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Llama 4 Scout vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 7.8.

Meta · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 7.8, ranking #13 overall.

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

Choose Llama 4 Scout

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Llama 4 Scout
Meta
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
7.8
#299
52.1
#13
Reasoning
6.6
#302
38.4
#71
Coding
0.3
#255
41.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.08 / M
— / M
Output price
$0.30 / M
— / M
Context window
10,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Llama 4 Scout
Muse Wonder Full
Vision
9.8#135
31.7#28
Multimodal
12.9#115
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Llama 4 Scout · 16 for Muse Wonder Full

No common benchmarks found

Llama 4 Scout and Muse Wonder Fulldon'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 Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 4 Scout and Muse Wonder Full support multimodal inputs.

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

Llama 4 Scout

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Muse Wonder Full uses a proprietary license.

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

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 19 months newer than Llama 4 Scout.

Llama 4 Scout

Apr 5, 2025

1.5 years ago

Muse Wonder Full

Oct 12, 2026

0 days ago

1.5yr newer

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 Llama 4 Scout and Muse Wonder Full side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Llama 4 Scout vs Muse Wonder Full.

Which is better, Llama 4 Scout or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 7.8. Llama 4 Scout is made by Meta and Muse Wonder Full is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 4 Scout compare to Muse Wonder Full in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. 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%.

What are the context window sizes for Llama 4 Scout and Muse Wonder Full?

Llama 4 Scout supports 10.0M tokens and Muse Wonder Full 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 Llama 4 Scout and Muse Wonder Full?

Key differences include LLM Stats Score (7.8 vs 52.1), licensing (Llama 4 Community License Agreement vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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