GLM 5.3 Prime
Neural Network
GLM-5.3-Prime is a Z.ai text model with up to 1M token context and faster generation, available via GLM API in BotHub.
Specifications
- Input
- text, documents
- Output
- text
- Context size
- 1 000 000 tokens
- Max answer length
- 131 072 tokens
- Reasoning effort
- low, high, max
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works GLM 5.3 Prime?
GLM-5.3-Prime is a high-speed build of GLM-5.3 from Z.ai: it retains the capabilities of the base version but delivers results 1.5–2x faster due to inference acceleration. The model handles text input/output and supports a context window of up to one million tokens, allowing you to fit a large repository, a stack of contracts, or entire long correspondences into a single request without splitting or losing context. Via BotHub, the model is accessible from Russia without a VPN or foreign card: you pay in rubles only for tokens used, not for a subscription, and unused balances do not expire. Other models are available in the same window for comparison. For production tasks, we offer a unified OpenAI-compatible API, AES-GCM traffic encryption, and corporate access with contracts, invoices, and an admin panel. Use cases include: parsing and refactoring large codebases, log debugging, analyzing long documents and reports, preparing technical documentation, and streaming text generation where speed is critical—chatbots, support assistants, and data processing pipelines.Frequently asked questions about GLM 5.3 Prime
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.
It is a text model from Z.ai: it answers questions, writes and refactors code, helps with debugging, parses uploaded documents, and performs reasoning before answering. The one-million-token context allows you to work with large codebases, reports, and long correspondences without losing details.
The output limit is 131,072 tokens per response. This is enough for a voluminous technical document, a detailed analysis of a large code module, or an extensive analytical text in its entirety, without splitting it into parts. If you need more, simply continue the generation in the next message—the dialogue context is preserved.
Yes, the model has a reasoning mode. Before the final answer, it breaks down the task step-by-step, which significantly helps with math, logic, STEM tasks, and parsing complex code. As a result, answers to complex questions are more accurate, although generation takes slightly longer.
Yes, the model supports function calling and structured JSON output—it is suitable for agents, pipelines, and integrations with external services. A unified OpenAI-compatible API is available in BotHub, so you can connect it or switch to another model later without rewriting your integration.
Our data indicates the model accepts documents: you upload a file, and it extracts the essence, compares sections, or answers based on the content. If the task requires working with images, audio, or video, there are multimodal models available in BotHub—switching happens in the same window.
There are no formal quality measurements by language in our data, so it is better to test the model on your own tasks—fortunately, you only pay for the tokens actually used, without a subscription. If you are not satisfied with the result, compare the answer with another model right in the adjacent BotHub tab.