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Doubao-Seed-2.0

Đầu vào:$0.024/M
Đầu ra:$0.24/M
Ngày phát hành:Feb 13, 2026

🔹 Doubao Seed 2.0 Series doubao-seed-2-0-code-preview-260215 Focuses on long-chain reasoning capabilities and complex task stability, adapted for complex scenarios in real business environments. As the coding-enhanced version of Seed 2.0, it is better suited for Agentic Coding. doubao-seed-2-0-lite-260215 Balances generation quality with response speed, making it suitable as a general-purpose production-grade model. doubao-seed-2-0-mini-260215 Designed for low-latency, high-concurrency, and cost-sensitive scenarios. It emphasizes rapid response and flexible inference deployment, supporting four-level thinking and multimodal understanding capabilities.

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Playground cho Doubao-Seed-2.0

Khám phá Playground của Doubao-Seed-2.0 — môi trường tương tác để kiểm tra mô hình và chạy truy vấn theo thời gian thực. Thử prompts, điều chỉnh tham số và lặp lại ngay lập tức để tăng tốc phát triển và xác thực các trường hợp sử dụng.

Technical Specifications of Doubao-Seed-2-0

ItemDoubao-Seed-2-0
ProviderByteDance (Volcengine)
Model familyDoubao Seed 2.x series
Model typeMultimodal large language model
Input typesText, Image
Output typesText
Context windowUp to 256K tokens (long-context variant supported)
Max output tokensConfigurable via API (typically 8K–16K default limits depending on deployment)
Tool callingSupported (function calling / structured output)
DeploymentAPI via Volcengine / enterprise private deployment
Knowledge cutoff2024 (reported in public documentation)
Primary positioningEnterprise-grade multimodal reasoning and Chinese-English performance optimization

What is Doubao-Seed-2-0?

Doubao-Seed-2-0 is ByteDance’s second-generation flagship multimodal foundation model in the Doubao series. It improves long-context reasoning, Chinese-language fluency, coding performance, and multimodal understanding compared to Doubao 1.x models. The model is designed for enterprise deployment via Volcengine APIs and supports structured outputs and tool invocation.

It targets high-accuracy reasoning, enterprise copilots, document analysis, and multimodal applications.

Main Features of Doubao-Seed-2-0

  • Strong Chinese + bilingual optimization: Trained with deep Chinese corpus integration, outperforming many Western models in Chinese reasoning and instruction-following tasks.
  • Long-context support (up to 256K tokens): Enables analysis of long policy documents, contracts, research papers, and multi-document workflows.
  • Multimodal input capability: Accepts image inputs for chart reading, document parsing, and visual Q&A.
  • Structured output & function calling: Designed for enterprise API workflows and tool orchestration.
  • Improved coding ability: Enhanced code generation and debugging across mainstream languages.
  • Agent capabilities / multi-step reasoning: Pro SKU explicitly targeted at complex, long-chain reasoning and task execution (planning + execution).
  • Cost / efficiency optimizations: ByteDance claims a significant cost advantage for large real-world token budgets; targeted engineering to reduce per-token inference costs.
  • SKU segmentation: Lite (cost/performance balance), Mini (low latency / high concurrency), Code (programming specialty). This helps operators choose the right trade-off for a product.

Model versions / SKUs

  • Doubao-Seed-2.0 Pro — high-capacity SKU for deep inference tasks and long-chain task execution; marketed as comparable to GPT-5.2 / Gemini 3 Pro in capabilities.
  • Doubao-Seed-2.0 Lite — mid-tier SKU optimizing cost/performance; described as surpassing Doubao 1.8 in overall capability.
  • Doubao-Seed-2.0 Mini — lightweight SKU for low latency, high concurrency, cost-sensitive production endpoints.
  • Doubao-Seed-2.0-Code — code/programming specialty model; noted to pair well with TRAE (a code tooling / runtime) in ByteDance reporting.

Use cases & recommended deployment patterns

Primary use cases (immediately practical):

  • Agent / task automation: Long-chain planning + execution (Pro) — e.g., enterprise workflow agents that interpret instructions, call services, and synthesize results.
  • Conversational assistant / consumer app: Doubao app integration for chat, search, commerce assistance at scale (Lite / Mini for cost/latency tradeoffs).
  • Code generation & developer tooling: Doubao-Seed-2.0-Code for code completion, code review, automated test generation and developer assistants.
  • Multimodal content generation: Paired with Seedance and Seedream for image/video production workflows, marketing content, short video creation pipelines. (Be mindful of IP/safety.)

Deployment recommendations (practical):

  • Use Mini for high-TPS conversational endpoints (caching + quantization).
  • Use Lite where cost + quality balance is needed (customer support augmentation, FAQ automation).
  • Use Pro for complex agent tasks that require deep reasoning and long context chains (pair with server-side scaling and structured action executors).
  • For sensitive workflows (medical/financial/legal), add domain-specific retrieval (RAG) and conservative response filters; treat model outputs as assistive not authoritative until validated. (Best practice; applies to all LLMs.)

How to access and integrate Doubao-Seed-2.0

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Step 2: Send Requests to Doubao-Seed-2.0 pro API

Select the “doubao-seed-2-0-pro-260215” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. Where to call it: Chat format.

