Databricks 抛弃 Claude 转向 GLM —— 以低 34% 的成本匹敌 Opus
databricks 将 glm 5.2 设为默认编码模型，因其在其数百万行代码库的内部基准测试中与 anthropic 的 opus 4.8 性能相当，但单次任务成本仅为 1.28 美元（对比 1.94 美元），这表明中国开源模型正在生产环境中取代西方专有模型。
databricks switched its default coding engine to glm 5.2, finding it statistically tied with anthropic's opus 4.8 at $1.28 per task compared to opus's $1.94, and now routes work by complexity to optimize the pareto frontier of price and performance. internal tests showed top-tier models from openai, anthropic, and open source achieving 82-90% pass rates, but extreme cost disparities—often 60-90% lower for chinese models—are driving western enterprises like databricks, coinbase, and lindy to defect from proprietary incumbents. this validates that open-source models are production-grade and suggests future engineering stacks will dynamically route tasks across a fragmented vendor landscape based on real-time cost-to-quality metrics rather than a single flagship provider.