Tongyuye Enterprise Model API · B2B

One API entry for your team’s model needs.

Tongyuye Enterprise Model API is a project from 北京同于野科技有限公司 for enterprises, development teams and institutions. It provides an API-key-based entry to supported models, with model information, quotas and usage charges managed through the service.

Teams & institutionsModel APIsUsage quotasMetered access
Tongyuye Enterprise Model API · B2B · Public interface, captured 6 November 2026
Public interface, captured 6 November 2026View image ↗
Capabilities

From the task to the right entry.

Connect applications through an API

Use an API key to connect supported models to business systems or development tools. Check the service documentation for protocols, model identifiers and request parameters.

Review models before integration

The public model plaza provides a starting point for comparing available models against the task, response time and cost requirements.

Review usage and quotas

The platform presents usage-based billing and quota controls. Available permissions and reporting dimensions depend on the account interface.

Confirm service conditions

The user agreement currently displayed on this site includes overseas-service restrictions. Confirm regional availability, deployment location, data requirements and delivery scope before integration.

APPLICATIONS

Work with a clear goal.

  • Business application integration
  • Development tool configuration
  • Team quotas and usage
FAQ

Before you start

Is this the company’s overseas B2B model platform?

Yes. It provides a model API entry for enterprises, development teams and institutions, with a separate introduction from the consumer-facing creative platform.

Does the education domain mean it is an online course platform?

This page describes the model API service currently available on that domain. Teaching and research workflows in the company presentation concern the AI workspace and supporting applications, with teaching modules opened according to development and pilot progress.

What should a team confirm before integration?

Check models, protocols, account permissions, quotas, actual prices, regional availability and data handling requirements, then validate a small representative task.