Muse Spark 1.2

by Meta Intelligent Reasoning Agentic Multimodal Long Context

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context window. The model is built to support multi-agent workflows, whether as either a main agent that plans and delegates or as a subagent executing in parallel. It works across multiple coding harnesses and supports structured output, parallel function calling, and configurable reasoning effort. In Meta’s testing,

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Specifications

Specifications for Muse Spark 1.2
LabMeta
Context window1M tokens
Input price $1.25/1M
Output price $4.25/1M
ReleaseAug 2026

Strengths

  • Supports text and image input with text output
  • Supports video input for multimodal analysis
  • Million-token context window for very long tasks
  • Tool-use support for agentic workflows

Weaknesses

  • Newer listing with limited independent benchmark coverage
  • Multimodal performance may vary by provider endpoint

Best for

  • Agentic workflows and tool-using applications
  • Multimodal document and screenshot analysis
  • Long-context document and codebase processing

In Depth: Muse Spark 1.2

Summary

Muse Spark 1.2 is an AI model from Meta.

Released in Aug 2026. It takes text, image, video, file, and audio input and produces text output, with a context window of 1M tokens. Input pricing is $1.25 per 1M tokens and output is $4.25 per 1M tokens on OpenRouter.

Sources & Further Reading

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