GLM 5.3 Flash
Neural Network
GLM 5.3 Flash is a multimodal model by Z.ai for coding, agent scenarios, and long context tasks.
Max answer length
(in tokens)
Context size
(in tokens)
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GLM 5.3 Flash?
GLM 5.3 Flash is a natively multimodal model from Z.ai, designed for cost-effective coding and long agent tasks where maintaining reasoning over many steps is crucial. Its hybrid attention architecture combines sparse and linear mechanisms, allowing the model to handle long contexts accurately without losing details in large inputs. The batch version is designed for bulk request processing where volume matters more than instant response. In BotHub, the model is accessible without a VPN or foreign card: you pay with a Russian card for actual tokens used, not a subscription, and they do not expire. Over 250 other neural networks are available in the same window, allowing you to compare answers or switch without rewriting integrations, thanks to a unified OpenAI-compatible API. Companies have access to contracts, invoices, and an admin panel with limits. Use cases include: refactoring and reviewing large repositories, analyzing unfamiliar code and debugging, autonomous agents with long step chains, analyzing voluminous documentation, and mass processing of similar requests.Frequently asked questions about GLM 5.3 Flash
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a text model from Z.ai with a context window of about a million tokens. It works with long documents, code, and analytics: parsing large repositories, refactoring, debugging, STEM tasks, and summarizing voluminous materials. It understands input images and documents, and can reason and call functions.
The output limit is up to 131,072 tokens per response, which is dozens of pages of text. This is enough for an entire large code module, a detailed technical analysis, translating a voluminous document, or a comprehensive report without needing to split the task into parts and manually stitch answers together.
Yes, reasoning mode is supported. The model builds a solution path before the final answer, which helps with math, logic, data analysis, and code debugging. On complex multi-step tasks, this approach significantly reduces errors compared to answering directly.
Yes, the model supports function calling and structured JSON output. You describe the tool schema, and the model selects the necessary one and returns arguments in the specified format. This is convenient for agents, document parsing, and integrating answers into your backend without post-processing.
According to our data, images and documents are accepted as input in addition to text. You can send an interface screenshot, diagram, chart, or PDF and get a text analysis. Audio and video support is not noted in our data; the model generates text only.
GLM from Z.ai is a multilingual model and works with Russian: it answers to the point, summarizes documents, and writes code comments. For niche terminology and style, it is better to check the result manually. In BotHub, the model is available from the Russian Federation without a VPN or foreign card, with payment in rubles.