ByteDance

Doubao-Seed-2.0-pro

bytedance/doubao-seed-2-0-pro
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

旗舰级全能通用模型,面向 Agent 时代的复杂推理与长链路任务执行场景。强调多模态理解、长上下文推理、结构化生成与工具增强执行。复杂指令与多约束执行能力突出,可稳定应对多步复杂规划、复杂图文推理、视频内容理解与高难度分析等场景。

Input / output modalities
文本 · 图像 · 视频 to 文本
Reference input / output price
Input¥3.2Output¥16per 1M tokens
Context window
256K
Added to catalog
Mar 14, 2026

Providers and pricing

ProviderInput lengthInput /MOutput /MCached /MContextMax outputDetails
Bytedance≤ 32K¥3.2¥16¥0.64256K128K
32K – 128K¥4.8¥24¥0.96
128K – 256K¥9.6¥48¥1.92

Bytedance

Latency
2s
Throughput
58 tokens/s
Context
256K

Pricing

Input
¥3.2/M tokens
Output
¥16/M tokens
Cached
¥0.64/M tokens

Tiered pricing

Pricing varies by input token range.

0–32K Token

Input tier
¥3.2/M tokens
Output tier
¥16/M tokens
Cached tier
¥0.64/M tokens

32K–128K Token

Input tier
¥4.8/M tokens
Output tier
¥24/M tokens
Cached tier
¥0.96/M tokens

128K–256K Token

Input tier
¥9.6/M tokens
Output tier
¥48/M tokens
Cached tier
¥1.92/M tokens

Additional pricing

Tools · Web search preview
¥0.006

Specifications

Context
256K
Max output
128K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Doubao-Seed-2.0-pro code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="bytedance/doubao-seed-2-0-pro", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

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