Is Seed Evolving a standalone AI model?

No. Seed Evolving is a development methodology and training framework rather than a separately deployed model like Seedance or Seedream.

How does Seed Evolving improve model performance?

It uses automated evaluation systems, synthetic data generation, reinforcement learning, and iterative training cycles to continuously refine future model generations.

Which models benefit from Seed Evolving?

The approach appears to support the broader Seed ecosystem, including Seed 2.0, Seed 2.1, Seed1.8, Seedance, and other multimodal models developed by ByteDance.

Does Seed Evolving support multimodal AI?

Yes. The Seed ecosystem is designed around multimodal understanding across text, image, audio, video, and agent-interaction environments.

How is Seed Evolving different from traditional AI training?

Traditional AI training often relies on static datasets and periodic releases, while Seed Evolving introduces continuous feedback loops that allow models to contribute to future model improvements.

Why is Seed Evolving important for AI agents?

The framework is designed to improve long-horizon planning, tool use, reasoning, coding, and real-world task execution, which are critical capabilities for advanced AI agents.

實惠的 Doubao-Seed-Evolving API | text-to-text

Q: What is Seed Evolving?

Seed Evolving is ByteDance's self-improving AI development framework that enables Seed models to help improve future generations through evaluation, data generation, training, and infrastructure feedback loops.

Doubao-Seed-Evolving 的 Playground

探索 Doubao-Seed-Evolving 的 Playground — 一個互動式環境，可測試模型並即時執行查詢。嘗試提示、調整參數，並立即迭代以加速開發並驗證使用案例。

Technical Specifications of Seed Evolving

Item	Doubao Seed Evolving
Provider	ByteDance Seed Team
Model Type	Self-improving multimodal foundation model framework
Family	Seed / Doubao Ecosystem
Modalities	Text, Image, Video, Audio, Agent Tasks
Architecture Focus	Self-evolution through evaluation, data generation, training, and infrastructure feedback loops
Primary Goal	Continuous model improvement and autonomous capability expansion
Availability	Research framework integrated into Seed family development
Latest Related Generation	Seed 2.1
Deployment Focus	Agent systems, reasoning, multimodal understanding, real-world task execution

What is Seed Evolving?

"Seed Evolving" is not a standalone commercial model like Seedance or Seedream. Instead, it refers to ByteDance Seed's self-evolving AI development framework that continuously improves future generations of Seed models through automated evaluation, data generation, reinforcement learning, training optimization, and infrastructure feedback. ByteDance describes this internally as a "Seed-for-Seed" lifecycle where models help improve future models.

The concept became more visible with the release of Seed 2.1, where ByteDance discussed a self-evolving lifecycle composed of:

Evaluation Loop
Data Loop
Training Loop
Infrastructure Loop

These systems allow newer Seed models to participate in generating training signals and improving subsequent model generations.

Main Features of Seed Evolving

Self-improving training pipeline where models contribute to future model development.
Automated evaluation systems that identify weaknesses and generate improvement targets.
Agent-centric optimization designed for long-horizon task execution rather than simple chat interactions.
Multimodal learning across text, images, audio, video, and GUI environments.
Real-world task orientation focusing on tool use, coding, browsing, and multi-step workflows.
Scalable model evolution framework intended to improve performance without relying solely on manual dataset construction.

Benchmark Performance

ByteDance has not published benchmark numbers specifically for "Seed Evolving" because it is a methodology rather than a deployable model.

Performance is reflected through newer Seed-family models:

Benchmark	Seed Family Result
BrowseComp	77.3
τ²-Bench Retail	90.4
τ²-Bench Telecom	94.2
Terminal Bench 2.0	55.8

These benchmark improvements are cited as outcomes of the broader Seed 2.0 development process and evolving training ecosystem.

Seed Evolving vs Traditional Model Development

Feature	Seed Evolving	Traditional AI Training
Evaluation	Continuous automated feedback	Periodic human evaluation
Data Creation	Model-assisted generation	Mostly human-curated
Improvement Cycle	Continuous	Release-based
Agent Learning	Core focus	Often secondary
Multimodal Optimization	Native	Frequently separate systems
Scaling Strategy	Self-reinforcing loops	Larger datasets and comput

常見問題

Doubao-Seed-Evolving 的定價

探索 Doubao-Seed-Evolving 的競爭性定價，專為滿足各種預算和使用需求而設計。我們靈活的方案確保您只需為實際使用量付費，讓您能夠隨著需求增長輕鬆擴展。了解 Doubao-Seed-Evolving 如何在保持成本可控的同時提升您的專案效果。

Model	Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
doubao-seed-evolving	輸入:$0.66672/M 輸出:$3.3336/M	輸入:$0.8334/M 輸出:$4.167/M	-20%

Doubao-Seed-Evolving 的範例程式碼和 API

存取完整的範例程式碼和 API 資源，以簡化您的 Doubao-Seed-Evolving 整合流程。我們詳盡的文件提供逐步指引，協助您在專案中充分發揮 Doubao-Seed-Evolving 的潛力。

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-evolving",
    "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-evolving",
    "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-evolving",
    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-evolving",
    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();

Uptime

過去 30 天的請求成功率，反映每個模型供應商的可靠性。CometAPI 全天候即時監控所有已連接的供應商。

RespondLIVE

12007msAvg. Response

UptimeLIVE

97.3%Avg. Uptime

Doubao-Seed-Evolving的版本

Doubao-Seed-Evolving擁有多個快照的原因可能包括：更新後輸出結果存在差異需保留舊版快照以確保一致性、為開發者提供適應與遷移的過渡期，以及不同快照對應全球或區域端點以優化使用者體驗等潛在因素。各版本間的具體差異請參閱官方文件說明。

Version
doubao-seed-evolving