Meta Superintelligence Labs has released Muse Spark 1.1, a multimodal reasoning model designed for agentic tasks. Key improvements include enhanced tool and computer use, stronger coding performance on large codebases, and better multimodal understanding. The model supports a 1 million token context window, multi-agent orchestration, and zero-shot generalization to new tools and MCP servers. It is available via a new Meta Model API in public preview, with endorsements from Replit and Cline CEOs highlighting its agentic coding capabilities. Safety evaluations were conducted across frontier risk categories including cybersecurity and chemical/biological threats.
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