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Muse Wonder vs Qwen3-Coder

Comparing Muse Wonder and Qwen3-Coder across benchmarks, pricing, and capabilities.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Wonder and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Muse Wonder

  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3-Coder

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

At a glance

The differences that matter most.

Muse Wonder
Meta
Qwen3-Coder
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
— / M
$0.18 / M
Output price
— / M
$0.18 / M
Context window
—
256,000

Individual benchmarks

16 reported for Muse Wonder · 0 for Qwen3-Coder

No common benchmarks found

Muse Wonder and Qwen3-Coderdon'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-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).

Meta
Muse Wonder
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder supports multimodal inputs, whereas Qwen3-Coder does not.

Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.

Muse Wonder

Text
Images
Audio
Video

Qwen3-Coder

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder is licensed under a proprietary license, while Qwen3-Coder uses Apache 2.0.

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

Muse Wonder

Proprietary

Closed source

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Wonder was released on 2026-10-12, while Qwen3-Coder was released on 2025-01-01.

Muse Wonder is 22 months newer than Qwen3-Coder.

Muse Wonder

Oct 12, 2026

1 weeks ago

1.8yr newer
Qwen3-Coder

Jan 1, 2025

1.8 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 and Qwen3-Coder side-by-side, then vote on the output you prefer.

Muse Wonder
✓ Preferred
Qwen3-Coder
Open in Playground

FAQ

Common questions about Muse Wonder vs Qwen3-Coder.

Which is better, Muse Wonder or Qwen3-Coder?

Muse Wonder (Meta) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Muse Wonder compare to Qwen3-Coder in benchmarks?

Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

What are the context window sizes for Muse Wonder and Qwen3-Coder?

Muse Wonder supports an unknown number of tokens and Qwen3-Coder supports 256K 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 and Qwen3-Coder?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder and Qwen3-Coder?

Muse Wonder is developed by Meta and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.

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