LLM Comparison

Muse Wonder Full vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side Muse Wonder Full vs Muse Spark 1.2 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 Full ranks higher (#6 vs #29) and wins 3 of 4 shared benchmarks.

Rank #6 vs #29AskClash overall scores 71.7 vs 55.2.
Pricing —/— vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Meta.

Muse Wonder Full vs Muse Spark 1.2 benchmark comparison

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

MetricMuse Wonder FullMuse Spark 1.2
Overall Score71.755.2
Leaderboard Rank#6#29
ACB—54.8
RWT—7.5
HLE53.645.5
GPQA—90.4
Terminal-Bench57.1—
DeepSWE79.059.0
GDPval-AA1857.11473.8
MCP Atlas—82.2
Finance Agent59.160.6
Input Price (per 1M tokens)—$1.25
Output Price (per 1M tokens)—$4.25
Context Window1M1M
Benchmarks Published810

Muse Wonder Full vs Muse Spark 1.2 head-to-head charts

Muse Wonder Full leads 4 and Muse Spark 1.2 leads 1 of 5 shared benchmarks. Charts show only benchmarks both models publish.

Muse Wonder FullMuse Spark 1.2
Overall
71.7Muse Wonder Full
55.2Muse Spark 1.2
HLE
53.6Muse Wonder Full
45.5Muse Spark 1.2
DeepSWE
79.0Muse Wonder Full
59.0Muse Spark 1.2
GDPval-AA
1857.1Muse Wonder Full
1473.8Muse Spark 1.2
Finance Agent
59.1Muse Wonder Full
60.6Muse Spark 1.2
Muse Wonder Full
Input—
Output—
Workload—
Context1M
Muse Spark 1.2
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 Muse Wonder Full and Muse Spark 1.2 comparisons

Explore how Muse Wonder Full and Muse Spark 1.2 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.