Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context window. The model is designed to orchestrate multi-agent workflows, acting as either a main agent that plans and delegates or as a subagent, and generalizes zero-shot to new tools, MCP servers, and custom skills. It supports structured output, parallel function calling, built-in search with citations, and configurab
Specifications
| Lab | Meta |
|---|---|
| Context window | 1M tokens |
| Input price | $1.25/1M |
| Output price | $4.25/1M |
| Release | Jul 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 1.1
Summary
Muse Spark 1.1 is an AI model from Meta.
Released in Jul 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.