LLM Comparison

Muse Spark 1.1 vs Composer 2.5: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.1 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.

Rank #6 vs #14AskClash overall scores 77.5 vs 67.0.
Pricing $1.25/$4.25 vs $0.50/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Cursor.

Muse Spark 1.1 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 Spark 1.1Composer 2.5
Overall Score77.567.0
Leaderboard Rank#6#14
RWT7.58.5
Coding Agent Index33.8
HLE62.1
SWE-Pro61.547.0
SWE-Atlas72.0
Terminal-Bench80.069.3
OSWorld80.8
MCP Atlas88.1
Finance Agent57.2
CharXiv88.4
MRCR54.1
Input Price (per 1M tokens)$1.25$0.50
Output Price (per 1M tokens)$4.25$2.50
Context Window1M200K
Benchmarks Published94

Muse Spark 1.1 vs Composer 2.5 head-to-head charts

Muse Spark 1.1 leads 3 and Composer 2.5 leads 1 of 4 shared benchmarks. Composer 2.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1Composer 2.5
Overall
77.5Muse Spark 1.1
67.0Composer 2.5
RWT
7.5Muse Spark 1.1
8.5Composer 2.5
SWE-Pro
61.5Muse Spark 1.1
47.0Composer 2.5
Terminal-Bench
80.0Muse Spark 1.1
69.3Composer 2.5
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
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 Spark 1.1 and Composer 2.5 comparisons

Explore how Muse Spark 1.1 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.