What is Doubao-Seed-2.0 and what makes it different from Doubao 1.x?

Doubao-Seed-2.0 is ByteDance’s next-generation version of the Doubao large AI model, designed for the 'agent era' with stronger multi-step, real-world task execution and deep reasoning capabilities compared to earlier releases.

Can Doubao-Seed-2.0 perform complex reasoning and multi-step tasks?

Yes — ByteDance states that Doubao 2.0 is capable of deep thinking and executing long, multi-step workflows, positioning it beyond basic Q&A chat tasks.

How does Doubao-Seed-2.0 compare to models like GPT-5.2 Pro or Gemini 3 Pro?

According to ByteDance, the 2.0 model’s reasoning and task execution performance is comparable to OpenAI’s GPT-5.2 and Google’s Gemini 3 Pro, aiming for competitive capability with significantly lower cost.

What are the expected use cases for Doubao-Seed-2.0?

Doubao 2.0 is geared toward real-world applications involving deep inference, agent workflows, multi-step instructions, and enhanced user interactions in AI assistants.

Does Doubao-Seed-2.0 include multiple variants?

Yes — the 2.0 family reportedly includes multiple variants such as Pro (deep reasoning), Lite (balanced performance/cost), Mini (low latency, high concurrency), and Code-focused versions.

Is Doubao-Seed-2.0 already deployed in products?

Doubao 2.0 has been released within CometAPI, which is one of most widely used AI applications with over 150 million weekly active users, and integrates broader model capabilities.

Does Doubao-Seed-2.0 support multimodal inputs?

While specific technical docs for Doubao-Seed-2.0 are not yet published, the Doubao ecosystem has integrated advanced multimodal abilities (like combined text/image/video workflows) through related models like Seedance 2.0, suggesting Doubao 2.0 will support richer multimodal tasks.

お手頃な Doubao-Seed-2.0 API | text-to-text

Technical Specifications of Doubao-Seed-2-0

Item	Doubao-Seed-2-0
Provider	ByteDance (Volcengine)
Model family	Doubao Seed 2.x series
Model type	Multimodal large language model
Input types	Text, Image
Output types	Text
Context window	Up to 256K tokens (long-context variant supported)
Max output tokens	Configurable via API (typically 8K–16K default limits depending on deployment)
Tool calling	Supported (function calling / structured output)
Deployment	API via Volcengine / enterprise private deployment
Knowledge cutoff	2024 (reported in public documentation)
Primary positioning	Enterprise-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

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.

Doubao-Seed-2.0の料金

Doubao-Seed-2.0の競争力のある価格設定をご確認ください。さまざまな予算や利用ニーズに対応できるよう設計されています。柔軟なプランにより、使用した分だけお支払いいただけるため、要件の拡大に合わせて簡単にスケールアップできます。Doubao-Seed-2.0がコストを管理しながら、お客様のプロジェクトをどのように強化できるかをご覧ください。

Doubao Seed 2.0 Series Pricing (USD)

Model Name	Your Price (USD / 1M Tokens)	Official Price (USD / 1M Tokens)	Discount
doubao-seed-2-0-pro-260215	Input: $0.40 / Output: $2.00	Input: $0.44 / Output: $2.21	20% OFF
doubao-seed-2-0-code-preview-260215	Input: $0.40 / Output: $2.00	Input: $0.44 / Output: $2.21	20% OFF
doubao-seed-2-0-lite-260215	Input: $0.08 / Output: $0.48	Input: $0.083 / Output: $0.50	20% OFF
doubao-seed-2-0-mini-260215	Input: $0.024 / Output: $0.24	Input: $0.028 / Output: $0.28	20% OFF

Doubao-Seed-2.0のサンプルコードとAPI

Doubao-Seed-2.0の包括的なサンプルコードとAPIリソースにアクセスして、統合プロセスを効率化しましょう。詳細なドキュメントでは段階的なガイダンスを提供し、プロジェクトでDoubao-Seed-2.0の潜在能力を最大限に活用できるよう支援します。

# 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);

Doubao-Seed-2.0のバージョン

Doubao-Seed-2.0に複数のスナップショットが存在する理由としては、アップデート後の出力変動により旧版スナップショットの一貫性維持が必要な場合、開発者に適応・移行期間を提供するため、グローバル/リージョナルエンドポイントに対応する異なるスナップショットによるユーザー体験最適化などが考えられます。各バージョンの詳細な差異については、公式ドキュメントをご参照ください。

Version	description	Access
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.	✅
doubao-seed-2-0-pro-260215	It focuses on long-chain inference capabilities and stability for complex tasks, adapting to complex scenarios in real-world business.	✅

Doubao-Seed-2.0

Doubao-Seed-2.0のPlayground

Technical Specifications of Doubao-Seed-2-0

What is Doubao-Seed-2-0?

Main Features of Doubao-Seed-2-0

Model versions / SKUs

Use cases & recommended deployment patterns

Primary use cases (immediately practical):

Deployment recommendations (practical):

How to access and integrate Doubao-Seed-2.0

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

Step 3: Retrieve and Verify Results

よくある質問

Doubao-Seed-2.0の料金

Doubao Seed 2.0 Series Pricing (USD)

Doubao-Seed-2.0のサンプルコードとAPI

cURL Code Example

Python Code Example

JavaScript Code Example

Doubao-Seed-2.0のバージョン

Doubao-Seed-2.0

Doubao-Seed-2.0のPlayground

Technical Specifications of Doubao-Seed-2-0

What is Doubao-Seed-2-0?

Main Features of Doubao-Seed-2-0

Model versions / SKUs

Use cases & recommended deployment patterns

Primary use cases (immediately practical):

Deployment recommendations (practical):

How to access and integrate Doubao-Seed-2.0

Step 1: Sign Up for API Key

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

Step 3: Retrieve and Verify Results

よくある質問

What is Doubao-Seed-2.0 and what makes it different from Doubao 1.x?

Can Doubao-Seed-2.0 perform complex reasoning and multi-step tasks?

How does Doubao-Seed-2.0 compare to models like GPT-5.2 Pro or Gemini 3 Pro?

What are the expected use cases for Doubao-Seed-2.0?

Does Doubao-Seed-2.0 include multiple variants?

Is Doubao-Seed-2.0 already deployed in products?

Does Doubao-Seed-2.0 support multimodal inputs?

Doubao-Seed-2.0の料金

Doubao Seed 2.0 Series Pricing (USD)

Doubao-Seed-2.0のサンプルコードとAPI

cURL Code Example

Python Code Example

JavaScript Code Example

Doubao-Seed-2.0のバージョン

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