LLM Comparison

Claude Fable 5.1 vs Hy4 Preview: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5.1 vs Hy4 Preview 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 #20AskClash overall scores 92.0 vs 57.0.
Pricing $10.0/$50.0 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Tencent.

Claude Fable 5.1 vs Hy4 Preview benchmark comparison

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

MetricClaude Fable 5.1Hy4 Preview
Overall Score92.057.0
Leaderboard Rank#1#20
ACB79.2
RWT9.08.5
HLE65.043.4
GPQA93.792.3
SWE-Pro81.265.7
Terminal-Bench91.485.4
DeepSWE67.464.3
GDPval-AA1853.01678.0
MCP Atlas83.7
Finance Agent58.9
MMMU-Pro90.6
ARC-AGI 290.0
Input Price (per 1M tokens)$10.0$0.83
Output Price (per 1M tokens)$50.0$2.50
Context Window1M1M
Benchmarks Published117

Claude Fable 5.1 vs Hy4 Preview head-to-head charts

Claude Fable 5.1 leads 8 and Hy4 Preview leads 0 of 8 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5.1Hy4 Preview
Overall
92.0Claude Fable 5.1
57.0Hy4 Preview
RWT
9.0Claude Fable 5.1
8.5Hy4 Preview
HLE
65.0Claude Fable 5.1
43.4Hy4 Preview
GPQA
93.7Claude Fable 5.1
92.3Hy4 Preview
SWE-Pro
81.2Claude Fable 5.1
65.7Hy4 Preview
Terminal-Bench
91.4Claude Fable 5.1
85.4Hy4 Preview
DeepSWE
67.4Claude Fable 5.1
64.3Hy4 Preview
GDPval-AA
1853.0Claude Fable 5.1
1678.0Hy4 Preview
Claude Fable 5.1
Input$10.0
Output$50.0
Workload$20
Context1M
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M

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

More Claude Fable 5.1 and Hy4 Preview comparisons

Explore how Claude Fable 5.1 and Hy4 Preview 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.