Fable 5.1 (Max) 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.

Verdict: GPT-6 Astra ranks higher (#8 vs #10).

Rank #8 vs #10AskClash overall scores 70.9 vs 70.0.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs AI modelOpenAI vs Anthropic.

GPT-6 Astra vs Claude Fable 5.1 (Max) benchmark comparison

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

MetricGPT-6 AstraClaude Fable 5.1 (Max)
Overall Score70.970.0
Leaderboard Rank#8#10
ACB64.579.2
RWT9.59.0
Coding Agent Index67.0—
HLE57.259.1
GPQA96.093.7
Terminal-Bench59.1—
DeepSWE73.2—
GDPval-AA1629.31754.1
Finance Agent53.5—
MMMU-Pro87.0—
ARC-AGI 295.090.0
MRCR100.0—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1.05M—
Benchmarks Published138

GPT-6 Astra vs Claude Fable 5.1 (Max) head-to-head charts

GPT-6 Astra leads 4 and Claude Fable 5.1 (Max) leads 3 of 7 shared benchmarks. Charts show only benchmarks both models publish.

GPT-6 AstraClaude Fable 5.1 (Max)
Overall
70.9GPT-6 Astra
70.0Claude Fable 5.1 (Max)
ACB
64.5GPT-6 Astra
79.2Claude Fable 5.1 (Max)
RWT
9.5GPT-6 Astra
9.0Claude Fable 5.1 (Max)
HLE
57.2GPT-6 Astra
59.1Claude Fable 5.1 (Max)
GPQA
96.0GPT-6 Astra
93.7Claude Fable 5.1 (Max)
GDPval-AA
1629.3GPT-6 Astra
1754.1Claude Fable 5.1 (Max)
ARC-AGI 2
95.0GPT-6 Astra
90.0Claude Fable 5.1 (Max)
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
Claude Fable 5.1 (Max)
Input—
Output—
Workload—
Context—

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

More GPT-6 Astra and Claude Fable 5.1 (Max) comparisons

Explore how GPT-6 Astra and Claude Fable 5.1 (Max) 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.