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BigModel

BigModel

Zhipu AI's full-stack GLM platform for model APIs, multimodal applications, and agent development

Model & API PlatformModel APIGLMMultimodal AITrial

BigModel is Zhipu AI's foundation model platform, offering GLM APIs for language, multimodal understanding, code, image, and video workflows. It also provides RAG, fine-tuning, and agent-building tools for developers and enterprises.

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Updated

2026-10-22

Platforms

Web / API

Freemium

New users receive free trial Token credits after registration. Usage is billed by model and by input/output Tokens, generally per million Tokens; lightweight models such as GLM-4-Flash may be free or very low cost. Discounted resource packages are available, while large enterprises can request dedicated-cloud hosting or private deployment. Exact model prices and quotas vary by model and current offer.

* Pricing is for reference only; see the official site for current pricing.

BigModel
open.bigmodel.cn

BigModel Key Features

  • Model APIs

    Integrate text, vision, code, image, and video capabilities through APIs.

  • Knowledge retrieval

    Ground model responses in enterprise documents and knowledge bases.

  • Fine-tuning

    Customize model behavior and domain performance with fine-tuning workflows.

  • Agent development

    Create agents that plan tasks, call APIs, use tools, and execute multi-step workflows.

BigModel Best For

Application developers

Build customer service, content, coding, and multimodal products with GLM APIs without operating model infrastructure.

Enterprise technology teams

Combine private data, RAG, embeddings, fine-tuning, and security controls into tailored AI solutions.

AI agent builders

Create domain agents with planning, tool calling, API access, and complex workflow execution.

Pros

  • Broad GLM language and multimodal model coverage
  • Includes RAG, fine-tuning, and agent tooling
  • Offers enterprise deployment and security options

Considerations

  • Pricing and quotas vary by model and usage
  • Primarily optimized for Chinese-language and China-market workflows
  • Production deployment requires engineering and governance work

BigModel Quick Start and Practical Tips

Quick start

  1. 1

    Compare the model tiers by capability before writing code, since context length and vision support differ by model.

  2. 2

    Run a fixed evaluation set of your own prompts before switching models; published benchmarks rarely match your task.

  3. 3

    Set token budgets and timeouts in the client, and handle rate-limit errors explicitly instead of retrying blindly.

Pro tip

Core tip: pin the model version in production. A dated model name can be deprecated in favour of an alias, which changes behaviour silently. Keep the exact model string, temperature, and prompt in a config file, and re-run your evaluation set whenever the version or price changes before rolling out.

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