What changed
At Meta Connect 2026, Meta formally released the Meta Model API as generally available globally (out of limited beta), introduced Muse Spark 1.3 as the new flagship agentic/coding model with a 1M-token context window, released Muse Code out of beta for long-horizon engineering workflows, and published Muse Glimmer 30B as an open-weights model (Apache 2.0) for self-hosting.
TL;DR
Meta's developer API is now GA with four model tiers, pricing from $0.10/MTok (contributor endpoint) to $4.25/MTok output for Spark 1.3, and a 1M-context open-weights option for single-GPU hosting.
Developer signal
(1) Meta Model API is now a GA option. Base URL is https://api.meta.ai/v1 with an OpenAI-compatible endpoint, so existing code using the OpenAI client library can point at it with a credential swap. Muse Spark 1.3 (standard tier): $1.25/MTok input, $4.25/MTok output, $0.15/MTok cached read, 1M context. The contributor tier ($0.10/$0.20 per MTok input/output) lets Meta use your prompts and completions for training โ read your data policy before using contributor in production. (2) Muse Code is out of beta. Previously invite-only, Muse Code is now available to all API users. It's positioned for long-horizon autonomous engineering tasks โ agentic code generation, test generation, and codebase-scale refactoring. Anthropic Compliance API users: if you're running Claude and Muse Code side-by-side, the activity feed architecture is now relevant for both providers. (3) Muse Glimmer 30B is the open-weights option: Apache 2.0, optimized for single-GPU or Mac Mini deployment via vLLM, SGLang, llama.cpp, or ExecuTorch. At 30B parameters, it's a viable local fallback for MCP tool-routing tasks where latency matters more than peak reasoning. (4) Documentation at dev.meta.ai/docs โ the API surface is similar to OpenAI's; tool use, streaming, vision, and audio are supported. Enterprise tier (compliance, SLA, private deployment) available via Meta's first-party enterprise program.