LLM Comparison

Qwen3.7 Plus vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side Qwen3.7 Plus vs Muse Spark 1.2 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 #27 vs #29AskClash overall scores 56.6 vs 56.6.
Pricing $0.40/$1.60 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryAlibaba vs Meta.

Qwen3.7 Plus vs Muse Spark 1.2 benchmark comparison

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

MetricQwen3.7 PlusMuse Spark 1.2
Overall Score56.656.6
Leaderboard Rank#27#29
ACB54.8
RWT7.57.5
HLE34.745.5
GPQA90.390.4
IFEval94.6
SWE-bench77.7
SWE-Pro57.6
Terminal-Bench70.3
DeepSWE59.0
GDPval-AA1522.11523.3
OSWorld73.3
MCP Atlas73.282.2
Finance Agent38.260.6
CharXiv85.9
MMMU-Pro79.0
Tau293.0
MRCR91.7
Input Price (per 1M tokens)$0.40$1.25
Output Price (per 1M tokens)$1.60$4.25
Context Window1M1M
Benchmarks Published158

Qwen3.7 Plus vs Muse Spark 1.2 head-to-head charts

Qwen3.7 Plus leads 1 and Muse Spark 1.2 leads 5 of 7 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.7 PlusMuse Spark 1.2
Overall
56.6Qwen3.7 Plus
56.6Muse Spark 1.2
RWT
7.5Qwen3.7 Plus
7.5Muse Spark 1.2
HLE
34.7Qwen3.7 Plus
45.5Muse Spark 1.2
GPQA
90.3Qwen3.7 Plus
90.4Muse Spark 1.2
GDPval-AA
1522.1Qwen3.7 Plus
1523.3Muse Spark 1.2
MCP Atlas
73.2Qwen3.7 Plus
82.2Muse Spark 1.2
Finance Agent
38.2Qwen3.7 Plus
60.6Muse Spark 1.2
Qwen3.7 Plus
Input$0.40
Output$1.60
Workload$0.72
Context1M
Muse Spark 1.2
Input$1.25
Output$4.25
Workload$2.10
Context1M

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

More Qwen3.7 Plus and Muse Spark 1.2 comparisons

Explore how Qwen3.7 Plus and Muse Spark 1.2 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.