LLM Comparison

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

Side-by-side Muse Spark 1.3 vs Qwen3.8 Flash Next 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 #16AskClash overall scores 58.2 vs 57.9.
Pricing $1.25/$4.25 vs $0.16/$0.47Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightMeta vs Alibaba.

Muse Spark 1.3 vs Qwen3.8 Flash Next benchmark comparison

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

MetricMuse Spark 1.3Qwen3.8 Flash Next
Overall Score58.257.9
Leaderboard Rank#15#16
ACB55.566.5
RWT7.5
HLE35.9
GPQA91.7
IFEval81.3
SWE-Pro62.5
SWE-Atlas59.4
Terminal-Bench88.8
DeepSWE75.458.7
GDPval-AA1754.01743.0
CharXiv90.6
MRCR98.1
Input Price (per 1M tokens)$1.25$0.16
Output Price (per 1M tokens)$4.25$0.47
Context Window1M1M
Benchmarks Published69

Muse Spark 1.3 vs Qwen3.8 Flash Next head-to-head charts

Muse Spark 1.3 leads 3 and Qwen3.8 Flash Next leads 1 of 4 shared benchmarks. Qwen3.8 Flash Next is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.3Qwen3.8 Flash Next
Overall
58.2Muse Spark 1.3
57.9Qwen3.8 Flash Next
ACB
55.5Muse Spark 1.3
66.5Qwen3.8 Flash Next
DeepSWE
75.4Muse Spark 1.3
58.7Qwen3.8 Flash Next
GDPval-AA
1754.0Muse Spark 1.3
1743.0Qwen3.8 Flash Next
Muse Spark 1.3
Input$1.25
Output$4.25
Workload$2.10
Context1M
Qwen3.8 Flash Next
Input$0.16
Output$0.47
Workload$0.25
Context1M

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

More Muse Spark 1.3 and Qwen3.8 Flash Next comparisons

Explore how Muse Spark 1.3 and Qwen3.8 Flash Next 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.