ByteDance

Doubao-Seed-Character

bytedance/doubao-seed-character
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Doubao-Seed-Character 是面向新一代虚拟陪伴场景打造的 Seed 分支模型,擅长虚拟演绎与“真人”风格的角色扮演,支持剧情创作、剧情演绎与推动、多人聊天等多类对话互动场景。 模型在角色理解、人设保持、多轮对话、剧情推进与互动表达上持续增强,能够稳定理解用户意图、延续角色设定,并以更具画面感的语言带来自然、生动、连贯的互动体验。

Input / output modalities
Not provided to Not provided
Reference input / output price
Input¥0.8Output¥2per 1M tokens
Context window
128K
Added to catalog
Jun 23, 2026

Providers and pricing

ProviderInput lengthInput /MOutput /MCached /MContextMax outputDetails
Bytedance≤ 32K¥0.8¥2¥0.16128K96K
≥ 32K¥1.2¥6¥0.16

Bytedance

Latency
0.65s
Throughput
110 tokens/s
Context
128K

Pricing

Input
¥0.8/M tokens
Output
¥2/M tokens
Cached
¥0.16/M tokens

Tiered pricing

Pricing varies by input token range.

0–32K Token

Input tier
¥0.8/M tokens
Output tier
¥2/M tokens
Cached tier
¥0.16/M tokens

32K–∞ Token

Input tier
¥1.2/M tokens
Output tier
¥6/M tokens
Cached tier
¥0.16/M tokens

Additional pricing

Tools · Web search preview
¥0.006

Specifications

Context
128K
Max output
96K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Doubao-Seed-Character 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-character", 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}")
                
              

No public applications are currently listed for this model.

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