Muse Spark 1.1 — AI Model Review & Pricing

by Meta Intelligent Reasoning Coding Agentic Multimodal Image Input Video Input Long Context

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

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Specifications

Specifications for Muse Spark 1.1
AttributeValue
Lab Meta
Tags Intelligent Reasoning Coding Agentic Multimodal Image Input Video Input Long Context
Release Date 2026-07
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 1.1

Summary

Muse Spark 1.1 is an AI model from Meta.

Released 2026-07. 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.

Sources & Further Reading

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