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Muse Wonder Full vs Particle-1

Muse Wonder Full leads the LLM Stats Score 52.2 to 31.9.

Meta · Particle AI · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.2 to 31.9, ranking #14 overall.

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.2 and ranks #14 on LLM Stats

Choose Particle-1

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

At a glance

The differences that matter most.

Muse Wonder Full
Meta
Particle-1
Particle AI
Core performance indexes
LLM Stats Score
52.2
#14
31.9
#133
Reasoning
40.4
#67
31.2
#135
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.25 / M
Output price
— / M
$1.00 / M
Context window
—
1,048,576

Individual benchmarks

16 reported for Muse Wonder Full · 3 for Particle-1

No common benchmarks found

Muse Wonder Full and Particle-1don'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 Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder Full and Particle-1 support multimodal inputs.

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

Muse Wonder Full

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Wonder Full

Proprietary

Closed source

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while Particle-1 was released on 2026-10-28.

Particle-1 is 1 month newer than Muse Wonder Full.

Muse Wonder Full

Oct 12, 2026

2 weeks ago

Particle-1

Oct 28, 2026

-2 days ago

2w 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 Muse Wonder Full and Particle-1 side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Muse Wonder Full vs Particle-1.

Which is better, Muse Wonder Full or Particle-1?

Muse Wonder Full leads the LLM Stats Score 52.2 to 31.9. Muse Wonder Full is made by Meta and Particle-1 is made by Particle AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Wonder Full compare to Particle-1 in benchmarks?

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%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

What are the context window sizes for Muse Wonder Full and Particle-1?

Muse Wonder Full supports an unknown number of tokens and Particle-1 supports 1.0M 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 Full and Particle-1?

Key differences include LLM Stats Score (52.2 vs 31.9). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and Particle-1?

Muse Wonder Full is developed by Meta and Particle-1 is developed by Particle AI.

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