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Muse Spark 1.2

Muse Spark 1.2 is Meta's coding-focused reasoning model for complex agentic tasks, reading text, images, video, audio, and PDFs across a context window of 1.0M tokens. Your use is subject to Meta's Terms & Privacy Policies.

ReasoningTool UseImplicit CachingFile InputVision (Image)
Use with AI GatewayView docs
import { streamText } from 'ai'


const result = streamText({
  model: 'meta/muse-spark-1.2',
  prompt: 'Why is the sky blue?'
})
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Copy link to headingAbout Muse Spark 1.2

Muse Spark 1.2 is Meta's reasoning model for complex agentic tasks, and the coding-focused successor to Muse Spark 1.1. It accepts text, images, video, audio, and PDF documents, returns text, and works within a context window of 1.0M tokens.

Multi-agent work is the design centre. Muse Spark 1.2 runs either as a main agent that plans and delegates, or as a subagent executing in parallel, and it was built around harness patterns like context compaction, whole-repository work, and long-running tasks. That shows up as durability across long sessions rather than as a single benchmark number.

Support covers structured output, parallel function calling, and configurable reasoning effort, and the model works across multiple coding harnesses rather than assuming one.

A second slug, muse-spark-1.2-contributor, serves these same weights at a much lower rate in exchange for Meta training on your inputs and outputs. Choose between them on data governance first and price second. See the comparison on that model's page.

You can integrate Muse Spark 1.2 through AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.