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Laguna S 2.1 vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.6 to 39.7.

Poolside · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 39.7, ranking #12 overall.

In the 1 individual benchmarks reported for both models, Muse Wonder Full 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 Laguna S 2.1

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.6 and ranks #12 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • 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

At a glance

The differences that matter most.

Laguna S 2.1
Poolside
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
39.7
#73
52.6
#12
Reasoning
39.7
#71
41.2
#62
Coding
29.1
#69
41.4
#9
Agents
23.3
#75
40.6
#6
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Laguna S 2.1
Muse Wonder Full
Tool use
15.3#106
24.7#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Laguna S 2.1 · 16 for Muse Wonder Full

1 shared

Laguna S 2.1 outperforms in 0 benchmarks, while Muse Wonder Full is better at 1 benchmark (DeepSWE 1.1).

Muse Wonder Full significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Laguna S 2.1 specifies input context (1,048,576 tokens).

Poolside
Laguna S 2.1
Input1,048,576 tokens
Output- tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Laguna S 2.1 does not.

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

Laguna S 2.1

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Laguna S 2.1 is licensed under OpenMDW License v1.1, while Muse Wonder Full uses a proprietary license.

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

Laguna S 2.1

OpenMDW License v1.1

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Laguna S 2.1 was released on 2026-07-21, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 3 months newer than Laguna S 2.1.

Laguna S 2.1

Jul 21, 2026

3 months ago

Muse Wonder Full

Oct 12, 2026

1 weeks ago

2mo 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 Laguna S 2.1 and Muse Wonder Full side-by-side, then vote on the output you prefer.

Laguna S 2.1
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Laguna S 2.1 vs Muse Wonder Full.

Which is better, Laguna S 2.1 or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.6 to 39.7. Laguna S 2.1 is made by Poolside 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 Laguna S 2.1 compare to Muse Wonder Full in benchmarks?

Laguna S 2.1 scores SWE-bench Multilingual: 78.5%, Terminal-Bench 2.1: 70.2%, SWE-Bench Pro: 59.4%, Toolathlon: 49.7%, SWE Atlas - Codebase QnA: 46.2%. 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 Laguna S 2.1 and Muse Wonder Full?

Laguna S 2.1 supports 1.0M 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 Laguna S 2.1 and Muse Wonder Full?

Key differences include LLM Stats Score (39.7 vs 52.6), multimodal support (no vs yes), licensing (OpenMDW License v1.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Laguna S 2.1 and Muse Wonder Full?

Laguna S 2.1 is developed by Poolside and Muse Wonder Full is developed by Meta.

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