Kimi K2.5 is now on Workers AI, helping you power agents entirely on Cloudflare’s Developer Platform. Learn how we optimized our inference stack and reduced inference costs for internal agent use cases.

Cloudflare's platform is a leading provider of internet security and performance solutions, offering insights into web security, content delivery, and DNS management. Through documentation, blog posts, and webinars, Cloudflare provides insights into protecting websites and applications from cyber threats and improving performance. Developers and IT professionals can learn about CDN (Content Delivery Network), DDoS mitigation, and firewall configurations to secure and accelerate web traffic.

Cloudflare

Cloudflare's Workers AI now supports large frontier-scale models, launching with Moonshot AI's Kimi K2.5 (256k context, multi-turn tool calling, vision inputs). Cloudflare tested the model internally for agentic coding tasks and automated code review, reporting a 77% cost reduction versus mid-tier proprietary models for a security review agent processing 7B tokens/day. To support large models, Cloudflare built custom kernels on their Infire inference engine and implemented techniques like disaggregated prefill and tensor/expert parallelism. Two new platform features accompany the launch: prefix caching with session affinity headers (via x-session-affinity) to reduce TTFT and costs on multi-turn conversations, and a revamped asynchronous API using a pull-based queue system to handle high-volume, non-real-time workloads without capacity errors.

Powering the agents: Workers AI now runs large models, starting with Kimi K2.5

Beyond the model — platform improvements for agentic workloads