The AI arena is free today

Open Superagent

Muse Wonder vs Qwen3.8-Flash-Next

Muse Wonder and Qwen3.8-Flash-Next are closely matched at 47.9 and 48.3 on the LLM Stats Score.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Muse Wonder and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 47.9 and 48.3.

In the 1 individual benchmarks reported for both models, Muse Wonder wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Muse Wonder

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.8-Flash-Next

  • your work emphasizes reasoning — it leads those capability indexes
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
47.9
#29
48.3
#26
33.1
#108
48.4
#20
38.9
#18
33.9
#35
34.1
#24
33.0
#30
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$4.00 / M
— / M
Output price
$20.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Wonder
Qwen3.8-Flash-Next
25.4#52
33.7#17
25.4#52
35.3#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Muse Wonder · 22 for Qwen3.8-Flash-Next

1 shared

Muse Wonder outperforms in 1 benchmarks (DeepSWE 1.1), while Qwen3.8-Flash-Next is better at 0 benchmarks.

Muse Wonder significantly outperforms across most benchmarks.

Wed Oct 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Wonder specifies input context (1,048,576 tokens).

Meta
Muse Wonder
Input1,048,576 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder and Qwen3.8-Flash-Next support multimodal inputs.

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

Muse Wonder

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Muse Wonder

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Muse Wonder was released on 2026-10-12, while Qwen3.8-Flash-Next was released on 2026-08-26.

Muse Wonder is 2 months newer than Qwen3.8-Flash-Next.

Muse Wonder

Oct 12, 2026

2 days ago

1mo newer
Qwen3.8-Flash-Next

Aug 26, 2026

1 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 Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Muse Wonder
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Muse Wonder vs Qwen3.8-Flash-Next.

Which is better, Muse Wonder or Qwen3.8-Flash-Next?

Muse Wonder and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 47.9 and 48.3. Muse Wonder is made by Meta and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next 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%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Muse Wonder and Qwen3.8-Flash-Next?

Muse Wonder supports 1.0M tokens and Qwen3.8-Flash-Next supports an unknown number of 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 Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (47.9 vs 48.3), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder and Qwen3.8-Flash-Next?

Muse Wonder is developed by Meta and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.