How do Qwen3.8 Max and Muse Spark 1.3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max and Muse Spark 1.3 when publicly disclosed.

LLM Comparison

Qwen3.8 Max vs Muse Spark 1.3: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max or Muse Spark 1.3?

AskClash compares Qwen3.8 Max and Muse Spark 1.3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.8 Max vs Muse Spark 1.3 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 Qwen3.8 Max model page Muse Spark 1.3 model page

Rank #10 vs #15AskClash overall scores 62.7 vs 58.2.

Pricing $2.00/$6.00 vs $1.25/$4.25Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryAlibaba vs Meta.

Qwen3.8 Max vs Muse Spark 1.3 benchmark comparison

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

Metric	Qwen3.8 Max	Muse Spark 1.3
Overall Score	62.7	58.2
Leaderboard Rank	#10	#15
ACB	59.0	55.5
RWT	—	7.5
HLE	43.6	—
GPQA	92.6	—
IFEval	82.8	—
SWE-Pro	67.7	—
SWE-Atlas	—	59.4
Terminal-Bench	86.6	88.8
DeepSWE	56.6	75.4
GDPval-AA	—	1754.0
OSWorld	86.1	—
Finance Agent	50.6	—
CharXiv	88.4	—
MMMU-Pro	82.3	—
MRCR	92.9	98.1
Input Price (per 1M tokens)	$2.00	$1.25
Output Price (per 1M tokens)	$6.00	$4.25
Context Window	1M	1M
Benchmarks Published	13	6

Qwen3.8 Max vs Muse Spark 1.3 head-to-head charts

Qwen3.8 Max leads 2 and Muse Spark 1.3 leads 3 of 5 shared benchmarks. Muse Spark 1.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxMuse Spark 1.3

Overall

62.7Qwen3.8 Max

58.2Muse Spark 1.3

ACB

59.0Qwen3.8 Max

55.5Muse Spark 1.3

Terminal-Bench

86.6Qwen3.8 Max

88.8Muse Spark 1.3

DeepSWE

56.6Qwen3.8 Max

75.4Muse Spark 1.3

MRCR

92.9Qwen3.8 Max

98.1Muse Spark 1.3

Qwen3.8 Max

Input$2.00

Output$6.00

Workload$3.20

Context1M

Muse Spark 1.3

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 Qwen3.8 Max and Muse Spark 1.3 comparisons

Explore how Qwen3.8 Max and Muse Spark 1.3 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Qwen3.8 Max Claude Fable 5.1 vs Muse Spark 1.3 Claude Fable 5 vs Qwen3.8 Max Claude Fable 5 vs Muse Spark 1.3 GPT-5.6 Sol vs Qwen3.8 Max GPT-5.6 Sol vs Muse Spark 1.3 Claude Opus 5 vs Qwen3.8 Max Claude Opus 5 vs Muse Spark 1.3 Grok 4.6 vs Qwen3.8 Max Grok 4.6 vs Muse Spark 1.3

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.