LLM Comparison

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

Side-by-side Muse Wonder 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.

Verdict: Muse Wonder ranks higher (#11 vs #26) and wins 4 of 5 shared benchmarks; Qwen3.8 Flash Next costs less ($0.16/$0.47 vs $4.00/$20.0 per 1M tokens).

Rank #11 vs #26AskClash overall scores 64.7 vs 57.3.
Pricing $4.00/$20.0 vs $0.16/$0.47Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightMeta vs Alibaba.

Muse Wonder 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 WonderQwen3.8 Flash Next
Overall Score64.757.3
Leaderboard Rank#11#26
ACB62.366.5
HLE50.135.9
GPQA—91.7
IFEval—81.3
SWE-Pro—62.5
Terminal-Bench52.025.2
DeepSWE78.858.7
GDPval-AA1770.31743.0
Finance Agent56.6—
CharXiv—90.6
MMMU-Pro—79.8
Input Price (per 1M tokens)$4.00$0.16
Output Price (per 1M tokens)$20.0$0.47
Context Window1M1M
Benchmarks Published912

Muse Wonder vs Qwen3.8 Flash Next head-to-head charts

Muse Wonder leads 5 and Qwen3.8 Flash Next leads 1 of 6 shared benchmarks. Qwen3.8 Flash Next is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse WonderQwen3.8 Flash Next
Overall
64.7Muse Wonder
57.3Qwen3.8 Flash Next
ACB
62.3Muse Wonder
66.5Qwen3.8 Flash Next
HLE
50.1Muse Wonder
35.9Qwen3.8 Flash Next
Terminal-Bench
52.0Muse Wonder
25.2Qwen3.8 Flash Next
DeepSWE
78.8Muse Wonder
58.7Qwen3.8 Flash Next
GDPval-AA
1770.3Muse Wonder
1743.0Qwen3.8 Flash Next
Muse Wonder
Input$4.00
Output$20.0
Workload$8.00
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 Wonder and Qwen3.8 Flash Next comparisons

Explore how Muse Wonder 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.