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Qwen3 VL Flash
Alibaba (Qwen)
Vision & OCRChat & customer support
model: qwen3-vl-flash
Try itDemo
Advanced parameters
⌘/Ctrl + Enter to send
Demo mode: doesn't call the upstream model. After signup with your key, the same request hits the real model.
Use cases
- Real-time vision
- Quick OCR
Code samples
cURL
curl https://api.sealink.asia/v1/chat/completions \-H "Authorization: Bearer $SEALINK_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "qwen3-vl-flash","messages": [{"role": "user", "content": "Hello."}]}'
Python (OpenAI SDK)
from openai import OpenAIclient = OpenAI(base_url="https://api.sealink.asia/v1", api_key="<your-sealink-key>")resp = client.chat.completions.create(model="qwen3-vl-flash",messages=[{"role": "user", "content": "Hello."}],)print(resp.choices[0].message.content)
Node.js (OpenAI SDK)
import OpenAI from "openai";const client = new OpenAI({baseURL: "https://api.sealink.asia/v1",apiKey: process.env.SEALINK_API_KEY,});const resp = await client.chat.completions.create({model: "qwen3-vl-flash",messages: [{ role: "user", content: "Hello." }],});console.log(resp.choices[0].message.content);
Once you sign in, your base_url and API key will be inlined automatically.
Performance
Last 30 days from SeaLink's own probes; launch values use model-tier estimates until live probe history is available.
TTFT P50
584ms
TTFT P95
1261ms
Tokens/sec
108
30d uptime
99.97%
Capabilities & limits
- Context length
- 128K tokens
- Capabilities
- multimodal · streaming
- Status
- operational