Meta's official API for accessing its model inference services.
Meta released Muse Ember, its smallest model to date, claiming intelligence on par with Claude Haiku 5.5 at roughly one-third the cost. It targets token-heavy agent workloads such as tool calls, coding subtasks, routing, extraction and long-document parsing, and is available now on the Meta Model API and in Muse Code. Pricing is $0.10 input and $0.50 output per 1M tokens up to 200K tokens, rising to $0.30 and $1.50 beyond that.
Meta has launched Muse Ember, its smallest and most efficient model yet, purpose-built for the routine work AI agents do all day: tool calling, small coding tasks, request routing, data extraction and long-document processing. Meta claims it delivers more intelligence per dollar at every reasoning level than Claude Haiku 5.5 or GPT-6 Luna, at roughly $0.14 per task, though Haiku still leads on real coding benchmarks. The multimodal model handles up to one million tokens and is available now via the Meta Model API and Muse Code at $0.10 per million input tokens and $0.50 per million output tokens.