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 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.
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.
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.
Review each record individually; collection membership does not imply a recommendation or guarantee of availability.
| GLM 5.3 Z.ai / Zhipu AI | 15.0 | 1M | — | — | — |
| GLM 5.3 Flash Z.ai / Zhipu AI | 61.9 | 1M | — | — | — |
| GLM-5.2 Z.ai / Zhipu AI | 70.4 | 1M | $1.40 | $4.40 | — |
| GLM-5.1 Z.ai / Zhipu AI | 62.3 | 200K | $1.40 | $4.40 | — |
| GLM-5V-Turbo Z.ai / Zhipu AI | 72.3 | 200K | $5.00 | $22.00 | — |
| GLM-5-Turbo Z.ai / Zhipu AI | 62.2 | 200K | $0.00 | $0.00 | — |
| GLM-5 Z.ai / Zhipu AI | 57.1 | 204.8K | $1.00 | $3.20 | — |
| GLM-4.7-Flash Z.ai / Zhipu AI | 56.9 | 200K | $0.00 | $0.00 | — |
| GLM-4.7-FlashX Z.ai / Zhipu AI | 56.9 | 200K | $0.07 | $0.40 | — |
| GLM-Image Z.ai / Zhipu AI | — | 10.24K | — | — | — |
| GLM-4.7 Z.ai / Zhipu AI | 56.8 | 204.8K | $0.60 | $2.20 | — |
| AutoGLM Phone 9B Multilingual Z.ai / Zhipu AI | — | 65.54K | — | — | — |
| GLM-4.6V Z.ai / Zhipu AI | 61.5 | 128K | $0.30 | $0.90 | — |
| GLM-4.6V-Flash Z.ai / Zhipu AI | — | 128K | — | — | — |
| GLM-4.6 Z.ai / Zhipu AI | 56.4 | 204.8K | $0.60 | $2.20 | — |
| GLM-4.5V Z.ai / Zhipu AI | 56.0 | 64K | $0.60 | $1.80 | — |
| GLM-4.5 Z.ai / Zhipu AI | 53.3 | 131.07K | $0.60 | $2.20 | — |
| GLM-4.5-Air Z.ai / Zhipu AI | 53.3 | 131.07K | $0.20 | $1.10 | — |
| GLM-4.5-Flash Z.ai / Zhipu AI | 53.3 | 131.07K | $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.