Meta: Muse Spark 1.1

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

Input: $1.25/1M Output: $4.25/1M Context: 1,048,576 tokens Rank: #39
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