Muse Wonder vs Qwen3.5-9B
Muse Wonder leads the LLM Stats Score 49.3 to 24.2.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 49.3 to 24.2, ranking #24 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Wonder
- overall performance matters — it scores 49.3 and ranks #24 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3.5-9B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Muse Wonder · 25 for Qwen3.5-9B
Muse Wonder and Qwen3.5-9Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Qwen3.5-9B specifies input context (262,144 tokens). Only Qwen3.5-9B specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both Muse Wonder and Qwen3.5-9B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Wonder
Qwen3.5-9B
License
Usage and distribution terms
Muse Wonder is licensed under a proprietary license, while Qwen3.5-9B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Muse Wonder was released on 2026-10-12, while Qwen3.5-9B was released on 2026-03-02.
Muse Wonder is 7 months newer than Qwen3.5-9B.
Oct 12, 2026
1 weeks ago
7mo newerMar 2, 2026
7 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Wonder and Qwen3.5-9B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Wonder vs Qwen3.5-9B.