LLM Comparison

Claude Opus 5.5 vs Claude Fable 5.1 (Max): benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5.5 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: Claude Opus 5.5 ranks higher (#1 vs #10) and wins 2 of 3 shared benchmarks.

Rank #1 vs #10AskClash overall scores 79.1 vs 70.0.
Pricing $4.00/$20.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs AI modelAnthropic vs Anthropic.

Claude Opus 5.5 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.

MetricClaude Opus 5.5Claude Fable 5.1 (Max)
Overall Score79.170.0
Leaderboard Rank#1#10
ACB76.579.2
RWT—9.0
HLE67.759.1
GPQA—93.7
SWE-Pro89.9—
Terminal-Bench59.6—
DeepSWE74.2—
GDPval-AA1846.21754.1
Finance Agent58.6—
MMMU-Pro87.7—
ARC-AGI 2—90.0
Input Price (per 1M tokens)$4.00—
Output Price (per 1M tokens)$20.0—
Context Window1M—
Benchmarks Published118

Claude Opus 5.5 vs Claude Fable 5.1 (Max) head-to-head charts

Claude Opus 5.5 leads 3 and Claude Fable 5.1 (Max) leads 1 of 4 shared benchmarks. Charts show only benchmarks both models publish.

Claude Opus 5.5Claude Fable 5.1 (Max)
Overall
79.1Claude Opus 5.5
70.0Claude Fable 5.1 (Max)
ACB
76.5Claude Opus 5.5
79.2Claude Fable 5.1 (Max)
HLE
67.7Claude Opus 5.5
59.1Claude Fable 5.1 (Max)
GDPval-AA
1846.2Claude Opus 5.5
1754.1Claude Fable 5.1 (Max)
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
Context1M
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 Claude Opus 5.5 and Claude Fable 5.1 (Max) comparisons

Explore how Claude Opus 5.5 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.