LLM Comparison

Hy4 Preview vs Muse Spark 1.1: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs Muse Spark 1.1 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 #24AskClash overall scores 59.9 vs 54.6.
Pricing $0.83/$2.50 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryTencent vs Meta.

Hy4 Preview vs Muse Spark 1.1 benchmark comparison

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

MetricHy4 PreviewMuse Spark 1.1
Overall Score59.954.6
Leaderboard Rank#16#24
ACB51.3
RWT8.57.5
HLE43.462.1
GPQA92.3
SWE-Pro65.761.5
Terminal-Bench85.480.0
DeepSWE64.353.3
GDPval-AA1678.01381.0
OSWorld80.8
MCP Atlas83.788.1
Finance Agent57.2
CharXiv88.4
MRCR54.1
Input Price (per 1M tokens)$0.83$1.25
Output Price (per 1M tokens)$2.50$4.25
Context Window1M1M
Benchmarks Published712

Hy4 Preview vs Muse Spark 1.1 head-to-head charts

Hy4 Preview leads 6 and Muse Spark 1.1 leads 2 of 8 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewMuse Spark 1.1
Overall
59.9Hy4 Preview
54.6Muse Spark 1.1
RWT
8.5Hy4 Preview
7.5Muse Spark 1.1
HLE
43.4Hy4 Preview
62.1Muse Spark 1.1
SWE-Pro
65.7Hy4 Preview
61.5Muse Spark 1.1
Terminal-Bench
85.4Hy4 Preview
80.0Muse Spark 1.1
DeepSWE
64.3Hy4 Preview
53.3Muse Spark 1.1
GDPval-AA
1678.0Hy4 Preview
1381.0Muse Spark 1.1
MCP Atlas
83.7Hy4 Preview
88.1Muse Spark 1.1
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M

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

More Hy4 Preview and Muse Spark 1.1 comparisons

Explore how Hy4 Preview and Muse Spark 1.1 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.