What is Seed 2.1 Turbo?

Seed 2.1 Turbo is ByteDance's production-oriented Seed 2.1 Turbo model designed for coding, agent workflows, multimodal understanding, and high-throughput deployment scenarios.

How does Seed 2.1 Turbo differ from Seed 2.1 Pro?

Seed 2.1 Turbo focuses on inference efficiency, scalability, and production deployment, while Seed 2.1 Pro prioritizes maximum reasoning performance and complex problem solving.

Is Seed 2.1 Turbo suitable for AI agents?

Yes. The Seed 2.1 family is specifically optimized for agent workloads, including planning, tool use, long-horizon task execution, and workflow automation.

CanSeed 2.1 Turbo perform coding tasks?

Yes. Coding is one of the primary target scenarios for Seed 2.1 Turbo, including code generation, debugging, software engineering assistance, and repository-level reasoning.

Does Seed 2.1 Turbo support multimodal inputs?

Yes. The Seed family supports understanding across text, images, audio, and video, enabling multimodal reasoning and agent applications.

When should I use Doubao Seed 2.1 Turbo instead of Seed 2.0 Lite?

Choose Seed 2.1 Turbo when you need stronger reasoning, coding performance, and agent capabilities while maintaining high throughput for production workloads.

Can developers access Doubao Seed 2.1 Turbo through APIs?

Yes. The model can be accessed through CometAPI.

Is Seed 2.1 Turbo designed for large-scale deployment?

Yes. One of the model's core goals is supporting high-volume enterprise applications requiring stable latency, high concurrency, and cost-efficient inference.

저렴한 Doubao-Seed-2.1-turbo API | text-to-text

Doubao-Seed-2.1-turbo의 Playground

Doubao-Seed-2.1-turbo의 Playground를 탐색하세요 — 모델을 테스트하고 실시간으로 쿼리를 실행하는 대화형 환경입니다. 프롬프트를 시도하고, 매개변수를 조정하며, 즉시 반복하여 개발을 가속화하고 사용 사례를 검증하세요.

Technical Specifications of Doubao Seed 2.1 Turbo

Item	Seed 2.1 Turbo (260628)
Provider	ByteDance
Model ID	doubao-seed-2-1-turbo-260628
Release Family	Seed 2.1
Type	General-purpose reasoning and agent model
Modalities	Text, Image, Audio, Video Understanding
Primary Focus	Coding, Agents, Long-horizon Reasoning
Deployment Target	High-throughput production workloads
Variant Positioning	Faster and cheaper than Pro while maintaining comparable capabilities
Tool Use	Agent workflows, tool calling, coding tasks
Version Date	2026-06-28 snapshot version

What is Doubao Seed 2.1 Turbo?

Seed 2.1 Turbo is ByteDance's production-oriented member of the newly released Seed 2.1 family. The model was introduced alongside Seed 2.1 Pro and is designed for large-scale deployment scenarios where throughput, latency, and cost efficiency are critical while retaining advanced reasoning and agent capabilities. Recent launch materials describe Turbo as targeting coding assistants, autonomous agents, and multimodal enterprise workloads.

Unlike the flagship Pro model, Turbo prioritizes inference efficiency and deployment density, making it suitable for applications that serve large numbers of users simultaneously while still supporting deep reasoning and tool-augmented workflows.

On CometAPI, developers can access Seed 2.1 Turbo through a unified API gateway, making it easier to build high-throughput AI applications without managing multiple provider integrations.

Core Capabilities of Seed 2.1 Turbo API

Deep Thinking for Complex Tasks

Seed 2.1 Turbo is described as a deep-thinking model. It can handle multi-step reasoning, task decomposition, planning, and long-form problem solving, making it useful for business analysis, coding support, technical Q&A, and structured decision workflows.

Coding and Engineering Assistance

Seed 2.1 is built for the coding and agent era. Turbo is suitable for code generation, code explanation, debugging assistance, repository Q&A, technical documentation, API integration help, and software workflow automation.

Agentic Task Execution

Seed 2.1 Turbo is designed for agent scenarios that require planning, tool usage, and iterative task completion. It can support AI agents that call tools, process intermediate results, generate structured outputs, and complete multi-step enterprise workflows.

Multimodal Understanding

Doubao Seed 2.1 Turbo supports multimodal understanding. This makes it suitable for workflows that combine text with image or document understanding, such as screenshot analysis, visual QA, product feedback review, and multimodal customer support.

Long Context Window

Seed 2.1 Turbo supports a 256K context window . This enables long-document analysis, large prompt scaffolds, multi-file context, knowledge-base Q&A, and agent memory workflows.

Tool Calling and Structured Workflows

Seed 2.1 Turbo supports tool-calling scenarios, making it practical for production agents that need to interact with search, databases, internal APIs, calculators, CRMs, ticketing systems, or other business tools.

Seed 2.1 Turbo API vs Seed 2.1 Pro API

Feature	Doubao Seed 2.1 Turbo API	Doubao Seed 2.1 Pro API
Model ID	doubao-seed-2-1-turbo-260628	doubao-seed-2-1-pro-260628
Positioning	Low-cost, low-latency production model	Flagship model for high-complexity tasks
Best for	High-volume coding, agents, multimodal understanding, enterprise apps	Complex coding, long-chain agents, multi-step engineering delivery
Context window	256K tokens	256K tokens
Reasoning mode	Deep thinking	Deep thinking
Official-style pricing reference	RMB 3 / 1M input tokens, RMB 15 / 1M output tokens	RMB 6 / 1M input tokens, RMB 30 / 1M output tokens
Cache hit pricing reference	RMB 0.6 / 1M tokens	RMB 1.2 / 1M tokens
Recommended routing	Default model for scale and cost efficiency	Escalation model for harder tasks

Choose Doubao Seed 2.1 Turbo when your application needs stable throughput, lower cost, faster response, and strong general capability. Choose Doubao Seed 2.1 Pro when the task requires maximum reasoning depth, complex codebase work, or long-horizon agent planning.

