Cloudflare cuts AI processing costs by 77 percent with new model
Cloudflare has launched the Kimi K2.5 model on its Workers AI platform. This open-source option reduces inference costs by 77 percent compared to mid-tier proprietary models. It supports a 256,000 token context window, tool calling, and structured outputs. A security agent now processes 7 billion tokens daily using the model. Workers AI as a whole handles 51.47 billion input tokens each month. The model works best for lighter tasks such as documentation processing. Frontier models remain available for more complex reasoning needs.
Managers faced steep bills for reliable AI at scale, often sticking to manual processes or skimping on volume to avoid costs. This led to persistent prompt fatigue, as workers tweaked inputs endlessly for usable outputs on pricey platforms. Kimi K2.5 changes that by matching frontier capabilities at a fraction of the price, enabling constant high-volume runs without budget strain. Long context windows cut the need for repeated refinements, directly easing cognitive drain in daily workflows.
Analysis
This is your low-risk shot to kill prompt fatigue on repetitive tasks like report analysis, without touching code or risking data leaks in proprietary black boxes. Grab Workers AI's free tier today and feed your next weekly summary through Kimi K2.5—clock the time saved against your usual QA grind, then bake it into your no-code stack if it sticks.
Pulse published by Collab365 Spaces. Cite as "Cloudflare cuts AI processing costs by 77 percent with new model", Collab365 Spaces.