Muse Wonder vs Qwen3 30B A3B
Muse Wonder leads the LLM Stats Score 47.9 to 17.3. Qwen3 30B A3B is 53.3x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to 17.3, ranking #29 overall.
On price, Qwen3 30B A3B is roughly 53.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Wonder also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Wonder
- overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3 30B A3B
- cost matters — it's about 53.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
16 reported for Muse Wonder · 8 for Qwen3 30B A3B
Muse Wonder and Qwen3 30B A3Bdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Wonder ($4.00/1M tokens) is 40.0x more expensive than Qwen3 30B A3B ($0.10/1M tokens).
For output processing, Muse Wonder ($20.00/1M tokens) is 66.7x more expensive than Qwen3 30B A3B ($0.30/1M tokens).
In conclusion, Muse Wonder is more expensive than Qwen3 30B A3B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Wonder accepts 1,048,576 input tokens compared to Qwen3 30B A3B's 128,000 tokens. Only Qwen3 30B A3B specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas Qwen3 30B A3B does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Wonder
Qwen3 30B A3B
License
Usage and distribution terms
Muse Wonder is licensed under a proprietary license, while Qwen3 30B A3B 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 30B A3B was released on 2025-04-29.
Muse Wonder is 18 months newer than Qwen3 30B A3B.
Oct 12, 2026
0 days ago
1.5yr newerApr 29, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Muse Wonder is available from Meta Model API. Qwen3 30B A3B is available from DeepInfra, Novita, Fireworks.
Muse Wonder
Qwen3 30B A3B
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Wonder and Qwen3 30B A3B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Wonder vs Qwen3 30B A3B.