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

Câu Hỏi Thường Gặp

Giá cả cho Doubao-Seed-2.0

Khám phá mức giá cạnh tranh cho Doubao-Seed-2.0, được thiết kế để phù hợp với nhiều ngân sách và nhu cầu sử dụng khác nhau. Các gói linh hoạt của chúng tôi đảm bảo bạn chỉ trả tiền cho những gì bạn sử dụng, giúp dễ dàng mở rộng quy mô khi yêu cầu của bạn tăng lên. Khám phá cách Doubao-Seed-2.0 có thể nâng cao các dự án của bạn trong khi vẫn kiểm soát được chi phí.

Doubao Seed 2.0 Series Pricing (USD)

Model NameYour Price (USD / 1M Tokens)Official Price (USD / 1M Tokens)Discount
doubao-seed-2-0-pro-260215Input: $0.40 / Output: $2.00Input: $0.44 / Output: $2.2120% OFF
doubao-seed-2-0-code-preview-260215Input: $0.40 / Output: $2.00Input: $0.44 / Output: $2.2120% OFF
doubao-seed-2-0-lite-260215Input: $0.08 / Output: $0.48Input: $0.083 / Output: $0.5020% OFF
doubao-seed-2-0-mini-260215Input: $0.024 / Output: $0.24Input: $0.028 / Output: $0.2820% OFF

Mã mẫu và API cho Doubao-Seed-2.0

Truy cập mã mẫu toàn diện và tài nguyên API cho Doubao-Seed-2.0 để tối ưu hóa quy trình tích hợp của bạn. Tài liệu chi tiết của chúng tôi cung cấp hướng dẫn từng bước, giúp bạn khai thác toàn bộ tiềm năng của Doubao-Seed-2.0 trong các dự án của mình.

# Get your CometAPI key from https://api.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "doubao-seed-2-0-pro-260215",
    "max_completion_tokens": 65535,
    "reasoning_effort": "medium",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "image_url",
            "image_url": {
              "url": "https://ark-project.tos-cn-beijing.ivolces.com/images/view.jpeg"
            }
          },
          {
            "type": "text",
            "text": "What is the main idea of the picture?"
          }
        ]
      }
    ]
  }' | jq '.choices[0].message.content // .error // .'

cURL Code Example

# Get your CometAPI key from https://api.cometapi.com/console/token
# Export it as: export COMETAPI_KEY="your-key-here"

curl https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "doubao-seed-2-0-pro-260215",
    "max_completion_tokens": 65535,
    "reasoning_effort": "medium",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "image_url",
            "image_url": {
              "url": "https://ark-project.tos-cn-beijing.ivolces.com/images/view.jpeg"
            }
          },
          {
            "type": "text",
            "text": "What is the main idea of the picture?"
          }
        ]
      }
    ]
  }' | jq '.choices[0].message.content // .error // .'

Python Code Example

from openai import OpenAI
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)

completion = client.chat.completions.create(
    model="doubao-seed-2-0-pro-260215",
    max_completion_tokens=65535,
    extra_body={"reasoning_effort": "medium"},
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://ark-project.tos-cn-beijing.ivolces.com/images/view.jpeg"
                    },
                },
                {"type": "text", "text": "What is the main idea of the picture?"},
            ],
        }
    ],
)

print(completion.choices[0].message.content)

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const base_url = "https://api.cometapi.com/v1";

const openai = new OpenAI({
  apiKey: api_key,
  baseURL: base_url,
});

const completion = await openai.chat.completions.create({
  model: "doubao-seed-2-0-pro-260215",
  max_completion_tokens: 65535,
  reasoning_effort: "medium",
  messages: [
    {
      role: "user",
      content: [
        {
          type: "image_url",
          image_url: {
            url: "https://ark-project.tos-cn-beijing.ivolces.com/images/view.jpeg"
          }
        },
        {
          type: "text",
          text: "What is the main idea of the picture?"
        }
      ]
    }
  ],
});

console.log(completion.choices[0].message.content);

Các phiên bản của Doubao-Seed-2.0

Lý do Doubao-Seed-2.0 có nhiều snapshot có thể bao gồm các yếu tố tiềm năng như: sự thay đổi đầu ra sau các bản cập nhật cần các snapshot cũ để đảm bảo tính nhất quán, cung cấp cho nhà phát triển thời gian chuyển tiếp để thích ứng và di chuyển, cũng như các snapshot khác nhau tương ứng với các endpoint toàn cầu hoặc khu vực nhằm tối ưu hóa trải nghiệm người dùng. Để biết chi tiết về sự khác biệt giữa các phiên bản, vui lòng tham khảo tài liệu chính thức.

VersiondescriptionAccess
doubao-seed-2-0-code-preview-260215Focuses on long-chain reasoning capabilities and complex task stability, adapted for complex scenarios in real business environments. As the coding-enhanced version of Seed 2.0, it is better suited for Agentic Coding.✅
doubao-seed-2-0-lite-260215Balances generation quality with response speed, making it suitable as a general-purpose production-grade model.✅
doubao-seed-2-0-mini-260215Designed for low-latency, high-concurrency, and cost-sensitive scenarios. It emphasizes rapid response and flexible inference deployment, supporting four-level thinking and multimodal understanding capabilities.✅
doubao-seed-2-0-pro-260215It focuses on long-chain inference capabilities and stability for complex tasks, adapting to complex scenarios in real-world business.✅