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Muse Spark 1.1 vs Muse Spark Open

Muse Spark 1.1 and Muse Spark Open are closely matched at 48.2 and 44.9 on the LLM Stats Score. Muse Spark 1.1 and Muse Spark Open cost the same.

Meta · Meta · Updated for 2026

Which is better?

Muse Spark 1.1 and Muse Spark Open are closely matched on the overall LLM Stats Score at 48.2 and 44.9.

In the 6 individual benchmarks reported for both models, Muse Spark Open wins 4; 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 Spark Open

  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Spark 1.1
Meta
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
48.2
#30
44.9
#43
Reasoning
49.1
#17
45.2
#39
Coding
31.9
#50
33.0
#42
Agents
32.6
#37
30.6
#43
Cost, coverage & limits
Benchmark wins
2 of 6
4 of 6
Input price
$1.25 / M
$1.25 / M
Output price
$4.25 / M
$4.25 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Muse Spark 1.1
Muse Spark Open
Vision
34.7#14
31.2#34
Tool use
28.9#20
23.3#44
Multimodal
32.7#22
33.1#20
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Muse Spark 1.1 · 17 for Muse Spark Open

6 shared

Muse Spark 1.1 outperforms in 2 benchmarks (OSWorld-Verified, Terminal-Bench 2.1), while Muse Spark Open is better at 4 benchmarks (BabyVision, DeepSWE 1.1, Job Bench, MCP Atlas).

Muse Spark Open shows notably better performance in the majority of benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

For input processing, Muse Spark 1.1 ($1.25/1M tokens) costs the same as Muse Spark Open ($1.25/1M tokens).

For output processing, Muse Spark 1.1 ($4.25/1M tokens) costs the same as Muse Spark Open ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 and Muse Spark Open cost the same.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.

Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Spark 1.1 and Muse Spark Open 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 Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark 1.1 is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Spark 1.1

Proprietary

Closed source

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 3 months newer than Muse Spark 1.1.

Muse Spark 1.1

Jul 9, 2026

3 months ago

Muse Spark Open

Oct 15, 2026

4 days 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

Provider Availability

Muse Spark 1.1 is available from Meta Model API. Muse Spark Open is available from Together.

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M

Muse Spark Open

together logo
Together
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Muse Spark 1.1
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Muse Spark 1.1 vs Muse Spark Open.

Which is better, Muse Spark 1.1 or Muse Spark Open?

Muse Spark 1.1 and Muse Spark Open are closely matched on the LLM Stats Score at 48.2 and 44.9. Muse Spark 1.1 is made by Meta and Muse Spark Open 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 Spark Open 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 Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

Is Muse Spark 1.1 cheaper than Muse Spark Open?

Both models cost $1.25 per million input tokens.

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

Muse Spark 1.1 supports 1.0M tokens and Muse Spark Open 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 1.1 and Muse Spark Open?

Key differences include LLM Stats Score (48.2 vs 44.9), licensing (Proprietary vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

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