Updated on 2026-08-19 GMT+08:00

Viewing a Built-in Model in Model Square

MaaS provides various open-source models. You can check them on the Model Square. The model details page shows all necessary information. You can choose suitable models for training and inference to incorporate into your enterprise systems.

Prerequisites

You have registered a HUAWEI ID and enabled Huawei Cloud services.

Billing

Calling built-in services: Billing varies by model type. For details, see Billing Items for MaaS Built-in Model Service.

Accessing the Model Square

Log in to the MaaS console and select the target region on the top navigation bar.
In the navigation pane, choose Model Square.

In the Filter area on the Model Square page, filter models by type, context length, advanced features, series, and supported jobs, or search by model name.

For details about model series, see Model Introduction. The supported filter criteria may vary depending on the region. The following uses CN-Hong Kong as an example.

**Table 1** Model filters
Filter	Description
Type	Currently, only text models are available.
Context Length	You can filter models by context length, including 256K–1M, 128K–256K, 23K–128K, and 0–32K. If you select multiple context lengths, the page displays the model set of the selected context lengths.
Advanced Capabilities	You can filter models based on their ability to handle function calls or deep reasoning.
Models	You can filter models by series, including DeepSeek, Qwen3, and GLM. If you select multiple models, the page displays the collection of the selected model series.
Source	You can filter models by their source.

Perform the following operations on the target model card on the Model Square page:
- Viewing Built-in Model Details
- Calling a Model

Model Introduction

The following table lists the models supported by the MaaS platform. For details about the models, go to the model details page.

**Table 2** Models in the Model Square
Model Series		Type	Use Case	Supported Language	Model Introduction
GLM	GLM-5.2	Text generation	Reasoning, coding, and agentic tasks	Chinese and English	GLM-5.2 is the next-generation flagship model from Zhipu AI, open-sourced on June 17, 2026. With state-of-the-art open-source coding and long-horizon task capabilities, it significantly enhances engineering stability in real-world development and improves multi-platform delivery reliability.
GLM	GLM-5.1	Text generation	Reasoning, coding, and agentic tasks	Chinese and English	GLM-5.1 is the latest flagship model from Zhipu. It provides enhanced coding capabilities and improved performance in long-horizon tasks. It can autonomously work for up to 8 hours in a single task, covering the entire process from planning and execution to iterative optimization and delivering engineering-level results. While GLM-5.1 matches Claude Opus 4.6 in general intelligence and raw coding proficiency, it significantly outperforms the global frontier in long-horizon sustained execution. It excels at autonomous, multi-stage tasks over extended periods, making it the ideal foundation for building highly resilient autonomous agents and long-horizon coding engines.
DeepSeek	DeepSeek-V4-Pro	Text generation	Q&A and text generation inference	Chinese and English	DeepSeek-V4-Pro is the flagship version of the DeepSeek-V4 series. It adopts a Mixture-of-Experts (MoE) architecture, with trillions of parameters and an ultra-long 1M (one million token) context window.
DeepSeek	DeepSeek-V4-Flash	Text generation	Q&A and text generation inference	Chinese and English	DeepSeek-V4-Flash is a lightweight, efficient version of the DeepSeek-V4 series. It supports a 1M-token context window while offering faster, cheaper API services through a smaller model size and fewer active parameters.
Qwen3	Qwen3	Text generation	Q&A	Chinese and English	The Qwen3 series includes LLMs and multimodal models created by the Qwen team. These models undergo extensive training using vast amounts of language and multimodal data, followed by fine-tuning with top-tier datasets.

Viewing Built-in Model Details

Log in to the MaaS console and select the target region on the top navigation bar.
In the navigation pane, choose Model Square.
In the Filter area on the Model Square page, filter models by type, context length, advanced features, or series, or search by model name.
Click a model card. On the Model Details page, view the model details, such as the model introduction, version information, and supported capabilities. In the upper right corner of the Model Details page, you can view the operations supported by the model.
- Calling a Model
The operations supported by different models may vary. Check the console for details.

Calling a Model

MaaS provides commercial-use APIs for inference. After subscribing to a model service, you can directly experience or call the model service without waiting for deployment. The model service is billed based on usage (such as the number of tokens or image generation duration).

Use either of the following methods to call a model for inference:
- On the Model Square page: Click Model Deployment on a model card.
- On the Model Details page: In the upper right corner of the page, click Model Deployment and select a version. Alternatively, click Deploy on the right of the version area.
On the View Call Description page, enable or call the model service according to the instructions.
Subscribing to a model service: In the Subscribe to Built-in Services and Try Popular Models Now area, review the information, select I have read and agree to the above terms and MaaS Service Statement, and click Subscribe.

For details about the API key parameters, see Creating an API Key. For details about the API calling parameters, see Model API Calling Specifications.
Figure 1 API calling

Parent Topic: Appendix