ByteDance

Doubao-Seed-2.0-lite

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

面向高频企业场景兼顾性能与成本的均衡型模型,综合能力超越上一代Doubao-Seed-1.8。胜任非结构化信息处理、内容创作、搜索推荐、数据分析等生产型工作,支持长上下文、多源信息融合、多步指令执行与高保真结构化输出。在保障稳定效果的同时显著优化成本。

Input / output modalities
文本 · 图像 · 视频 · 音频 to 文本
Reference input / output price
Input¥0.6Output¥3.6per 1M tokens
Context window
256K
Added to catalog
Mar 14, 2026

Providers and pricing

ProviderInput lengthInput /MOutput /MCached /MContextMax outputDetails
Bytedance≤ 32K¥0.6¥3.6¥0.12256K128K
32K – 128K¥0.9¥5.4¥0.18
128K – 256K¥1.8¥10.8¥0.36

Bytedance

Latency
2.21s
Throughput
42 tokens/s
Context
256K

Pricing

Input
¥0.6/M tokens
Output
¥3.6/M tokens
Cached
¥0.12/M tokens

Tiered pricing

Pricing varies by input token range.

0–32K Token

Input tier
¥0.6/M tokens
Output tier
¥3.6/M tokens
Cached tier
¥0.12/M tokens

32K–128K Token

Input tier
¥0.9/M tokens
Output tier
¥5.4/M tokens
Cached tier
¥0.18/M tokens

128K–256K Token

Input tier
¥1.8/M tokens
Output tier
¥10.8/M tokens
Cached tier
¥0.36/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-lite 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-lite", 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}")
                
              

Application data is temporarily unavailable. Model details remain usable.

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