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.

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.

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.

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.

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 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.

Can developers access Doubao Seed 2.1 Turbo through APIs?

Yes. The model can be accessed through CometAPI.

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.

Bytedance

Available

doubao-seed-2-1-turbo-260628

Doubao-Seed-2.1-turbo API

doubao-seed-2-1-turbo-260628 balances performance and cost, with upgraded coding, agent, and multimodal capabilities for real-world complex tasks.

Starting price

$0.3333 / 1M input tokens

Usage-based billing

API health

Available

Production endpoint

Response

Async ready

Observed API response

Released

Jun 23, 2026

Bytedance

Playground

Try Doubao-Seed-2.1-turbo with a real request, review its parameters and validate the output before integrating the API.

Pricing

Use the quick estimate above for a single run, then review the full CometAPI and official-price comparison.

First request

$0.0020

Estimated CometAPI usage cost

Ten requests

$0.0200

Estimated CometAPI usage cost

Fifteen requests

$0.0300

Estimated CometAPI usage cost

⇌

Credits conversion

1,000 credits = $1

Credits make budgets comparable across token, request and runtime billing. The USD amount remains the source of truth at checkout.

✓Current model in credits

Input

333

credits / 1M tokens

Output

1,666

credits / 1M tokens

Minimum charge transparency This prototype does not assume a hidden per-request minimum. If a production billing floor or minimum top-up applies, it must be displayed before purchase and included in every budget estimate.

Model	Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
doubao-seed-2-1-turbo-260628	Input: $0.3333/M Output: $1.67/M	Input: $0.4166/M Output: $2.08/M	-20%

Model brief

A stable model identity for search and evaluation, paired with live catalog data that can change without rewriting the page's core SEO structure.

Stable identity

What is Doubao-Seed-2.1-turbo?

doubao-seed-2-1-turbo-260628 balances performance and cost, with upgraded coding, agent, and multimodal capabilities for real-world complex tasks.

Canonical model identity stays stable as pricing and limits change.

Live model data

Current catalog snapshot

Availability

Available

Starting price

$0.3333 / 1M input tokens

Context

See capabilities

Catalog date

Jun 23, 2026

Playground 2.0 / Decision desk

Decide first. Integrate with confidence.

One workspace to compare models, tune prompts, inspect routing, migrate code and ship a tested starting point.

Anchored to Doubao-Seed-2.1-turbo

Workflows

Compare before you commit

Run the same prompt across leading models and get a recommendation with evidence.

3 models · 1 run

Evaluation prompt

codingtemperature 0.2JSON output

GPT-5

OpenAI

Quality

91/100

Latency

1.2s

Est. cost

$0.018

Claude Opus 5

Anthropic

AI pick

Quality

95/100

Latency

1.8s

Est. cost

$0.024

Gemini 3 Pro

Google

Quality

89/100

Latency

0.9s

Est. cost

$0.011

Recommendation: choose Claude Opus 5 for high-risk code review; route routine checks to Gemini 3 Pro to cut cost by ~54%.

Overview

A practical overview of Doubao-Seed-2.1-turbo, including important behavior and integration considerations.

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.

FAQ

Model decision center

Know the cost. Choose the right workload.

Model the five billing dimensions, test a realistic workload and decide where Opus earns its premium before you ship.

20% below official$0.3333 vs $0.4166 / 1M input

Cost lab

Price a real agent run

Replay real workloads instead of comparing token prices in isolation. Load a preset, then adjust every billing dimension.

Fresh input tokens

tokens

Output tokens

tokens

$0.3333

/ 1M tokens

Input

New instructions, files and conversation context sent each turn.

Trim retrieved context before it reaches the model.

$1.67

/ 1M tokens

Output

Reasoning, code and text generated by the model.

Use explicit completion criteria and output limits.

Where Opus earns the premium

Best fit

Repository-scale engineering

Use Opus when the task spans architecture, multiple files and ambiguous implementation trade-offs.

