LLM Comparison

Claude Fable 5.1 vs Claude Sonnet 5.5 (XHigh): benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5.1 vs Claude Sonnet 5.5 (XHigh) 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: Claude Fable 5.1 ranks higher (#3 vs #19) and wins 4 of 4 shared benchmarks.

Rank #3 vs #19AskClash overall scores 77.7 vs 65.5.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs AI modelAnthropic vs Anthropic.

Claude Fable 5.1 vs Claude Sonnet 5.5 (XHigh) benchmark comparison

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

MetricClaude Fable 5.1Claude Sonnet 5.5 (XHigh)
Overall Score77.765.5
Leaderboard Rank#3#19
ACB79.276.6
RWT9.0—
HLE65.050.0
GPQA93.7—
SWE-Pro81.2—
Terminal-Bench52.0—
DeepSWE67.4—
GDPval-AA1853.01727.3
Finance Agent58.9—
MMMU-Pro90.6—
ARC-AGI 290.083.9
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1M—
Benchmarks Published137

Claude Fable 5.1 vs Claude Sonnet 5.5 (XHigh) head-to-head charts

Claude Fable 5.1 leads 5 and Claude Sonnet 5.5 (XHigh) leads 0 of 5 shared benchmarks. Charts show only benchmarks both models publish.

Claude Fable 5.1Claude Sonnet 5.5 (XHigh)
Overall
77.7Claude Fable 5.1
65.5Claude Sonnet 5.5 (XHigh)
ACB
79.2Claude Fable 5.1
76.6Claude Sonnet 5.5 (XHigh)
HLE
65.0Claude Fable 5.1
50.0Claude Sonnet 5.5 (XHigh)
GDPval-AA
1853.0Claude Fable 5.1
1727.3Claude Sonnet 5.5 (XHigh)
ARC-AGI 2
90.0Claude Fable 5.1
83.9Claude Sonnet 5.5 (XHigh)
Claude Fable 5.1
Input$10.0
Output$50.0
Workload$20
Context1M
Claude Sonnet 5.5 (XHigh)
Input—
Output—
Workload—
Context—

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

More Claude Fable 5.1 and Claude Sonnet 5.5 (XHigh) comparisons

Explore how Claude Fable 5.1 and Claude Sonnet 5.5 (XHigh) 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.