Kimi K2.5 Now on Cloudflare Workers AI — Frontier Open Model on Edge Infrastructure with 77% Cost Savings

Cloudflare added Moonshot AI's Kimi K2.5 to Workers AI on March 19, making it the first frontier-scale open-source model available on edge compute with a full 256K context window, multi-turn tool calling, vision inputs, and structured outputs (Cloudflare Blog). Cloudflare reports 77% cost savings ($2.4M/year on a single workload) versus mid-tier proprietary models, with prefix caching and session affinity exposed as first-class features.

Kimi K2.5 is a 1T-parameter MoE model (32B active, released January 2026) with agent swarm capability that can self-direct up to 100 sub-agents. The validation from Cursor is the real signal here — a screenshot circulating on r/LocalLLaMA (232 upvotes) shows Cursor officially designating Kimi K2.5 as the best open-source model available in its platform. A major IDE endorsing a Chinese lab's model over Meta and Mistral offerings is a meaningful shift.

The edge deployment angle matters for anyone building agentic workloads. Running a capable model on globally distributed infrastructure without managing GPU clusters changes the economics of agent deployment from "provision a GPU fleet" to "call a function." Cline CLI 2.0 already includes it as a free default. The model is also accessible on Labla AI and OpenRouter.

This is what "open model wins" looks like in practice: a Chinese lab ships a frontier model, an American CDN distributes it globally at a fraction of proprietary cost, and an IDE company endorses it over models from companies that raised ten times more capital.