LLM Comparison

Muse Spark 1.1 vs Claude Sonnet 5: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.1 vs Claude Sonnet 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 #8AskClash overall scores 77.5 vs 77.0.
Pricing $1.25/$4.25 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Anthropic.

Muse Spark 1.1 vs Claude Sonnet 5 benchmark comparison

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

MetricMuse Spark 1.1Claude Sonnet 5
Overall Score77.577.0
Leaderboard Rank#6#8
RWT7.58.5
HLE62.157.4
GPQA91.1
SWE-bench85.2
SWE-Pro61.563.2
Terminal-Bench80.080.4
DeepSWE53.8
OSWorld80.881.2
MCP Atlas88.1
Finance Agent57.2
CharXiv88.488.3
MMMU-Pro77.3
MRCR54.1
Input Price (per 1M tokens)$1.25$3.00
Output Price (per 1M tokens)$4.25$15.0
Context Window1M1M
Benchmarks Published911

Muse Spark 1.1 vs Claude Sonnet 5 head-to-head charts

Muse Spark 1.1 leads 3 and Claude Sonnet 5 leads 4 of 7 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1Claude Sonnet 5
Overall
77.5Muse Spark 1.1
77.0Claude Sonnet 5
RWT
7.5Muse Spark 1.1
8.5Claude Sonnet 5
HLE
62.1Muse Spark 1.1
57.4Claude Sonnet 5
SWE-Pro
61.5Muse Spark 1.1
63.2Claude Sonnet 5
Terminal-Bench
80.0Muse Spark 1.1
80.4Claude Sonnet 5
OSWorld
80.8Muse Spark 1.1
81.2Claude Sonnet 5
CharXiv
88.4Muse Spark 1.1
88.3Claude Sonnet 5
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
Context1M

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

More Muse Spark 1.1 and Claude Sonnet 5 comparisons

Explore how Muse Spark 1.1 and Claude Sonnet 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.