Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Claude Fable 5.2 vs Claude Opus 4.8: benchmark scores, pricing & comparison.
Side-by-side Claude Fable 5.2 vs Claude Opus 4.8 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 5.2 ranks higher (#1 vs #20) and wins 5 of 6 shared benchmarks; Claude Opus 4.8 costs less ($5.00/$25.0 vs $8.00/$40.0 per 1M tokens).
Rank #1 vs #20AskClash overall scores 81.6 vs 56.1.
Pricing $8.00/$40.0 vs $5.00/$25.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAnthropic vs Anthropic.
Claude Fable 5.2 vs Claude Opus 4.8 benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Claude Fable 5.2 | Claude Opus 4.8 |
|---|---|---|
| Overall Score | 81.6 | 56.1 |
| Leaderboard Rank | #1 | #20 |
| ACB | 91.4 | 60.1 |
| RWT | — | 9.0 |
| Coding Agent Index | — | 72.5 |
| HLE | 74.2 | 57.9 |
| GPQA | — | 93.6 |
| IFEval | — | 62.2 |
| SWE-bench | — | 88.6 |
| SWE-Pro | 93.0 | 69.2 |
| SWE-Atlas | — | 82.5 |
| Terminal-Bench | 59.6 | 21.7 |
| DeepSWE | 74.3 | 59.0 |
| GDPval-AA | 1831.0 | 1889.8 |
| OSWorld | — | 83.4 |
| MCP Atlas | — | 82.2 |
| Finance Agent | — | 53.9 |
| CharXiv | — | 89.9 |
| ARC-AGI 2 | — | 72.1 |
| Tau2 | — | 94.4 |
| Input Price (per 1M tokens) | $8.00 | $5.00 |
| Output Price (per 1M tokens) | $40.0 | $25.0 |
| Context Window | 1M | 1M |
| Benchmarks Published | 9 | 16 |
Claude Fable 5.2 vs Claude Opus 4.8 head-to-head charts
Claude Fable 5.2 leads 6 and Claude Opus 4.8 leads 1 of 7 shared benchmarks. Claude Opus 4.8 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Claude Fable 5.2Claude Opus 4.8
Overall
ACB
HLE
SWE-Pro
Terminal-Bench
DeepSWE
GDPval-AA
Claude Fable 5.2
Input$8.00
Output$40.0
Workload$16
Context1M
Claude Opus 4.8
Input$5.00
Output$25.0
Workload$10
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More Claude Fable 5.2 and Claude Opus 4.8 comparisons
Explore how Claude Fable 5.2 and Claude Opus 4.8 stack up against other top-ranked LLMs.
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How to read this comparison
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.