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Beam 1.0 vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.6 to 44.6.

Reflection AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 44.6, 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 Beam 1.0

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

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
44.6
#46
52.6
#12
Reasoning
45.5
#37
41.2
#62
Coding
33.7
#39
41.4
#9
Agents
28.8
#53
40.6
#6
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Beam 1.0
Muse Wonder Full
Vision
15.9#105
31.4#31
Tool use
26.4#32
24.7#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 16 for Muse Wonder Full

1 shared

Beam 1.0 outperforms in 0 benchmarks, while Muse Wonder Full is better at 1 benchmark (DeepSWE 1.1).

Muse Wonder Full significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Beam 1.0 does not.

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

Beam 1.0

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Muse Wonder Full uses a proprietary license.

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

Beam 1.0

Apache 2.0

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Muse Wonder Full was released on 2026-10-12.

Beam 1.0 is 0 month newer than Muse Wonder Full.

Beam 1.0

Oct 16, 2026

3 days ago

4d newer
Muse Wonder Full

Oct 12, 2026

1 weeks ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Muse Wonder Full's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

Beam 1.0

Jun 2026

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Muse Wonder Full side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Beam 1.0 vs Muse Wonder Full.

Which is better, Beam 1.0 or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.6 to 44.6. Beam 1.0 is made by Reflection AI 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 Beam 1.0 compare to Muse Wonder Full in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. 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 Beam 1.0 and Muse Wonder Full?

Beam 1.0 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 Beam 1.0 and Muse Wonder Full?

Key differences include LLM Stats Score (44.6 vs 52.6), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Muse Wonder Full?

Beam 1.0 is developed by Reflection AI and Muse Wonder Full is developed by Meta.

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