LLM Comparison

Claude Opus 5 vs Claude Fable 5: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5 vs Claude Fable 5 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 #1 vs #2AskClash overall scores 94.2 vs 93.2.
Pricing $5.00/$25.0 vs $10.0/$50.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Anthropic.

Claude Opus 5 vs Claude Fable 5 benchmark comparison

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

MetricClaude Opus 5Claude Fable 5
Overall Score94.293.2
Leaderboard Rank#1#2
RWT9.09.0
Coding Agent Index77.2
HLE64.764.5
GPQA94.5
IFEval80.3
SWE-bench96.095.5
SWE-Pro79.280.3
SWE-Atlas83.3
Terminal-Bench88.0
DeepSWE68.869.7
OSWorld85.0
MCP Atlas85.8
Finance Agent56.3
CharXiv93.5
MMMU-Pro92.7
ARC-AGI 290.4
Tau289.2
Input Price (per 1M tokens)$5.00$10.0
Output Price (per 1M tokens)$25.0$50.0
Context Window1M1M+
Benchmarks Published817

Claude Opus 5 vs Claude Fable 5 head-to-head charts

Claude Opus 5 leads 3 and Claude Fable 5 leads 2 of 6 shared benchmarks. Claude Opus 5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5Claude Fable 5
Overall
94.2Claude Opus 5
93.2Claude Fable 5
RWT
9.0Claude Opus 5
9.0Claude Fable 5
HLE
64.7Claude Opus 5
64.5Claude Fable 5
SWE-bench
96.0Claude Opus 5
95.5Claude Fable 5
SWE-Pro
79.2Claude Opus 5
80.3Claude Fable 5
DeepSWE
68.8Claude Opus 5
69.7Claude Fable 5
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
Context1M
Claude Fable 5
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 Opus 5 and Claude Fable 5 comparisons

Explore how Claude Opus 5 and Claude Fable 5 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.