ChatGLM-4 Models by Tsinghua Knowledge Engineering Group (THUDM)
2 models2025Up to 128k ctx
Details
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models2
Released2025
Max context128k
About
ChatGLM-4 is a family of 2 AI models by Tsinghua Knowledge Engineering Group (THUDM), released in 2025.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
2 in view
ChatGLM-4 32BCurrent
Use when the workload needs 128k context and 32B parameters.
2025-02128k context32B parameters
ChatGLM-4 9BCurrent
Use when the workload needs 128k context and 9B parameters.
2025-01128k context9B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| ChatGLM-4 32B | Use when the workload needs 128k context and 32B parameters. | 2025-02 | 128k context32B parameters | Current |
| ChatGLM-4 9B | Use when the workload needs 128k context and 9B parameters. | 2025-01 | 128k context9B parameters | Current |
Release Timeline
2 release groups2025-02
1 current
ChatGLM-4 32B
Current128k context32B parameters
2025-01
1 current
ChatGLM-4 9B
Current128k context9B parameters
Specifications(2 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| ChatGLM-4 32B | 2025-02 | 128k | 32B |
| ChatGLM-4 9B | 2025-01 | 128k | 9B |
Frequently Asked Questions
- What is ChatGLM-4 used for?
- ChatGLM-4 is used for evaluating 2 related AI models by specs, pricing, provider access, and release data.
- How does ChatGLM-4 compare to GLM-Z1?
- ChatGLM-4 by Tsinghua Knowledge Engineering Group (THUDM) is strongest where you need its listed use cases, while GLM-Z1 by Tsinghua Knowledge Engineering Group (THUDM) is the closest related family to check for reasoning. ChatGLM-4 has 2 listed variants and reaches up to 128k context, while GLM-Z1 reaches up to 128k context, so compare the specs and pricing tables before choosing a production model.
- Which ChatGLM-4 model should I use?
- If price is the main constraint, use the pricing table first because ChatGLM-4 does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate ChatGLM-4 32B with 128k context.
