Alibaba (Qwen) / qwen3.6-plus
Qwen3.6 Plus stands out for Qwen tier balancing capability, cost, and long context and Combines visual understanding with enterprise agent workflows. It is best suited to enterprise agents and long documents with images.
Context
1M
token
Input
$0.276
/ 1M tokens
Output
$1.651
/ 1M tokens
Quality
#47
Elo 1230
Overview
Qwen3.6 Plus stands out for Qwen tier balancing capability, cost, and long context and Combines visual understanding with enterprise agent workflows. It is best suited to enterprise agents and long documents with images.
Multimodal
Supports mixed text-image input and can use a 1M-token context window for longer material.
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.
Model maker
Alibaba (Qwen)
Called through SeaLink's unified account, balance, and OpenAI-compatible API.
Protocol
OpenAI-compatible Chat Completions
Base URL: https://api.sealink.io/v1
Pricing
Light production run
100K input + 25K output
$0.0689
Higher-volume run
1M input + 250K output
$0.6887
The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.
API
model
qwen3.6-plusbase_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": "qwen3.6-plus","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="qwen3.6-plus",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: "qwen3.6-plus",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);