LLM Comparison

Claude Fable 5 vs Ornith-1.5-397B: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs Ornith-1.5-397B 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 #2 vs #15AskClash overall scores 85.1 vs 66.3.
Pricing $10.0/$50.0 vs $0/$0Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Ornith AI.

Claude Fable 5 vs Ornith-1.5-397B benchmark comparison

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

MetricClaude Fable 5Ornith-1.5-397B
Overall Score85.166.3
Leaderboard Rank#2#15
ACB64.6
RWT9.0
Coding Agent Index77.2
HLE64.544.6
GPQA94.592.8
IFEval80.3
SWE-bench95.586.0
SWE-Pro80.3
SWE-Atlas83.3
Terminal-Bench88.0
DeepSWE69.7
OSWorld85.0
MCP Atlas80.0
Finance Agent56.3
CharXiv93.5
MMMU-Pro92.7
Tau289.2
Input Price (per 1M tokens)$10.0$0
Output Price (per 1M tokens)$50.0$0
Context Window1M+262K
Benchmarks Published174

Claude Fable 5 vs Ornith-1.5-397B head-to-head charts

Claude Fable 5 leads 4 and Ornith-1.5-397B leads 0 of 4 shared benchmarks. Ornith-1.5-397B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5Ornith-1.5-397B
Overall
85.1Claude Fable 5
66.3Ornith-1.5-397B
HLE
64.5Claude Fable 5
44.6Ornith-1.5-397B
GPQA
94.5Claude Fable 5
92.8Ornith-1.5-397B
SWE-bench
95.5Claude Fable 5
86.0Ornith-1.5-397B
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
Ornith-1.5-397B
Input$0
Output$0
Workload$0.00
Context262K

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

More Claude Fable 5 and Ornith-1.5-397B comparisons

Explore how Claude Fable 5 and Ornith-1.5-397B 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.