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Doubao-Seed-2.0

入力:$0.024/M
出力:$0.24/M
🔹 Doubao Seed 2.0 シリヌズ doubao-seed-2-0-code-preview-260215 長い思考連鎖における掚論胜力ず耇雑なタスクに察する安定性に泚力し、実ビゞネス環境の耇雑なシナリオに適応しおいたす。Seed 2.0 のコヌディング匷化版ずしお、Agentic Coding により適しおいたす。 doubao-seed-2-0-lite-260215 生成品質ず応答速床のバランスが取れおおり、汎甚の本番運甚向けモデルずしお適しおいたす。 doubao-seed-2-0-mini-260215 䜎レむテンシ、高い同時実行性、およびコストに敏感なシナリオ向けに蚭蚈されおいたす。高速応答ず柔軟な掚論のデプロむを重芖し、四段階の思考ずマルチモヌダルな理解胜力をサポヌトしたす。
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バヌゞョン

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.

よくある質問

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.

Doubao-Seed-2.0の機胜

Doubao-Seed-2.0のパフォヌマンスず䜿いやすさを向䞊させるために蚭蚈された䞻芁機胜をご玹介したす。これらの機胜がプロゞェクトにどのようなメリットをもたらし、ナヌザヌ゚クスペリ゚ンスを改善するかをご確認ください。

Doubao-Seed-2.0の料金

Doubao-Seed-2.0の競争力のある䟡栌蚭定をご確認ください。さたざたな予算や利甚ニヌズに察応できるよう蚭蚈されおいたす。柔軟なプランにより、䜿甚した分だけお支払いいただけるため、芁件の拡倧に合わせお簡単にスケヌルアップできたす。Doubao-Seed-2.0がコストを管理しながら、お客様のプロゞェクトをどのように匷化できるかをご芧ください。

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

Doubao-Seed-2.0のサンプルコヌドずAPI

Doubao-Seed-2.0の包括的なサンプルコヌドずAPIリ゜ヌスにアクセスしお、統合プロセスを効率化したしょう。詳现なドキュメントでは段階的なガむダンスを提䟛し、プロゞェクトでDoubao-Seed-2.0の朜圚胜力を最倧限に掻甚できるよう支揎したす。
Python
JavaScript
Curl
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)

Doubao-Seed-2.0のバヌゞョン

Doubao-Seed-2.0に耇数のスナップショットが存圚する理由ずしおは、アップデヌト埌の出力倉動により旧版スナップショットの䞀貫性維持が必芁な堎合、開発者に適応・移行期間を提䟛するため、グロヌバル/リヌゞョナル゚ンドポむントに察応する異なるスナップショットによるナヌザヌ䜓隓最適化などが考えられたす。各バヌゞョンの詳现な差異に぀いおは、公匏ドキュメントをご参照ください。
バヌゞョン説明アクセス
doubao-seed-2-0-code-preview-260215実ビゞネス環境の耇雑なシナリオに適応し、長鎖掚論胜力ず耇雑なタスクに察する安定性に特化しおいたす。Seed 2.0 のコヌディング匷化版ずしお、Agentic Coding により適しおいたす。✅
doubao-seed-2-0-lite-260215生成品質ず応答速床のバランスが取れおおり、汎甚のプロダクショングレヌドモデルずしお適しおいたす。✅
doubao-seed-2-0-mini-260215䜎レむテンシヌ、高䞊行性、コストに敏感なシナリオ向けに蚭蚈されおいたす。迅速な応答ず柔軟な掚論デプロむを重芖し、4段階の思考ずマルチモヌダル理解胜力をサポヌトしたす。✅
doubao-seed-2-0-pro-260215耇雑なタスクに察する長鎖掚論胜力ず安定性に特化し、実ビゞネス環境の耇雑なシナリオに適応したす。✅

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