LLM Comparison

Hy4 Preview vs Claude Sonnet 5: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs Claude Sonnet 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 #16 vs #17AskClash overall scores 59.9 vs 58.9.
Pricing $0.83/$2.50 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryTencent vs Anthropic.

Hy4 Preview vs Claude Sonnet 5 benchmark comparison

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

MetricHy4 PreviewClaude Sonnet 5
Overall Score59.958.9
Leaderboard Rank#16#17
ACB60.8
RWT8.58.5
HLE43.457.4
GPQA92.391.1
SWE-bench85.2
SWE-Pro65.763.2
Terminal-Bench85.480.4
DeepSWE64.353.8
GDPval-AA1678.01618.0
OSWorld81.2
MCP Atlas83.7
CharXiv88.3
MMMU-Pro77.3
Input Price (per 1M tokens)$0.83$3.00
Output Price (per 1M tokens)$2.50$15.0
Context Window1M1M
Benchmarks Published712

Hy4 Preview vs Claude Sonnet 5 head-to-head charts

Hy4 Preview leads 6 and Claude Sonnet 5 leads 1 of 8 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewClaude Sonnet 5
Overall
59.9Hy4 Preview
58.9Claude Sonnet 5
RWT
8.5Hy4 Preview
8.5Claude Sonnet 5
HLE
43.4Hy4 Preview
57.4Claude Sonnet 5
GPQA
92.3Hy4 Preview
91.1Claude Sonnet 5
SWE-Pro
65.7Hy4 Preview
63.2Claude Sonnet 5
Terminal-Bench
85.4Hy4 Preview
80.4Claude Sonnet 5
DeepSWE
64.3Hy4 Preview
53.8Claude Sonnet 5
GDPval-AA
1678.0Hy4 Preview
1618.0Claude Sonnet 5
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
Context1M

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

More Hy4 Preview and Claude Sonnet 5 comparisons

Explore how Hy4 Preview and Claude Sonnet 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.