Meta: Muse Spark 1.2
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 Metaâs testing,
Specifications
| Attribute | Value |
|---|---|
| Lab | Meta |
| Tags | Intelligent Reasoning Agentic Multimodal Long Context |
| Release Date | 2026-08 |
| Context Window | 1,048,576 tokens |
| Input Price / 1M | $1.25 |
| Output Price / 1M | $4.25 |
| Input Modalities | Text, Image, Video, File, Audio |
| Output Modalities | Text |
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 2026-08. It supports Text, Image, Video, File, Audio input and produces Text output, with a context window of 1,048,576 tokens. Input pricing is $1.25 per 1M tokens and output is $4.25 per 1M tokens on OpenRouter.