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Muse Spark 1.1 vs Muse Wonder

Muse Spark 1.1 and Muse Wonder are closely matched at 48.2 and 49.2 on the LLM Stats Score.

Meta · Meta · Updated for 2026

Which is better?

Muse Spark 1.1 and Muse Wonder are closely matched on the overall LLM Stats Score at 48.2 and 49.2.

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 Muse Spark 1.1

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

Choose Muse Wonder

  • 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 1.1
Meta
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
48.2
#30
49.2
#25
Reasoning
49.1
#17
37.7
#81
Coding
31.9
#50
38.2
#21
Agents
32.6
#37
37.2
#17
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
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Muse Spark 1.1
Muse Wonder
Vision
34.7#14
26.6#53
Tool use
28.9#20
19.1#75
Multimodal
32.7#22
26.6#53
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Muse Spark 1.1 · 16 for Muse Wonder

1 shared

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

Muse Wonder significantly outperforms across most benchmarks.

Mon Oct 19 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 1.1 specifies input context (1,048,576 tokens). Only Muse Spark 1.1 specifies output context (131,072 tokens).

Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Meta
Muse Wonder
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.1 and Muse Wonder support multimodal inputs.

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

Muse Spark 1.1

Text
Images
Audio
Video

Muse Wonder

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 1.1

Proprietary

Closed source

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 3 months newer than Muse Spark 1.1.

Muse Spark 1.1

Jul 9, 2026

3 months ago

Muse Wonder

Oct 12, 2026

1 weeks ago

3mo 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 1.1 and Muse Wonder side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about Muse Spark 1.1 vs Muse Wonder.

Which is better, Muse Spark 1.1 or Muse Wonder?

Muse Spark 1.1 and Muse Wonder are closely matched on the LLM Stats Score at 48.2 and 49.2. Muse Spark 1.1 is made by Meta 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 Muse Spark 1.1 compare to Muse Wonder in benchmarks?

Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%. 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 Muse Spark 1.1 and Muse Wonder?

Muse Spark 1.1 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 Muse Spark 1.1 and Muse Wonder?

Key differences include LLM Stats Score (48.2 vs 49.2). See the full comparison above for benchmark-by-benchmark results.

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