Z.ai / Zhipu AI Models

Approved models

19

Records published from this collection

Provider information

lab

Review approach

Verify each model’s source, terms, capabilities, and current availability

Z.ai publishes the GLM model family and its deployment resources. This directory retains the existing provider URL while distinguishing checkpoint names and serving routes.

GLM 5.3 and the earlier baseline

GLM 5.3 is an open-weight text release built on the same base as GLM 5.2. The publisher attributes the changes to post-training. Compare the versions on the same repository, tools and time budget instead of treating a reported benchmark gain as a universal improvement.

Serving settings affect behavior

The 5.3 card documents low, high and max reasoning effort, with max as the default when absent or invalid. It also documents chat-template controls such as clear_thinking. Record these settings alongside the checkpoint revision and tokenizer. A different template can change tool parsing and conversation behavior.

Licence and operational fit

GLM 5.3 has a named model licence. Downloadable weights should not be labelled Apache or MIT without reading that exact licence. The FP8 and BF16 checkpoints also have different deployment implications.

Start with tasks that expose failures: an issue with a regression test, a tool call with strict arguments and a request that lacks a required fact. Track accepted results, repeated ineffective actions and the work needed to repair an answer. The 5.2 versus 5.3 guide explains how to make the migration measurable.

Publisher resources

Current publisher documentation

Z.ai / Zhipu AI model list

Review each record individually; collection membership does not imply a recommendation or guarantee of availability.

19 models
GLM 5.3
Z.ai / Zhipu AI
15.01M———
GLM 5.3 Flash
Z.ai / Zhipu AI
61.91M———
GLM-5.2
Z.ai / Zhipu AI
70.41M$1.40$4.40—
GLM-5.1
Z.ai / Zhipu AI
62.3200K$1.40$4.40—
GLM-5V-Turbo
Z.ai / Zhipu AI
72.3200K$5.00$22.00—
GLM-5-Turbo
Z.ai / Zhipu AI
62.2200K$0.00$0.00—
GLM-5
Z.ai / Zhipu AI
57.1204.8K$1.00$3.20—
GLM-4.7-Flash
Z.ai / Zhipu AI
56.9200K$0.00$0.00—
GLM-4.7-FlashX
Z.ai / Zhipu AI
56.9200K$0.07$0.40—
GLM-Image
Z.ai / Zhipu AI
—10.24K———
GLM-4.7
Z.ai / Zhipu AI
56.8204.8K$0.60$2.20—
AutoGLM Phone 9B Multilingual
Z.ai / Zhipu AI
—65.54K———
GLM-4.6V
Z.ai / Zhipu AI
61.5128K$0.30$0.90—
GLM-4.6V-Flash
Z.ai / Zhipu AI
—128K———
GLM-4.6
Z.ai / Zhipu AI
56.4204.8K$0.60$2.20—
GLM-4.5V
Z.ai / Zhipu AI
56.064K$0.60$1.80—
GLM-4.5
Z.ai / Zhipu AI
53.3131.07K$0.60$2.20—
GLM-4.5-Air
Z.ai / Zhipu AI
53.3131.07K$0.20$1.10—
GLM-4.5-Flash
Z.ai / Zhipu AI
53.3131.07K$0.00$0.00—

1–19 of 19 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

About Z.ai / Zhipu AI models

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.