Best fit

Long-running agents

A strong choice when an agent must preserve intent across many tool calls and recovery steps.

Worth the premium

High-value review

Reserve it for security, migration and production reviews where a missed issue costs more than tokens.

Use a lighter model

Routine high-volume work

Classification, extraction and simple chat usually achieve better unit economics on Sonnet or Haiku.

Prompt cache playbook

Stabilize the prefix

Keep policies, tool schemas and repository maps unchanged.

Write once

Place the cache breakpoint after the reusable context.

Read repeatedly

Append only the task-specific delta on later turns.

Migrate without a rewrite

Keep your preferred SDK and change the base URL, key and model ID.

messages.ts

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({
  apiKey: process.env.COMETAPI_KEY,
  baseURL: 'https://api.cometapi.com',
});

const message = await client.messages.create({
  model: 'doubao-seed-2-1-turbo-260628',
  max_tokens: 4096,
  messages: [{ role: 'user', content: 'Review this change.' }],
});

API

Copy a working endpoint and code example, then open the complete API reference when you need every parameter.

One API, production-ready model access

Authenticate once, call the model endpoint and keep the same billing and observability workflow across providers.

POST/v1/chat/completions

Sample code and API for Doubao-Seed-2.1-turbo

Access comprehensive sample code and API resources for Doubao-Seed-2.1-turbo to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of Doubao-Seed-2.1-turbo in your projects.

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();

Capabilities

Scan the model facts that matter before you choose an architecture or estimate production workload.

Supported capabilities

Features returned by the existing model API.

text-to-text

Input and output

Inputs

text

Outputs

text

Production profile

Provider: Bytedance
Context: Model specific
Commercial use: Supported

Use cases

Use Doubao-Seed-2.1-turbo for production workflows that match its text capabilities, then compare alternatives before committing to a long-term integration.

Production chat and agent workflows

Coding, analysis and structured generation

High-volume automation through one API

Other models

Compare other models available through CometAPI for different quality, latency, capability and pricing trade-offs.

Open model comparison →

CometAPI

AUTO

CometAPI Auto API is an intelligent model routing feature that allows developers to access the appropriate AI model without specifying a specific model ID for each request.

View model

Anthropic

Claude Fable 5.2

Claude Fable 5.2 is Anthropic's advanced AI model for complex, open-ended technical work that requires sustained reasoning, planning, and execution across multiple steps.

View model

Google

Gemini 4 Carbon

Gemini 4 Carbon is Google's reasoning model for complex software engineering, scientific reasoning, and sustained agent workflows. It is available on CometAPI through the native Gemini API and OpenAI-compatible Chat API.

View model

Hunyuan

Hy 4

Tencent Hy4 is a next-generation large language model developed by Tencent's Hunyuan team, designed for complex reasoning, agentic workflows, software engineering, and real-world productivity tasks.

View model

OpenAI

GPT-6 Luna

GPT-6 Luna (gpt-6-luna) is OpenAI's efficient GPT-6 model for focused, high-volume workloads. OpenAI positions Luna below GPT-6 Sol in the GPT-6 family, emphasizing efficiency, repeatability, and cost-sensitive production use.

View model

DeepSeek

DeepSeek V4.1 Flash

On October 17, 2026, the company released **DeepSeek-V4.1-Flash-1017**, a targeted update to its V4.1-Flash model (originally launched September 10, 2026). Marketed as delivering substantial improvements in reasoning, coding, agentic capabilities, and visual understanding—while reducing task execution time and output length—this checkpoint is positioned as DeepSeek’s most powerful efficient model to date for real-world agent and coding workloads.

View model

Uptime

Review live heartbeat data, endpoint availability and observed response times before moving into production.

Uptime

Request success rate over the last 30 days, reflecting the reliability of each model provider. CometAPI monitors all connected providers in real time, 24/7.

Respond

3985msAvg. Response

Uptime

99.9%Avg. Uptime

Versions

Review available model identifiers before pinning a production integration.

doubao-seed-2-1-turbo-260628

Updates

Follow meaningful availability, pricing and capability changes for Doubao-Seed-2.1-turbo without losing the stable model page.

