Safeguard

Meta: Muse Spark 1.3

meta/muse-spark-1.3Available via Safeguard
Public cloudPrivate cloud

Use with Safeguard

Muse Spark 1.3 is available via Safeguard. Leave your work email and we will enable it for your workspace.

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Modality
Text and image
Context
1,048,576 tokens
Input
$1.25 / 1M tokens
Output
$4.25 / 1M tokens

Overview

Meta's hosted model on Meta Model API for agentic and coding work, with text, image, video and PDF input.

Provider
Meta
Modality
Text and image
Input
text, image, video, audio, file
Output
text
Weights
Closed
Supported parameters
tools, structured_outputs, reasoning, web_searchProvider's model page, checked .
Distillable
NoLicence or terms, checked .
Tags
coding, agents, multimodal, long-context

Data policy

Prompts go to
Meta (Meta Model API)
Retention
Standard tier: prompts and completions not used to train Meta models, Contributor tier allows training in exchange for lower prices. No retention period published in the API docs
Zero data retention
Not stated by the provider
Region
Not stated

Summarised from the provider's published terms. The provider's own policy is what applies.

Where you can run it

How Muse Spark 1.3 can be deployed, bought and reached through Safeguard.

Deployment
Public cloudPrivate cloud
Procurement
Not published yet
Inference regions
Not published yet

Closed weights stay with the provider, so this model runs in the provider's cloud, never on-prem or air-gapped.

Pricing

ProviderInput / 1M tokensOutput / 1M tokensContext
Meta$1.25$4.251.05M
Notes
Standard tier (no training on your data). Cached input $0.15. No long-context premium. Contributor tier (muse-spark-1.3-contributor) is $0.10 / $0.20 in exchange for allowing training. Audio input not fully supported on 1.3.
Source
Meta pricing , last verified October 8, 2026

No markup on model usage: you pay the provider's list price.

API

OpenAI-compatible. Your API key and access to this model are set up for your workspace when you choose Use with Safeguard.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.safeguard.sh/gpt/v1",
    api_key="SAFEGUARD_API_KEY",
)

response = client.chat.completions.create(
    model="meta/muse-spark-1.3",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Base URL https://api.safeguard.sh/gpt/v1, model meta/muse-spark-1.3.

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