GLM models on Vertex AI offer fully managed and serverless models as APIs. To use a GLM model on Vertex AI, send a request directly to the Vertex AI API endpoint. Because GLM models use a managed API, there's no need to provision or manage infrastructure.
You can stream your responses to reduce the end-user latency perception. A streamed response uses server-sent events (SSE) to incrementally stream the response.
Available GLM models
The following models are available from GLM to use in Vertex AI. To access a GLM model, go to its Model Garden model card.
GLM 4.7
GLM 4.7 is a model from GLM designed for core or vibe coding, tool use, and complex reasoning.
Use GLM models
You can use curl commands to send requests to the Vertex AI endpoint using the following model names:
- For GLM 4.7, use
glm-4.7-maas
To learn how to make streaming and non-streaming calls to GLM models, see Call open model APIs.
GLM model region availability and quotas
For GLM models, a quota applies for each region where the model is available. The quota is specified in queries per minute (QPM).
| Model | Region | Quotas | Context length |
|---|---|---|---|
| GLM 4.7 | |||
global endpoint |
|
200,000 |
If you want to increase any of your quotas for Generative AI on Vertex AI, you can use the Google Cloud console to request a quota increase. To learn more about quotas, see the Cloud Quotas overview.
What's next
- Learn how to Call open model APIs.