Kimi K3.1 Pro and Kimi K3.1 Pro Highspeed are available now in AI Gateway

Moonshot AI's Kimi K3.1 Pro and a faster Kimi K3.1 Pro Highspeed variant are now available on Vercel's AI Gateway, callable via the AI SDK, Chat Completions, Responses and Anthropic Messages APIs under the model name moonshotai/kimi-k3.1-pro. The first model in Moonshot's K3.1 series builds on Kimi K3 with improvements in coding, 3D modeling, financial analysis and agentic tasks, and retains a 1M-token context window and image input. Moonshot AI plans to release the model weights by November 4, with support for more providers to follow.

Kimi K3.1 Pro https://vercel.com/ai-gateway/models/kimi-k3.1-pro from Moonshot AI https://vercel.com/ai-gateway/models/providers/moonshotai is now available on AI Gateway https://vercel.com/ai-gateway , along with Kimi K3.1 Pro Highspeed https://vercel.com/ai-gateway/models/kimi-k3.1-pro-highspeed , a faster version for interactive use. K3.1 Pro is the first model in Moonshot's K3.1 series. It builds on Kimi K3 https://vercel.com/ai-gateway/models/kimi-k3 with improvements in coding, 3D modeling, financial analysis, and agentic tasks, and keeps the 1M-token context window and image input. For coding, K3.1 Pro handles work ranging from small fixes in an existing codebase to building a full project, including long agent runs with many steps. It builds front-end pages and interactive scenes with stronger typography and animation than earlier Kimi models. In finance, it can carry a task from start to finish, such as building a linked financial model with adjustable assumptions and scenarios, or writing research grounded in source documents. K3.1 Pro makes fewer factual errors than earlier Kimi models on difficult prompts. Moonshot AI plans to release the model weights by November 4: support for more providers will follow. Call either model 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. For Highspeed, use moonshotai/kimi-k3.1-pro-highspeed in place of the model name below. Use moonshotai/kimi-k3.1-pro as the model name: To use it in Claude Code, Codex, Cursor, and more, install the latest Vercel CLI and run setup: Then select moonshotai/kimi-k3.1-pro or moonshotai/kimi-k3.1-pro-highspeed in the agent. See the coding agents guide https://vercel.com/docs/ai-gateway/coding-agents for details. Try Kimi K3.1 Pro in the model playground https://vercel.com/ai-gateway/models/kimi-k3.1-pro . 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.