LLM Comparison

Muse Wonder vs Hy4 Preview: benchmark scores, pricing & comparison.

Side-by-side Muse Wonder 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.

Verdict: Muse Wonder ranks higher (#11 vs #23) and wins 4 of 4 shared benchmarks; Hy4 Preview costs less ($0.83/$2.50 vs $4.00/$20.0 per 1M tokens).

Rank #11 vs #23AskClash overall scores 64.7 vs 58.4.
Pricing $4.00/$20.0 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightMeta vs Tencent.

Muse Wonder vs Hy4 Preview benchmark comparison

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

MetricMuse WonderHy4 Preview
Overall Score64.758.4
Leaderboard Rank#11#23
ACB62.3—
RWT—8.5
HLE50.143.4
GPQA—92.3
SWE-Pro—65.7
Terminal-Bench52.0—
DeepSWE78.864.3
GDPval-AA1770.31678.0
MCP Atlas—83.7
Finance Agent56.655.1
Input Price (per 1M tokens)$4.00$0.83
Output Price (per 1M tokens)$20.0$2.50
Context Window1M1M
Benchmarks Published97

Muse Wonder vs Hy4 Preview head-to-head charts

Muse Wonder leads 5 and Hy4 Preview leads 0 of 5 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse WonderHy4 Preview
Overall
64.7Muse Wonder
58.4Hy4 Preview
HLE
50.1Muse Wonder
43.4Hy4 Preview
DeepSWE
78.8Muse Wonder
64.3Hy4 Preview
GDPval-AA
1770.3Muse Wonder
1678.0Hy4 Preview
Finance Agent
56.6Muse Wonder
55.1Hy4 Preview
Muse Wonder
Input$4.00
Output$20.0
Workload$8.00
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 Muse Wonder and Hy4 Preview comparisons

Explore how Muse Wonder 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.