Alibaba (Qwen) / wan2.7-videoedit

WAN 2.7 Video Edit

WAN 2.7 Video Edit edits existing video assets, adjusting motion, shots, and style from a source clip.

Video editing

Context

tokens

Input

$0.180

/ second

Output

$0.180

/ second

Quality

#22

Elo 1235

Overview

What this model is good for

WAN 2.7 Video Edit edits existing video assets, adjusting motion, shots, and style from a source clip.

Model capabilities

Video output

Can produce video output for generation or editing workflows.

Model maker

Model maker and access

This section shows the model maker, SeaLink model ID, protocol, and pricing information.

Alibaba (Qwen)

Called through SeaLink's unified account, balance, and OpenAI-compatible API.

Protocol

Video generation API

Base URL: https://test.sealink.io/v1

Pricing

Pricing and cost sense

Prices come from the current model catalog. Simple estimates help users judge whether the model fits production volume.

Input$0.180/ second

Output$0.180/ second

Actual billing follows usage logs and billing records; caching and media pricing depend on the endpoint.

API

Copy into your code

The model page should make it clear which model to copy, which base URL to use, and where to get an API Key.

model

wan2.7-videoedit

base_url

https://test.sealink.io/v1

Auth

Bearer $SEALINK_API_KEY

cURL

curl https://test.sealink.io/v1/chat/completions \
  -H "Authorization: Bearer $SEALINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan2.7-videoedit",
    "messages": [{"role": "user", "content": "Hello."}]
  }'

Python (OpenAI SDK)

from openai import OpenAI
client = OpenAI(base_url="https://test.sealink.io/v1", api_key="<your-sealink-key>")

resp = client.chat.completions.create(
    model="wan2.7-videoedit",
    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://test.sealink.io/v1",
  apiKey: process.env.SEALINK_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "wan2.7-videoedit",
  messages: [{ role: "user", content: "Hello." }],
});
console.log(resp.choices[0].message.content);