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Llama 4 Scout vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 45.3 to 7.3. Llama 4 Scout is 14.8x cheaper per token.

Meta · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 7.3, ranking #42 overall.

In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 4 Scout is roughly 14.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Llama 4 Scout

  • cost matters — it's about 14.8x cheaper per token
  • you process long inputs — it offers a 10,000,000 token context window

Choose Muse Spark Open

  • overall performance matters — it scores 45.3 and ranks #42 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • 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.

Llama 4 Scout
Meta
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
7.3
#309
45.3
#42
Reasoning
6.1
#312
45.7
#35
Coding
0.3
#263
33.5
#40
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.08 / M
$1.25 / M
Output price
$0.30 / M
$4.25 / M
Context window
10,000,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 4 Scout
Muse Spark Open
Math
12.8#243
33.3#58
Vision
9.7#144
31.3#33
Multimodal
12.9#121
33.1#20
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Llama 4 Scout · 17 for Muse Spark Open

1 shared

Llama 4 Scout outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Llama 4 Scout ($0.08/1M tokens) is 15.6x cheaper than Muse Spark Open ($1.25/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 14.2x cheaper than Muse Spark Open ($4.25/1M tokens).

In conclusion, Muse Spark Open is more expensive than Llama 4 Scout.*

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

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Meta
Muse Spark Open
Input tokens$1.25
Output tokens$4.25
Best providerTogether
Notice missing or incorrect data?

Model Size

Parameter count comparison

707.0B diff

Muse Spark Open has 707.0B more parameters than Llama 4 Scout, making it 648.6% larger.

Meta
Llama 4 Scout
109.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
109.0B
Llama 4 Scout
816.0B
Muse Spark Open

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Muse Spark Open's 1,048,576 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Muse Spark Open is limited to 1,048,576 tokens.

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 4 Scout and Muse Spark Open support multimodal inputs.

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

Llama 4 Scout

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Muse Spark Open uses Muse Model License.

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

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 19 months newer than Llama 4 Scout.

Llama 4 Scout

Apr 5, 2025

1.5 years ago

Muse Spark Open

Oct 15, 2026

4 days ago

1.5yr 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

Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Muse Spark Open is available from Together.

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M

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 Llama 4 Scout and Muse Spark Open side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Llama 4 Scout vs Muse Spark Open.

Which is better, Llama 4 Scout or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 45.3 to 7.3. Llama 4 Scout 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 Llama 4 Scout compare to Muse Spark Open in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. 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 Llama 4 Scout cheaper than Muse Spark Open?

Llama 4 Scout is 15.6x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Muse Spark Open costs $1.25/M input and $4.25/M output via together.

What are the context window sizes for Llama 4 Scout and Muse Spark Open?

Llama 4 Scout supports 10.0M 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 Llama 4 Scout and Muse Spark Open?

Key differences include LLM Stats Score (7.3 vs 45.3), context window (10.0M vs 1.0M), input pricing ($0.08 vs $1.25/M), licensing (Llama 4 Community License Agreement vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

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