Muse Spark 1.1 is now available on AI Gateway

Meta released Muse Spark 1.1, a multimodal reasoning model with a 1M token context window, now available on Vercel's AI Gateway. The model supports text, image, video, PDF, and audio inputs, and is designed for agentic tasks including tool orchestration and parallel tool calling. AI Gateway offers unified API access with usage tracking, cost management, and performance optimizations.

Muse Spark 1.1 from Meta is now available on AI Gateway https://vercel.com/ai-gateway . It is a multimodal reasoning model with a 1M token context window built for agentic tasks, accepting text, image, video, PDF, and audio inputs. Muse Spark 1.1 plans and orchestrates work across tools and services, operating as a main agent or as a subagent, and it works with new tools, MCP servers, and custom skills without examples. The model supports parallel tool calling, structured output, and built-in search with citations. To use Muse Spark 1.1, set model to meta/muse-spark-1.1 in the AI SDK https://ai-sdk.dev/ : 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. Try Muse Spark 1.1 in the model playground https://vercel.com/ai-gateway/models/muse-spark-1.1 .