doubao-seed-evolving — price, context and performance

doubao-seed-evolving is a Volcengine Ark model with a 256K context window supporting Reasoning, Tools, Files, Vision. Input $0.82, output $4.11 per 1M tokens.

Overview

Rolling ByteDance Seed model for rapidly updated reasoning, coding, and agent capabilities

Pricing

Only groups enabled for this model are listed.

Performance

FAQ

Model comparison

Troubleshooting

429 is a rate limit response. Lower your concurrency, retry with backoff, or switch to a plan with a larger quota.

Common causes

• Too many concurrent requests
• Quota of the current plan exhausted
• Retrying immediately without backoff

How to fix

• Limit concurrency and retry with exponential backoff
• Switch to a plan with a larger quota
• Cache repeated requests

How to connect

curl https://api.airai.cc/v1/chat/completions \
  -H "Authorization: Bearer <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "doubao-seed-evolving",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="<YOUR_API_KEY>",
    base_url="https://api.airai.cc/v1"
)

response = client.chat.completions.create(
    model="doubao-seed-evolving",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "<YOUR_API_KEY>",
  baseURL: "https://api.airai.cc/v1"
});

const response = await client.chat.completions.create({
  model: "doubao-seed-evolving",
  messages: [{ role: "user", content: "Hello" }]
});
console.log(response.choices[0].message.content);

const OpenAI = require("openai");

const client = new OpenAI({
  apiKey: "<YOUR_API_KEY>",
  baseURL: "https://api.airai.cc/v1"
});

client.chat.completions.create({
  model: "doubao-seed-evolving",
  messages: [{ role: "user", content: "Hello" }]
}).then((r) => console.log(r.choices[0].message.content));

Replace <YOUR_API_KEY> with the API Key from your token settings.

Compatible endpoints

Gemini SDK · TypeScript

import { GoogleGenerativeAI } from "@google/generative-ai";

const genAI = new GoogleGenerativeAI("<YOUR_API_KEY>");
const model = genAI.getGenerativeModel({ model: "doubao-seed-evolving" });

const result = await model.generateContent(
  "Explain quantum entanglement in one paragraph."
);
console.log(result.response.text());

Authentication

All requests must include the Authorization: Bearer <TOKEN> header. Anthropic-format endpoints also accept the x-api-key header. Generate your API Key on the Tokens page, where you can scope access by model, group, IP, and rate limits.

Supported parameters

Rate limits

Data updated: 2026-10-10 08:15