Databricks 推出 Unity AI Gateway Smart Routing，按任务复杂度匹配模型降本
Databricks 发布任务感知路由，自动匹配模型与框架，在保持性能的同时显著降低 AI 编码成本。
Unity AI Gateway 新增 Smart Routing，自动按任务复杂度匹配模型与编码框架。内部测试中，其每任务成本仅为 Opus 5 的 65%，性能却优于任何单一模型；公开基准上以不到一半成本达到同等表现。
正文摘录
How we built task-aware routing across models and harnesses to cut costs on real-world coding tasks at Databricks by Ankit Mathur , Ivan Zhou , Bryan Qiu , Rohit Agrawal , Elise Gonzales and Kelly Albano The price and performance frontier for coding tasks features a huge diversity of models and harnesses: in 2026 alone, we’ve seen 33 new models released. In our prior post about benchmarking against the Databricks codebase , we found that models cluster into capability tiers and that much everyday work (e.g., flipping a flag, a single-file edit, a well-scoped bug fix) did not require the most expensive models. So how do you reduce AI coding costs without sacrificing developer productivity? One of the biggest opportunities is matching each task to the right model instead of defaulting every …