Model changelog

One page that gets stronger over time.

Release notes, pricing changes, benchmark updates and migration guidance accumulate here while the canonical URL stays unchanged.

Jun 23, 2026

API availability confirmed

Doubao-Seed-2.1-turbo is available through the CometAPI model catalog and API documentation.

Current

Live data

Pricing and limits synced from the catalog

Price, context, availability and limits are treated as dynamic properties instead of being embedded in the page title or model identity.

Jun 23, 2026

Permanent model entity created

The provider and model slug form a durable canonical URL; future content and data updates remain on this page.

Keep exploring

Compare models and continue your research

Bytedance

Available

doubao-seed-2-1-turbo-260628

Doubao-Seed-2.1-turbo API

doubao-seed-2-1-turbo-260628 balances performance and cost, with upgraded coding, agent, and multimodal capabilities for real-world complex tasks.

Starting price

$0.3333 / 1M input tokens

Usage-based billing

API health

Available

Production endpoint

Response

Async ready

Observed API response

Released

Jun 23, 2026

Bytedance

Playground

Try Doubao-Seed-2.1-turbo with a real request, review its parameters and validate the output before integrating the API.

Pricing

Use the quick estimate above for a single run, then review the full CometAPI and official-price comparison.

First request

$0.0020

Estimated CometAPI usage cost

Ten requests

$0.0200

Estimated CometAPI usage cost

Fifteen requests

$0.0300

Estimated CometAPI usage cost

⇌

Credits conversion

1,000 credits = $1

Credits make budgets comparable across token, request and runtime billing. The USD amount remains the source of truth at checkout.

✓Current model in credits

Input

333

credits / 1M tokens

Output

1,666

credits / 1M tokens

Model	Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
doubao-seed-2-1-turbo-260628	Input: $0.3333/M Output: $1.67/M	Input: $0.4166/M Output: $2.08/M	-20%

Model brief

A stable model identity for search and evaluation, paired with live catalog data that can change without rewriting the page's core SEO structure.

Stable identity

What is Doubao-Seed-2.1-turbo?

doubao-seed-2-1-turbo-260628 balances performance and cost, with upgraded coding, agent, and multimodal capabilities for real-world complex tasks.

Canonical model identity stays stable as pricing and limits change.

Live model data

Current catalog snapshot

Availability

Available

Starting price

$0.3333 / 1M input tokens

Context

See capabilities

Catalog date

Jun 23, 2026

Playground 2.0 / Decision desk

Decide first. Integrate with confidence.

One workspace to compare models, tune prompts, inspect routing, migrate code and ship a tested starting point.

Anchored to Doubao-Seed-2.1-turbo

Workflows

Compare before you commit

Run the same prompt across leading models and get a recommendation with evidence.

3 models · 1 run

Evaluation prompt

codingtemperature 0.2JSON output

GPT-5

OpenAI

Quality

91/100

Latency

1.2s

Est. cost

$0.018

Claude Opus 5

Anthropic

AI pick

Quality

95/100

Latency

1.8s

Est. cost

$0.024

Gemini 3 Pro

Google

Quality

89/100

Latency

0.9s

Est. cost

$0.011

Recommendation: choose Claude Opus 5 for high-risk code review; route routine checks to Gemini 3 Pro to cut cost by ~54%.

Overview

A practical overview of Doubao-Seed-2.1-turbo, including important behavior and integration considerations.

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?

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

Coding and Engineering Assistance

Agentic Task Execution

Multimodal Understanding

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 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

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

FAQ

Model decision center

Know the cost. Choose the right workload.

Model the five billing dimensions, test a realistic workload and decide where Opus earns its premium before you ship.

20% below official$0.3333 vs $0.4166 / 1M input

Cost lab

Price a real agent run

Replay real workloads instead of comparing token prices in isolation. Load a preset, then adjust every billing dimension.

