How do Muse Spark 1.1 and Qwen3.5 397B compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Muse Spark 1.1 and Qwen3.5 397B when publicly disclosed.

LLM Comparison

Muse Spark 1.1 vs Qwen3.5 397B: benchmark scores, pricing & comparison.

Q: Which is better: Muse Spark 1.1 or Qwen3.5 397B?

AskClash compares Muse Spark 1.1 and Qwen3.5 397B side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Muse Spark 1.1 vs Qwen3.5 397B 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.

Open live leaderboard Muse Spark 1.1 model page Qwen3.5 397B model page

Rank #12 vs #26AskClash overall scores 67.9 vs 50.2.

Pricing $1.25/$4.25 vs $0.60/$3.60Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightMeta vs Alibaba.

Muse Spark 1.1 vs Qwen3.5 397B benchmark comparison

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

Metric	Muse Spark 1.1	Qwen3.5 397B
Overall Score	67.9	50.2
Leaderboard Rank	#12	#26
RWT	7.5	—
HLE	62.1	28.7
GPQA	—	88.4
IFEval	—	92.6
SWE-bench	—	76.2
SWE-Pro	61.5	—
Terminal-Bench	80.0	—
OSWorld	80.8	—
MCP Atlas	88.1	46.1
Finance Agent	57.2	—
CharXiv	88.4	80.8
MMMU-Pro	—	79.0
Tau2	—	95.6
MRCR	54.1	—
Input Price (per 1M tokens)	$1.25	$0.60
Output Price (per 1M tokens)	$4.25	$3.60
Context Window	1M	128K
Benchmarks Published	10	8

Muse Spark 1.1 vs Qwen3.5 397B head-to-head charts

Muse Spark 1.1 leads 4 and Qwen3.5 397B leads 0 of 4 shared benchmarks. Qwen3.5 397B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1Qwen3.5 397B

Overall

67.9Muse Spark 1.1

50.2Qwen3.5 397B

HLE

62.1Muse Spark 1.1

28.7Qwen3.5 397B

MCP Atlas

88.1Muse Spark 1.1

46.1Qwen3.5 397B

CharXiv

88.4Muse Spark 1.1

80.8Qwen3.5 397B

Muse Spark 1.1

Input$1.25

Output$4.25

Workload$2.10

Context1M

Qwen3.5 397B

Input$0.60

Output$3.60

Workload$1.32

Context128K

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

More Muse Spark 1.1 and Qwen3.5 397B comparisons

Explore how Muse Spark 1.1 and Qwen3.5 397B stack up against other top-ranked LLMs.

Claude Opus 5 vs Muse Spark 1.1 Claude Opus 5 vs Qwen3.5 397B Claude Fable 5 vs Muse Spark 1.1 Claude Fable 5 vs Qwen3.5 397B GPT-5.6 Sol vs Muse Spark 1.1 GPT-5.6 Sol vs Qwen3.5 397B Claude Opus 4.8 vs Muse Spark 1.1 Claude Opus 4.8 vs Qwen3.5 397B Kimi K3 vs Muse Spark 1.1 Kimi K3 vs Qwen3.5 397B

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.