ByteDance (Doubao) / seed-2-0-lite
Seed 2.0 Lite stands out for Balanced Seed 2.0 production tier and Built for high-throughput multimodal agents. It is best suited to production assistants and high-volume visual questions and answers.
Context
256K
token
Input
$0.3125
/ 1M tokens
Output
$2.50
/ 1M tokens
Quality
—
No score
Overview
Seed 2.0 Lite stands out for Balanced Seed 2.0 production tier and Built for high-throughput multimodal agents. It is best suited to production assistants and high-volume visual questions and answers.
Multimodal
Supports mixed text-image input and can use a 256K-token context window for longer material.
Audio input
Can process audio input as part of speech or multimodal workflows.
Tool calling
Can call tools or functions, so product flows can connect model output to backend actions.
Streaming
Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.
Prompt cache
Supports prompt caching patterns for repeated context and longer production conversations.
Reasoning
Better suited for multi-step analysis, planning, and tasks that need deliberate reasoning.
Structured output
Can return machine-readable structures for extraction, automation, and application logic.
Model maker
ByteDance (Doubao)
Called through SeaLink's unified account, balance, and OpenAI-compatible API.
Protocol
Audio API
Base URL: https://api.sealink.io/v1
Pricing
Light production run
100K input + 25K output
$0.0938
Higher-volume run
1M input + 250K output
$0.9375
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
seed-2-0-litebase_url
https://api.sealink.io/v1Auth
Bearer $SEALINK_API_KEYcurl https://api.sealink.io/v1/chat/completions \-H "Authorization: Bearer $SEALINK_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "seed-2-0-lite","messages": [{"role": "user", "content": "Hello."}]}'
from openai import OpenAIclient = OpenAI(base_url="https://api.sealink.io/v1", api_key="<your-sealink-key>")resp = client.chat.completions.create(model="seed-2-0-lite",messages=[{"role": "user", "content": "Hello."}],)print(resp.choices[0].message.content)
import OpenAI from "openai";const client = new OpenAI({baseURL: "https://api.sealink.io/v1",apiKey: process.env.SEALINK_API_KEY,});const resp = await client.chat.completions.create({model: "seed-2-0-lite",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);