SSyncDev

AI model comparison

Llama 4 Scout 17B Instruct vs Muse Spark 1.1

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

Llama 4 Scout 17B Instruct from Meta lists 10M context, 16.38K maximum output, $0.18 input per 1M tokens, $0.59 output per 1M tokens. Muse Spark 1.1 from Meta lists 1.05M context, 131.07K maximum output, from $1.25 input per 1M tokens, from $4.25 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Meta

Llama 4 Scout 17B Instruct

Llama 4 Scout 17B Instruct from Meta: Open Llama with long-context vision for efficient multimodal agents.

Context
10M
Max output
16.38K
Input / 1M tokens
$0.18
Output / 1M tokens
$0.59

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profilegithub.com ↗
VS

Meta

Muse Spark 1.1

Muse Spark 1.1 is Meta’s multimodal reasoning model for tool-assisted coding and agent workflows, with Standard API pricing and a 1M-token context.

Context
1.05M
Max output
131.07K
Input / 1M tokens
From $1.25
Output / 1M tokens
From $4.25

Pricing conditions: Standard mode costs $1.25/M input, $0.15/M cached input and $4.25/M output, without a long-context premium. Version 1.1 has no Contributor variant and is not available in Muse Code. Search grounding costs $2.50 per 1,000 queries.

Accepts

  • Text input
  • Image input
  • Video input
  • Audio input
  • PDF input

Produces

  • Text output
Full model profiledev.meta.ai ↗

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

Llama 4 Scout 17B Instruct

  • Context capacity: 10M

Muse Spark 1.1

  • Maximum output: 131.07K

Context capacity

Higher listed limit

Llama 4 Scout 17B Instruct:10M

Muse Spark 1.1:1.05M

Llama 4 Scout 17B Instruct

Maximum output

Higher listed limit

Llama 4 Scout 17B Instruct:16.38K

Muse Spark 1.1:131.07K

Muse Spark 1.1

Specifications

Pricing, limits and capabilities

Specifications for Llama 4 Scout 17B Instruct and Muse Spark 1.1. Higher limits and lower prices describe these figures only.
SpecificationLlama 4 Scout 17B InstructMuse Spark 1.1
ProviderMetaMeta
Listed pricing routeMetaMeta Model API
Model familyllamamuse
Accepted inputstext, imagetext, image, video, audio, pdf
Produced outputstexttext
Context window10MHigher1.05M
Max output16.38K131.07KHigher
Input price / 1M$0.18From $1.25
Output price / 1M$0.59From $4.25
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedDocumented
LicenseOpen weightsProprietary

Workload guidance

Which model should you choose?

Consider Llama 4 Scout 17B Instruct if you need larger context. Consider Muse Spark 1.1 if you need larger maximum output. Llama 4 Scout 17B Instruct offers downloadable weights; Muse Spark 1.1 is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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