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Beam 1.0 vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.3 to 44.6.

Reflection AI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.3 to 44.6, ranking #24 overall.

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 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

  • overall performance matters — it scores 49.3 and ranks #24 on LLM Stats
  • your work emphasizes 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.

Core performance indexes
44.6
#46
49.3
#24
45.5
#37
37.8
#82
33.7
#39
38.4
#21
28.8
#53
37.2
#17
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
15.9#105
26.6#53
26.4#32
19.2#74
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 16 for Muse Wonder

1 shared

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

Muse Wonder significantly outperforms across most benchmarks.

Wed Oct 21 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
Input- tokens
Output- tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Muse Wonder 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

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Muse Wonder 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

Proprietary

Closed source

Release Timeline

When each model was launched

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

Beam 1.0 is 0 month newer than Muse Wonder.

Beam 1.0

Oct 16, 2026

3 days ago

4d newer
Muse Wonder

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'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's cutoff date.

Beam 1.0

Jun 2026

Muse Wonder

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Beam 1.0
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about Beam 1.0 vs Muse Wonder.

Which is better, Beam 1.0 or Muse Wonder?

Muse Wonder leads the LLM Stats Score 49.3 to 44.6. Beam 1.0 is made by Reflection AI and Muse Wonder 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 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 scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

What are the context window sizes for Beam 1.0 and Muse Wonder?

Beam 1.0 supports 1.0M tokens and Muse Wonder 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?

Key differences include LLM Stats Score (44.6 vs 49.3), 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?

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