LLM Comparison

Muse Spark 1.3 vs Hy3: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.3 vs Hy3 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.

Open live leaderboardMuse Spark 1.3 model pageHy3 model page
Rank #15 vs #38AskClash overall scores 58.2 vs 26.7.
Pricing $1.25/$4.25 vs $0.12/$0.43Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightMeta vs Tencent.

Muse Spark 1.3 vs Hy3 benchmark comparison

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

MetricMuse Spark 1.3Hy3
Overall Score58.226.7
Leaderboard Rank#15#38
ACB55.5—
RWT7.58.0
HLE—53.2
GPQA—90.4
SWE-bench—78.0
SWE-Pro—57.9
SWE-Atlas59.4—
Terminal-Bench88.871.7
DeepSWE75.4—
GDPval-AA1754.0—
MCP Atlas—79.1
Tau2—92.7
MRCR98.175.1
Input Price (per 1M tokens)$1.25$0.12
Output Price (per 1M tokens)$4.25$0.43
Context Window1M256K
Benchmarks Published69

Muse Spark 1.3 vs Hy3 head-to-head charts

Muse Spark 1.3 leads 3 and Hy3 leads 1 of 4 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.3Hy3
Overall
58.2Muse Spark 1.3
26.7Hy3
RWT
7.5Muse Spark 1.3
8.0Hy3
Terminal-Bench
88.8Muse Spark 1.3
71.7Hy3
MRCR
98.1Muse Spark 1.3
75.1Hy3
Muse Spark 1.3
Input$1.25
Output$4.25
Workload$2.10
Context1M
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K

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

More Muse Spark 1.3 and Hy3 comparisons

Explore how Muse Spark 1.3 and Hy3 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Muse Spark 1.3Claude Fable 5.1 vs Hy3Claude Fable 5 vs Muse Spark 1.3Claude Fable 5 vs Hy3GPT-5.6 Sol vs Muse Spark 1.3GPT-5.6 Sol vs Hy3Claude Opus 5 vs Muse Spark 1.3Claude Opus 5 vs Hy3Grok 4.6 vs Muse Spark 1.3Grok 4.6 vs Hy3

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.