Fresh input tokens

tokens

Output tokens

tokens

$0.3333

/ 1M tokens

Input

New instructions, files and conversation context sent each turn.

Trim retrieved context before it reaches the model.

$1.67

/ 1M tokens

Output

Reasoning, code and text generated by the model.

Use explicit completion criteria and output limits.

Where Opus earns the premium

Best fit

Repository-scale engineering

Use Opus when the task spans architecture, multiple files and ambiguous implementation trade-offs.

Best fit

Long-running agents

A strong choice when an agent must preserve intent across many tool calls and recovery steps.

Worth the premium

High-value review

Reserve it for security, migration and production reviews where a missed issue costs more than tokens.

Use a lighter model

Routine high-volume work

Classification, extraction and simple chat usually achieve better unit economics on Sonnet or Haiku.

Prompt cache playbook

Stabilize the prefix

Keep policies, tool schemas and repository maps unchanged.

Write once

Place the cache breakpoint after the reusable context.

Read repeatedly

Append only the task-specific delta on later turns.

Migrate without a rewrite

Keep your preferred SDK and change the base URL, key and model ID.

messages.ts

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({
  apiKey: process.env.COMETAPI_KEY,
  baseURL: 'https://api.cometapi.com',
});

const message = await client.messages.create({
  model: 'doubao-seed-2-1-turbo-260628',
  max_tokens: 4096,
  messages: [{ role: 'user', content: 'Review this change.' }],
});

API

Copy a working endpoint and code example, then open the complete API reference when you need every parameter.

One API, production-ready model access

Authenticate once, call the model endpoint and keep the same billing and observability workflow across providers.

POST/v1/chat/completions

Sample code and API for Doubao-Seed-2.1-turbo

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();

Capabilities

Scan the model facts that matter before you choose an architecture or estimate production workload.

Supported capabilities

Features returned by the existing model API.

text-to-text

Input and output

Inputs

text

Outputs

text

Production profile

Provider: Bytedance
Context: Model specific
Commercial use: Supported

Use cases

Use Doubao-Seed-2.1-turbo for production workflows that match its text capabilities, then compare alternatives before committing to a long-term integration.

Production chat and agent workflows

Coding, analysis and structured generation

High-volume automation through one API

Other models

Compare other models available through CometAPI for different quality, latency, capability and pricing trade-offs.

Open model comparison →

CometAPI

AUTO

CometAPI Auto API is an intelligent model routing feature that allows developers to access the appropriate AI model without specifying a specific model ID for each request.

View model

Anthropic

Claude Fable 5.2

Claude Fable 5.2 is Anthropic's advanced AI model for complex, open-ended technical work that requires sustained reasoning, planning, and execution across multiple steps.

Tencent Hy4 is a next-generation large language model developed by Tencent's Hunyuan team, designed for complex reasoning, agentic workflows, software engineering, and real-world productivity tasks.

Uptime

Review live heartbeat data, endpoint availability and observed response times before moving into production.

Uptime

Request success rate over the last 30 days, reflecting the reliability of each model provider. CometAPI monitors all connected providers in real time, 24/7.

Respond

3985msAvg. Response

Uptime

99.9%Avg. Uptime

Versions

Review available model identifiers before pinning a production integration.

doubao-seed-2-1-turbo-260628

Updates

Follow meaningful availability, pricing and capability changes for Doubao-Seed-2.1-turbo without losing the stable model page.

Model changelog

One page that gets stronger over time.

Release notes, pricing changes, benchmark updates and migration guidance accumulate here while the canonical URL stays unchanged.

Jun 23, 2026

API availability confirmed

Doubao-Seed-2.1-turbo is available through the CometAPI model catalog and API documentation.

Current

Live data

Pricing and limits synced from the catalog

Price, context, availability and limits are treated as dynamic properties instead of being embedded in the page title or model identity.

Jun 23, 2026

Permanent model entity created

The provider and model slug form a durable canonical URL; future content and data updates remain on this page.

Keep exploring