Volcengine Ark (Doubao) gateway details

Volcengine's LLM service platform, offering Doubao text, vision, and other model APIs; ideal for apps focused on Chinese scenarios, low cost, and high concurrency.

Best for: For Chinese apps, content production, and high-concurrency low-cost inference scenarios.

Current status

Test yourself

Latency reference

Depends on your deployment

/models check

See the platform docs

Last verified

Not verified yet

Status notes

Test plain responses, streaming, error codes, and rate limits yourself before launch.

Pricing mode

Billed by Volcengine account and model usage; prices vary widely across Doubao models.

Price tags

Low cost, High stability, Pay-as-you-go

Free quota

Per the Volcengine Ark console and promotions.

Usually you create an API key in the platform console, then replace the SDK's baseURL, model name, and auth details per the docs. Test streaming, function calling, error codes, and rate limits before launch.

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AI_GATEWAY_API_KEY,
  baseURL: "see the platform docs"
});

const response = await client.chat.completions.create({
  model: "Doubao",
  messages: [{ role: "user", content: "Test one call through an AI gateway." }]
});

• Supported models: Doubao.
• Capabilities: OpenAI-compatible, Streaming, Function calling, Image generation, Balance query, Log query.
• Documentation completeness: High; editorial stability score 4.4 / 5.

• Mainly covers Doubao and Volcengine-ecosystem models; cross-provider routing needs separate design.
• Third-party relay pricing, models, and availability can change, so re-check them periodically.

Is Volcengine Ark (Doubao) compatible with the OpenAI API?

This entry is marked as supporting the OpenAI-compatible format, but the exact base_url, model names, and parameters still follow the official docs.

Is Volcengine Ark (Doubao) ready for production?

Run a small-traffic load test, rate-limit test, and error-code test first, and confirm the billing rules; keep a backup provider for important workloads.