LLM Reference

Using Muse Spark 1.3 on Meta Model API

Implementation guide · Muse · AI at Meta

Serverless

Meta Model API exposes Muse Spark 1.3 through model ID muse-spark-1.3. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-02. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Meta Model API and generate an API key.
  2. 2
    Use the Meta Model API SDK or REST API to call muse-spark-1.3 — see the documentation for request format.
  3. 3
    You'll be billed $1.25/1M input, $4.25/1M output tokens. See full pricing.

Code Examples

See Meta Model API documentation for integration details.

Pricing on Meta Model API

TypePrice (per 1M)
Input tokens$1.25
Output tokens$4.25

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About Muse Spark 1.3

Muse Spark 1.3 is Meta Superintelligence Labs' latest Muse Spark checkpoint, released September 2, 2026. Official Meta Model API model ID: muse-spark-1.3. First-party models docs: the latest version, recommended for new work, tuned for agentic workflows (multi-step tool, browser, and long-horizon tasks) with improved coding over 1.2; default model in docs examples. Product line (dev.meta.ai): Built for long-horizon coding and agentic work. Cleaner code, fewer tokens. First-party research post: rolling out today in Muse Code and Meta Model API; previously available reasoning modes available today with max reasoning coming shortly after additional safety testing.

Model Specs

Released2026-09-02
Context1.05m

Provider

Meta Model API

Meta