Muse Ember now available on AI Gateway

Meta's Muse Ember, a lightweight reasoning model built for high-volume agent sub-tasks such as coding, tool calls and document analysis, is now available on Vercel's AI Gateway under the model name `meta/muse-ember`. The model accepts text, image and video input with a 1M-token context window, supports tool calling, and offers adjustable reasoning effort from `minimal` to `max`, and can be called through the AI SDK, Chat Completions, Responses and Anthropic Messages APIs or from coding agents including Claude Code, Codex and Cursor. Vercel said AI Gateway reflects provider pricing with no markup and charges no platform fee on inference, including on Bring Your Own Key requests.

Muse Ember https://vercel.com/ai-gateway/models/muse-ember from Meta https://vercel.com/ai-gateway/models/providers/meta is now available on AI Gateway https://vercel.com/ai-gateway . It is a lightweight reasoning model for the high-volume parts of an agent run, such as coding sub-tasks, tool calls, and document analysis. Muse Ember handles the bounded tasks agents repeat many times in a single run, like implementing a helper function, calling a tool, or summarizing a document. The model accepts text, image, and video input with a 1M-token context window, so an agent can pass it code, screenshots, documents, and clips in the same run. Tool calling lets your application feed each result into the next step. Reasoning effort is adjustable from minimal to max . Call it through the AI SDK https://vercel.com/docs/ai-gateway/sdks-and-apis/ai-sdk , the Chat Completions https://vercel.com/docs/ai-gateway/sdks-and-apis/openai-chat-completions , Responses https://vercel.com/docs/ai-gateway/sdks-and-apis/responses , and Anthropic Messages https://vercel.com/docs/ai-gateway/sdks-and-apis/anthropic-messages-api APIs, or a coding agent https://vercel.com/docs/ai-gateway/coding-agents connected to AI Gateway. Use meta/muse-ember as the model name: To use it in Claude Code, Codex, Cursor, and more, install the latest Vercel CLI and run setup: Then select meta/muse-ember in the agent. See the coding agents guide https://vercel.com/docs/ai-gateway/coding-agents for details. Try Muse Ember in the model playground https://vercel.com/ai-gateway/models/muse-ember . AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting https://vercel.com/changelog/custom-reporting-ai-gateway , Zero Data Retention support https://vercel.com/blog/zdr-on-ai-gateway , budgets for API keys https://vercel.com/docs/ai-gateway/authentication-and-byok/api-keys , routing rules https://vercel.com/docs/ai-gateway/models-and-providers/routing-rules , and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key https://vercel.com/docs/ai-gateway/authentication-and-byok/byok BYOK requests. You can view all language models https://vercel.com/ai-gateway/models?type=text available on AI Gateway.