LLM Comparison

Muse Spark 1.3 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.3 vs Qwen3.7 Plus 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 #15 vs #41AskClash overall scores 58.2 vs 24.9.
Pricing $1.25/$4.25 vs $0.40/$1.60Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Alibaba.

Muse Spark 1.3 vs Qwen3.7 Plus benchmark comparison

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

MetricMuse Spark 1.3Qwen3.7 Plus
Overall Score58.224.9
Leaderboard Rank#15#41
ACB55.5
RWT7.57.5
HLE34.7
GPQA90.3
IFEval94.6
SWE-bench77.7
SWE-Pro57.6
SWE-Atlas59.4
Terminal-Bench88.870.3
DeepSWE75.4
GDPval-AA1754.01522.1
OSWorld73.3
MCP Atlas73.2
Finance Agent38.2
CharXiv85.9
MMMU-Pro79.0
Tau293.0
MRCR98.191.7
Input Price (per 1M tokens)$1.25$0.40
Output Price (per 1M tokens)$4.25$1.60
Context Window1M1M
Benchmarks Published615

Muse Spark 1.3 vs Qwen3.7 Plus head-to-head charts

Muse Spark 1.3 leads 4 and Qwen3.7 Plus leads 0 of 5 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.3Qwen3.7 Plus
Overall
58.2Muse Spark 1.3
24.9Qwen3.7 Plus
RWT
7.5Muse Spark 1.3
7.5Qwen3.7 Plus
Terminal-Bench
88.8Muse Spark 1.3
70.3Qwen3.7 Plus
GDPval-AA
1754.0Muse Spark 1.3
1522.1Qwen3.7 Plus
MRCR
98.1Muse Spark 1.3
91.7Qwen3.7 Plus
Muse Spark 1.3
Input$1.25
Output$4.25
Workload$2.10
Context1M
Qwen3.7 Plus
Input$0.40
Output$1.60
Workload$0.72
Context1M

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

More Muse Spark 1.3 and Qwen3.7 Plus comparisons

Explore how Muse Spark 1.3 and Qwen3.7 Plus 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.