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Muse Wonder Full vs Qwen3 VL 30B A3B Instruct

Muse Wonder Full leads the LLM Stats Score 52.1 to 16.4.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 16.4, ranking #13 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 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 VL 30B A3B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Wonder Full
Meta
Qwen3 VL 30B A3B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
52.1
#13
16.4
#239
Reasoning
38.4
#71
15.0
#242
Agents
38.5
#8
4.3
#170
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Wonder Full
Qwen3 VL 30B A3B Instruct
Vision
31.7#28
11.3#121
Multimodal
31.8#25
13.6#109
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Muse Wonder Full · 50 for Qwen3 VL 30B A3B Instruct

No common benchmarks found

Muse Wonder Full and Qwen3 VL 30B A3B Instructdon'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 VL 30B A3B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 30B A3B Instruct specifies output context (262,144 tokens).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input262,144 tokens
Output262,144 tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder Full and Qwen3 VL 30B A3B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Muse Wonder Full

Text
Images
Audio
Video

Qwen3 VL 30B A3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder Full is licensed under a proprietary license, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Wonder Full

Proprietary

Closed source

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Muse Wonder Full is 13 months newer than Qwen3 VL 30B A3B Instruct.

Muse Wonder Full

Oct 12, 2026

0 days ago

1.1yr newer
Qwen3 VL 30B A3B Instruct

Sep 22, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Wonder Full and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
Qwen3 VL 30B A3B Instruct
Open in Playground

FAQ

Common questions about Muse Wonder Full vs Qwen3 VL 30B A3B Instruct.

Which is better, Muse Wonder Full or Qwen3 VL 30B A3B Instruct?

Muse Wonder Full leads the LLM Stats Score 52.1 to 16.4. Muse Wonder Full is made by Meta and Qwen3 VL 30B A3B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Wonder Full compare to Qwen3 VL 30B A3B Instruct in benchmarks?

Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

What are the context window sizes for Muse Wonder Full and Qwen3 VL 30B A3B Instruct?

Muse Wonder Full supports an unknown number of tokens and Qwen3 VL 30B A3B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Wonder Full and Qwen3 VL 30B A3B Instruct?

Key differences include LLM Stats Score (52.1 vs 16.4), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and Qwen3 VL 30B A3B Instruct?

Muse Wonder Full is developed by Meta and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.

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