News icon

Batch Inference is now generally available on Runpod Serverless

Z.ai

GLM 5.3 Flash

Z.ai's 321B-parameter open vision-language model with a 1M-token context, ready to serve on Runpod Serverless with vLLM or on a Pod.

Vision + language
Text generation
321B · 1M context

GLM 5.3 Flash

Specifications

Provider
Z.ai
Modality
Vision + language
Task
Text generation
Parameters
321B
Active parameters
Context
1M tokens
Precision
FP8
Weights
328
License
mit
Released
2026-08-24
Endpoint ID
Weights on Hugging Face
zai-org/GLM-5.3-Flash

Frequently asked questions

How do I deploy GLM 5.3 Flash on Runpod?

Deploy the vLLM worker from the Runpod Hub as a Serverless endpoint and set MODEL_NAME to zai-org/GLM-5.3-Flash. The endpoint is OpenAI-compatible and scales to zero when idle. You can also run vLLM on a Pod.

What GPU do I need to run GLM 5.3 Flash?

Start with 8× H100 (640 GB VRAM). The weights take about 328 GB; longer contexts and more concurrent requests need extra memory for the KV cache.

How much does GLM 5.3 Flash cost on Runpod?

Serverless endpoints and Pods bill per second for the GPU you choose. A Serverless endpoint costs nothing while scaled to zero.

zai-org-glm-5-3-flash
zai-org/GLM-5.3-Flash
Vision + language
2026-08-24 17:00
8× H100