SSyncDev

AI model comparison

Llama 4 Scout 17B Instruct vs Muse Spark 1.1

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

Llama 4 Scout 17B Instruct and Muse Spark 1.1 both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

Meta

Llama 4 Scout 17B Instruct

Open Llama with long-context vision for efficient multimodal agents

Context
3.5M
Max output
16.4K
Input / 1M
$0.18
Output / 1M
$0.59
Output speed
—

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profileVendor docs ↗
VS

Meta

Muse Spark 1.1

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Context
1M
Max output
32K
Input / 1M
$1.25
Output / 1M
$4.25
Output speed
—

Accepts

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

Produces

  • Text output
Full model profileVendor docs ↗

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Llama 4 Scout 17B Instruct leads in recorded data

  • Context capacity: 3.5M
  • Input price: $0.18
  • Output price: $0.59

Where Muse Spark 1.1 leads in recorded data

  • Maximum output: 32K

Context capacity

Higher listed limit

Llama 4 Scout 17B Instruct:3.5M

Muse Spark 1.1:1M

Llama 4 Scout 17B Instruct

Maximum output

Higher listed limit

Llama 4 Scout 17B Instruct:16.4K

Muse Spark 1.1:32K

Muse Spark 1.1

Input price

Lower recorded price

Llama 4 Scout 17B Instruct:$0.18

Muse Spark 1.1:$1.25

Llama 4 Scout 17B Instruct

Output price

Lower recorded price

Llama 4 Scout 17B Instruct:$0.59

Muse Spark 1.1:$4.25

Llama 4 Scout 17B Instruct

Output speed

Higher recorded throughput

Llama 4 Scout 17B Instruct:—

Muse Spark 1.1:—

No complete comparison

Time to first token

Lower recorded latency

Llama 4 Scout 17B Instruct:—

Muse Spark 1.1:—

No complete comparison

Intelligence Index

Higher directory index

Llama 4 Scout 17B Instruct:—

Muse Spark 1.1:—

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationLlama 4 Scout 17B InstructMuse Spark 1.1
ProviderMetaMeta
Model familyllamamuse
Accepted inputstext, imagetext, image, pdf, video
Produced outputstexttext
Context window3.5MRecorded lead1M
Max output16.4K32KRecorded lead
Intelligence Index——
Input price / 1M$0.18Recorded lead$1.25
Output price / 1M$0.59Recorded lead$4.25
Output speed——
Time to first token——
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseOpen weightsProprietary
ReleasedApr 5, 2025Apr 8, 2026

Workload guidance

Which model should you choose?

On the published numbers, Llama 4 Scout 17B Instruct accepts the larger context window and Llama 4 Scout 17B Instruct is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

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