LLM Comparison

Muse Wonder vs Composer 2.5: benchmark scores, pricing & comparison.

Side-by-side Muse Wonder vs Composer 2.5 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 #43) and wins 1 of 1 shared benchmarks; Composer 2.5 costs less ($0.50/$2.50 vs $4.00/$20.0 per 1M tokens).

Rank #11 vs #43AskClash overall scores 64.7 vs 41.9.
Pricing $4.00/$20.0 vs $0.50/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Cursor.

Muse Wonder vs Composer 2.5 benchmark comparison

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

MetricMuse WonderComposer 2.5
Overall Score64.741.9
Leaderboard Rank#11#43
ACB62.353.2
RWT—8.5
Coding Agent Index—62.0
HLE50.1—
SWE-Pro—47.0
SWE-Atlas—72.0
Terminal-Bench52.0—
DeepSWE78.8—
GDPval-AA1770.3—
Finance Agent56.6—
Input Price (per 1M tokens)$4.00$0.50
Output Price (per 1M tokens)$20.0$2.50
Context Window1M200K
Benchmarks Published94

Muse Wonder vs Composer 2.5 head-to-head charts

Muse Wonder leads 2 and Composer 2.5 leads 0 of 2 shared benchmarks. Composer 2.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse WonderComposer 2.5
Overall
64.7Muse Wonder
41.9Composer 2.5
ACB
62.3Muse Wonder
53.2Composer 2.5
Muse Wonder
Input$4.00
Output$20.0
Workload$8.00
Context1M
Composer 2.5
Input$0.50
Output$2.50
Workload$1.00
Context200K

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

More Muse Wonder and Composer 2.5 comparisons

Explore how Muse Wonder and Composer 2.5 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.