TokenRaAI Model Catalog
Multimodal model family via TokenRa

Doubao API Guide

Use TokenRa to discover enabled Doubao and related ByteDance model capabilities from one account. Because language, image, and video products use different request patterns, begin by identifying the exact capability and model ID in the live console.

One family can contain very different API workflows

“Doubao API” can refer to multiple model capabilities rather than one interchangeable endpoint. Text models may use chat-style requests, while image and video generation can require dedicated parameters, uploaded references, asynchronous tasks, and polling.

01

Language models

Evaluate enabled chat or reasoning variants for assistants, extraction, classification, and content workflows.

02

Image generation

Check prompt, reference-image, size, count, and output controls supported by the active image channel.

03

Video generation

Plan an asynchronous task lifecycle for text-to-video or image-to-video models such as enabled Seedance variants.

Where Doubao API fits

Choose the capability before choosing the model name. Each media type has different latency, validation, cost units, and output handling requirements.

  • Text assistants and automation using an enabled language model and compatible chat endpoint.
  • Creative image generation with application-side prompt templates and asset review.
  • Marketing, storyboard, or concept video workflows using asynchronous generation tasks.
  • Multimodal product experiments that keep credentials, usage, and billing in one account.

Choose the endpoint that matches the enabled capability

Do not send media prompts to a chat endpoint based only on the family name. Inspect the model in the console, follow the request contract for that capability, and validate every user-controlled media parameter.

1

Identify the capability

Record whether the enabled model is text, image, video, or another task type, plus its exact model ID and supported inputs.

2

Use the matching workflow

Send chat requests to the applicable compatible endpoint; create and poll asynchronous tasks for media models when required.

3

Validate outputs and cost

Check task status, content policy, media rights, latency, failure handling, and billed units before production rollout.

# Text models may use the compatible chat endpoint.
# Image and video models can use capability-specific task endpoints.
# Copy the exact endpoint and model ID from the TokenRa console.

Availability, model IDs, and pricing

TokenRa is a gateway with account-specific channel configuration. A model family appearing on this information page does not guarantee that every version or capability is enabled for every account.

Check the live console before integration

Confirm the exact model identifier, endpoint, supported parameters, billing unit, and current rate in the model directory or console. Treat those live values as authoritative.

Production checklist

  • Keep API keys on the server and separate credentials by environment or workload.
  • Set explicit timeouts, bounded retries, and request tracing before routing user traffic.
  • Evaluate model behavior with representative inputs instead of assuming versions are interchangeable.
  • Monitor usage and cost in the console, then add application-side budgets and limits.
  • Review provider terms, privacy requirements, and output rights for your use case.

Doubao API API FAQ

Is Doubao API available through TokenRa?

Availability depends on the channels enabled for your account. Check the live directory and console for the current model identifier and access.

How do I integrate Doubao API?

Create a TokenRa API key, confirm the enabled model identifier, and use the request format documented for that capability. Applicable text models use an OpenAI-compatible endpoint; media models may use asynchronous tasks.

How much does Doubao API cost?

Pricing can vary by model version and active channel. Review the current billing unit and rate in the live model directory or console before testing.

Can I switch to another model later?

Yes. TokenRa keeps credentials and account-level usage in one place. Request fields and model behavior can still differ, so run regression evaluations before changing production traffic.

“Doubao”, “ByteDance”, “Seedance”, and related names may be trademarks of their respective rights holders. TokenRa is an independent API gateway and this page is not an official vendor page or endorsement.