GLM 5.2 now available on AI Gateway

Vercel's AI Gateway now supports GLM 5.2, a model with a 1M-token context window designed for long-horizon tasks. The model carries project-level engineering context, runs long-running tasks reliably, and follows engineering standards consistently. AI Gateway provides a unified API with features like custom reporting, zero data retention, and API key budgets.

GLM 5.2 is now available on AI Gateway https://vercel.com/ai-gateway . Built for long-horizon tasks, GLM 5.2 carries project-level engineering context across a single task, runs long-running tasks more reliably, and follows engineering standards more consistently. The context window for this model has been upgraded to 1M tokens, up from 200K in GLM 5.1. To use GLM 5.2, set model to zai/glm-5.2 in the AI SDK https://ai-sdk.dev/ : AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting https://vercel.com/changelog/custom-reporting-ai-gateway , Zero Data Retention support https://vercel.com/blog/zdr-on-ai-gateway , budgets for API keys https://vercel.com/docs/ai-gateway/authentication-and-byok/api-keys , and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key https://vercel.com/docs/ai-gateway bring-your-own-key BYOK requests. Learn more about AI Gateway https://vercel.com/docs/ai-gateway , view the AI Gateway model leaderboard https://vercel.com/ai-gateway/leaderboards or try it in our model playground https://vercel.com/ai-gateway/models/glm-5.2 .