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Muse Spark vs Muse Spark 1.1

Muse Spark 1.1 leads the LLM Stats Score 49.5 to 41.7.

Meta · Meta · Updated for 2026

Which is better?

Muse Spark 1.1 leads the overall LLM Stats Score 49.5 to 41.7, ranking #20 overall.

In the 3 individual benchmarks reported for both models, Muse Spark 1.1 wins 3; 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

  • you are already invested in the Meta ecosystem

Choose Muse Spark 1.1

  • overall performance matters — it scores 49.5 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jul 2026

At a glance

The differences that matter most.

Muse Spark
Meta
Muse Spark 1.1
Meta
Core performance indexes
LLM Stats Score
41.7
#53
49.5
#20
Reasoning
40.6
#53
49.9
#14
Coding
23.1
#79
34.5
#34
Agents
14.3
#93
34.4
#25
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Muse Spark
Muse Spark 1.1
Vision
31.2#26
34.8#11
Tool use
16.2#82
29.2#10
Multimodal
32.4#21
33.5#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Muse Spark · 11 for Muse Spark 1.1

3 shared

Muse Spark outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 3 benchmarks (CharXiv-R, Humanity's Last Exam, SWE-Bench Pro).

Muse Spark 1.1 significantly outperforms across most benchmarks.

Tue Sep 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 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
Input- tokens
Output- tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark and Muse Spark 1.1 support multimodal inputs.

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

Muse Spark

Text
Images
Audio
Video

Muse Spark 1.1

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 Spark

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark was released on 2026-04-08, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 3 months newer than Muse Spark.

Muse Spark

Apr 8, 2026

5 months ago

Muse Spark 1.1

Jul 9, 2026

2 months 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Muse Spark and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Muse Spark
✓ Preferred
Muse Spark 1.1
Open in Playground

FAQ

Common questions about Muse Spark vs Muse Spark 1.1.

Which is better, Muse Spark or Muse Spark 1.1?

Muse Spark 1.1 leads the LLM Stats Score 49.5 to 41.7. Muse Spark is made by Meta and Muse Spark 1.1 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 compare to Muse Spark 1.1 in benchmarks?

Muse Spark scores Tau2 Telecom: 91.5%, GPQA: 89.5%, CharXiv-R: 86.4%, ScreenSpot Pro: 84.1%, IPhO 2025: 82.6%. 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%.

What are the context window sizes for Muse Spark and Muse Spark 1.1?

Muse Spark supports an unknown number of tokens and Muse Spark 1.1 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 Spark and Muse Spark 1.1?

Key differences include LLM Stats Score (41.7 vs 49.5). See the full comparison above for benchmark-by-benchmark results.

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