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Muse Spark 1.3 vs Muse Wonder Full

Muse Spark 1.3 and Muse Wonder Full are closely matched at 52.4 and 52.1 on the LLM Stats Score.

Meta · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 and Muse Wonder Full are closely matched on the overall LLM Stats Score at 52.4 and 52.1.

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 Muse Spark 1.3

  • you want predictable pricing at $1.25/M input and $4.25/M output

Choose Muse Wonder Full

  • 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.

Muse Spark 1.3
Meta
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
52.4
#11
52.1
#13
Reasoning
51.1
#12
38.4
#71
Coding
38.5
#20
41.5
#8
Agents
37.6
#12
38.5
#8
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$1.25 / M
— / M
Output price
$4.25 / M
— / M
Context window
1,048,576
—

Individual benchmarks

11 reported for Muse Spark 1.3 · 16 for Muse Wonder Full

1 shared

Muse Spark 1.3 outperforms in 0 benchmarks, while Muse Wonder Full is better at 1 benchmark (DeepSWE 1.1).

Muse Wonder Full significantly outperforms across most benchmarks.

Tue Oct 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.3 and Muse Wonder Full support multimodal inputs.

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

Muse Spark 1.3

Text
Images
Audio
Video

Muse Wonder Full

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 Spark 1.3

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.3 was released on 2026-09-02, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 1 month newer than Muse Spark 1.3.

Muse Spark 1.3

Sep 2, 2026

1 months ago

Muse Wonder Full

Oct 12, 2026

0 days ago

1mo 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 Spark 1.3 and Muse Wonder Full side-by-side, then vote on the output you prefer.

Muse Spark 1.3
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Muse Spark 1.3 vs Muse Wonder Full.

Which is better, Muse Spark 1.3 or Muse Wonder Full?

Muse Spark 1.3 and Muse Wonder Full are closely matched on the LLM Stats Score at 52.4 and 52.1. Muse Spark 1.3 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 Muse Spark 1.3 compare to Muse Wonder Full in benchmarks?

Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%. 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 Muse Spark 1.3 and Muse Wonder Full?

Muse Spark 1.3 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 Muse Spark 1.3 and Muse Wonder Full?

Key differences include LLM Stats Score (52.4 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

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