Meta launches Muse Spark 1.1, a multimodal reasoning model for agentic tasks

Introducing Muse Spark 1.1

Meta Superintelligence Labs released Muse Spark 1.1, a multimodal reasoning model with major gains in tool use, computer use, and coding. It zero-shot generalizes to new tools and MCP servers, manages a 1M-token context window, and compacts memory to keep critical steps. The model orchestrates multi-agent systems, delegating tasks to parallel subagents to cut end-to-end latency. Coding improvements cover bug fixes, feature additions, and large code migrations in complex codebases. It is live in Meta AI's Thinking mode and in the new Meta Model API public preview.

Why it matters: Meta Superintelligence Labs ships Muse Spark 1.1 with concrete tool-use and computer-use upgrades, backed by a 1M-token context window and zero-training MCP server adaptation. No benchmark comparisons or pricing disclosed, so it stays below 85, but agent builders will test it ...