How to Use Seed 2.1 Turbo API on CometAPI

Create a CometAPI account and generate your API key.
Select doubao-seed-2-1-turbo-260628 from the available model list.
Use the Chat Completions or compatible text-generation endpoint.
Send your prompt, system instructions, conversation history, and optional tool definitions.
Enable streaming for real-time chat, coding assistants, and agent interfaces.
Monitor token usage, latency, and output quality from your CometAPI dashboard.

What Can You Build with Seed 2.1 Turbo API on CometAPI?

AI Coding Assistants

Build code generation tools, debugging copilots, repository Q&A systems, pull-request assistants, and developer productivity agents.

Enterprise AI Agents

Create agents that plan tasks, call tools, summarize results, update systems, and support complex internal workflows across departments.

Long-Context Document Analysis

Use the 256K context window to analyze contracts, reports, research files, product specs, customer logs, support histories, and knowledge-base content.

Multimodal Business Assistants

Build assistants that understand screenshots, UI captures, product images, visual reports, and document-based workflows.

Customer Support Automation

Deploy high-throughput support bots that classify tickets, answer questions, summarize conversations, and escalate complex cases to humans.

Workflow and Data Analysis Tools

Use Doubao Seed 2.1 Turbo for structured summaries, business reports, data interpretation, spreadsheet reasoning, and operational decision support.

Why Choose Seed 2.1 Turbo API on CometAPI?

One API for 500+ Models

CometAPI provides unified access to hundreds of AI models through one API layer. Developers can test Seed 2.1 Turbo alongside other leading models without rebuilding their application.

Better Cost Control for Production

Seed 2.1 Turbo is designed for lower-cost, lower-latency production workloads. On CometAPI, teams can monitor usage, compare model economics, and route requests based on cost-performance needs.

Easy Model Switching

With CometAPI, developers can switch between Seed 2.1 Turbo, Seed 2.1 Pro, Claude, GPT, Gemini, and other models through a consistent integration pattern.

Ideal for High-Volume AI Apps

Turbo is a strong default option for customer-facing chatbots, internal copilots, coding tools, SaaS AI features, and agent platforms that need stable, scalable inference.

Production-Friendly Agent Workflows

Because Seed 2.1 Turbo supports long context, deep thinking, multimodal understanding, and tool-oriented workflows, it is well suited for real-world AI agents that need more than simple text generation.

자주 묻는 질문

Doubao-Seed-2.1-turbo 가격

[모델명]의 경쟁력 있는 가격을 살펴보세요. 다양한 예산과 사용 요구에 맞게 설계되었습니다. 유연한 요금제로 사용한 만큼만 지불하므로 요구사항이 증가함에 따라 쉽게 확장할 수 있습니다. [모델명]이 비용을 관리 가능한 수준으로 유지하면서 프로젝트를 어떻게 향상시킬 수 있는지 알아보세요.

Model	Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
doubao-seed-2-1-turbo-260628	입력:$0.33328/M 출력:$1.6664/M	입력:$0.4166/M 출력:$2.083/M	-20%

Doubao-Seed-2.1-turbo의 샘플 코드 및 API

[모델 이름]의 포괄적인 샘플 코드와 API 리소스에 액세스하여 통합 프로세스를 간소화하세요. 자세한 문서는 단계별 가이드를 제공하여 프로젝트에서 [모델 이름]의 모든 잠재력을 활용할 수 있도록 돕습니다.

POST

/v1/chat/completions

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

set -eo pipefail

curl -sS --retry 3 --retry-delay 2 --retry-all-errors https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "doubao-seed-2-1-turbo-260628",
    "max_completion_tokens": 2048,
    "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": "Describe the scene in two concise bullet points and infer one likely use case."
          }
        ]
      }
    ]
  }' | jq '.choices[0].message.content // .error // .'

cURL Code Example

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

set -eo pipefail

curl -sS --retry 3 --retry-delay 2 --retry-all-errors https://api.cometapi.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "doubao-seed-2-1-turbo-260628",
    "max_completion_tokens": 2048,
    "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": "Describe the scene in two concise bullet points and infer one likely use case."
          }
        ]
      }
    ]
  }' | jq '.choices[0].message.content // .error // .'

Python Code Example

from openai import OpenAI
import os

# Get your CometAPI key from https://www.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-2-1-turbo-260628",
    max_completion_tokens=2048,
    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": "Describe the scene in two concise bullet points and infer one likely use case.",
                },
            ],
        }
    ],
)

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

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://www.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,
});

async function main() {
  const completion = await openai.chat.completions.create({
    model: "doubao-seed-2-1-turbo-260628",
    max_completion_tokens: 2048,
    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: "Describe the scene in two concise bullet points and infer one likely use case."
          }
        ]
      }
    ],
  });

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

main();

Doubao-Seed-2.1-turbo의 버전

Doubao-Seed-2.1-turbo에 여러 스냅샷이 존재하는 이유는 업데이트 후 출력 변동으로 인해 일관성을 유지하기 위해 이전 스냅샷을 보관하거나, 개발자에게 적응 및 마이그레이션을 위한 전환 기간을 제공하거나, 글로벌 또는 지역별 엔드포인트에 따라 다양한 스냅샷을 제공하여 사용자 경험을 최적화하기 위한 것 등이 포함될 수 있습니다. 버전 간 상세한 차이점은 공식 문서를 참고해 주시기 바랍니다.

Version
doubao-seed-2-1-turbo-260628