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Muse Wonder vs Qwen3.5-397B-A17B

Muse Wonder leads the LLM Stats Score 49.2 to 38.5.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.2 to 38.5, ranking #25 overall.

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

Choose Muse Wonder

  • overall performance matters — it scores 49.2 and ranks #25 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.5-397B-A17B

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

At a glance

The differences that matter most.

Muse Wonder
Meta
Qwen3.5-397B-A17B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
49.2
#25
38.5
#80
Reasoning
37.7
#81
38.4
#79
Coding
38.2
#21
23.0
#94
Agents
37.2
#17
20.0
#82
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.45 / M
Output price
— / M
$3.00 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Wonder
Qwen3.5-397B-A17B
Vision
26.6#53
18.1#96
Tool use
19.1#75
16.7#92
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Muse Wonder · 38 for Qwen3.5-397B-A17B

No common benchmarks found

Muse Wonder and Qwen3.5-397B-A17Bdon'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 Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (262,144 tokens).

Meta
Muse Wonder
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder and Qwen3.5-397B-A17B support multimodal inputs.

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

Muse Wonder

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder is licensed under a proprietary license, while Qwen3.5-397B-A17B 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

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Wonder was released on 2026-10-12, while Qwen3.5-397B-A17B was released on 2026-02-16.

Muse Wonder is 8 months newer than Qwen3.5-397B-A17B.

Muse Wonder

Oct 12, 2026

1 weeks ago

7mo newer
Qwen3.5-397B-A17B

Feb 16, 2026

8 months 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 Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.

Muse Wonder
✓ Preferred
Qwen3.5-397B-A17B
Open in Playground

FAQ

Common questions about Muse Wonder vs Qwen3.5-397B-A17B.

Which is better, Muse Wonder or Qwen3.5-397B-A17B?

Muse Wonder leads the LLM Stats Score 49.2 to 38.5. Muse Wonder is made by Meta and Qwen3.5-397B-A17B 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 compare to Qwen3.5-397B-A17B 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%. Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.

What are the context window sizes for Muse Wonder and Qwen3.5-397B-A17B?

Muse Wonder supports an unknown number of tokens and Qwen3.5-397B-A17B 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 and Qwen3.5-397B-A17B?

Key differences include LLM Stats Score (49.2 vs 38.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder and Qwen3.5-397B-A17B?

Muse Wonder is developed by Meta and Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team.

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