LLM Comparison

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

Side-by-side Muse Wonder vs Muse Wonder Full 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 (#12 vs #13); Muse Wonder Full wins 5 of 5 shared benchmarks.

Rank #12 vs #13AskClash overall scores 64.3 vs 62.7.
Pricing $4.00/$20.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Meta.

Muse Wonder vs Muse Wonder Full benchmark comparison

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

MetricMuse WonderMuse Wonder Full
Overall Score64.362.7
Leaderboard Rank#12#13
ACB62.3—
HLE50.153.6
Terminal-Bench52.057.1
DeepSWE78.879.0
GDPval-AA1770.31857.1
Finance Agent56.659.1
Input Price (per 1M tokens)$4.00—
Output Price (per 1M tokens)$20.0—
Context Window1M1M
Benchmarks Published98

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

Muse Wonder leads 1 and Muse Wonder Full leads 5 of 6 shared benchmarks. Charts show only benchmarks both models publish.

Muse WonderMuse Wonder Full
Overall
64.3Muse Wonder
62.7Muse Wonder Full
HLE
50.1Muse Wonder
53.6Muse Wonder Full
Terminal-Bench
52.0Muse Wonder
57.1Muse Wonder Full
DeepSWE
78.8Muse Wonder
79.0Muse Wonder Full
GDPval-AA
1770.3Muse Wonder
1857.1Muse Wonder Full
Finance Agent
56.6Muse Wonder
59.1Muse Wonder Full
Muse Wonder
Input$4.00
Output$20.0
Workload$8.00
Context1M
Muse Wonder Full
Input—
Output—
Workload—
Context1M

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

More Muse Wonder and Muse Wonder Full comparisons

Explore how Muse Wonder and Muse Wonder Full 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.