LLM Comparison

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

Side-by-side Qwen3.8 Max vs Muse Spark 1.3 Max 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 #7 vs #24AskClash overall scores 71.1 vs 63.3.
Pricing $2.00/$6.00 vs —/—Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightsAlibaba vs Meta.

Qwen3.8 Max vs Muse Spark 1.3 Max benchmark comparison

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

MetricQwen3.8 MaxMuse Spark 1.3 Max
Overall Score71.163.3
Leaderboard Rank#7#24
ACB69.362.6
RWT7.5
Coding Agent Index43.3
HLE43.648.7
GPQA92.693.5
IFEval82.8
SWE-Pro67.7
SWE-Atlas66.3
Terminal-Bench86.6
DeepSWE69.3
GDPval-AA1667.71674.1
OSWorld86.1
Finance Agent50.660.0
CharXiv88.4
MMMU-Pro82.7
MRCR92.9
Input Price (per 1M tokens)$2.00
Output Price (per 1M tokens)$6.00
Context Window1M1M
Benchmarks Published158

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

Qwen3.8 Max leads 2 and Muse Spark 1.3 Max leads 4 of 6 shared benchmarks. Charts show only benchmarks both models publish.

Qwen3.8 MaxMuse Spark 1.3 Max
Overall
71.1Qwen3.8 Max
63.3Muse Spark 1.3 Max
ACB
69.3Qwen3.8 Max
62.6Muse Spark 1.3 Max
HLE
43.6Qwen3.8 Max
48.7Muse Spark 1.3 Max
GPQA
92.6Qwen3.8 Max
93.5Muse Spark 1.3 Max
GDPval-AA
1667.7Qwen3.8 Max
1674.1Muse Spark 1.3 Max
Finance Agent
50.6Qwen3.8 Max
60.0Muse Spark 1.3 Max
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M
Muse Spark 1.3 Max
Input
Output
Workload
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 Max comparisons

Explore how Qwen3.8 Max and Muse Spark 1.3 Max 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.