Qwen Chat
Qwen Chat chat models are called through one simple endpoint: send a messages array plus the model slug and get the reply text back. This family exposes 3 models.
Overview
Send a standard messages array (user / assistant / system roles). Billing is deducted from your credit balance per response; the response includes your remaining balance.
Authentication
Create an API key at /api-keys, then send it as a Bearer token. Requests from the browser while logged in also work via the session cookie.
Authorization: Bearer <YOUR_API_KEY>OpenAI-compatible Chat Completions
POST https://api.lithovas.com/v1/chat/completionsUse this endpoint for developer integrations: point your OpenAI SDK base_url to https://api.lithovas.com/v1 and send a Lithovas API key.
model: "chat/qwen3-7-plus"; /v1/chat/completions also accepts the Qwen model ID qwen/qwen3.7-plus. Vision input accepts public HTTPS image URLs and data:image/...;base64,... image Data URLs. Publicly accessible COS, CloudBase, and OSS signed URLs can be used as image input. Public pricing is $0.32/M input tokens and $1.28/M output tokens.model: "chat/qwen3-8-max"; /v1/chat/completions also accepts the Qwen model ID qwen/qwen3.8-max. Text and image image_url content parts are supported; video input is not yet exposed by the Lithovas chat parser. Public pricing is $2/M input tokens and $6/M output tokens.from openai import OpenAI
client = OpenAI(
api_key="YOUR_LITHOVAS_API_KEY",
base_url="https://api.lithovas.com/v1",
)
completion = client.chat.completions.create(
model="chat/qwen3-7-plus",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "你是谁"},
],
)
print(completion.choices[0].message.content)curl -X POST https://api.lithovas.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "chat/qwen3-7-plus",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "你是谁" }
]
}'from openai import OpenAI
import base64
client = OpenAI(
api_key="YOUR_LITHOVAS_API_KEY",
base_url="https://api.lithovas.com/v1",
)
image_url = "https://example.com/photo.jpg"
# Alternative: local image as Base64 Data URL.
# with open("photo.png", "rb") as f:
# image_url = f"data:image/png;base64,{base64.b64encode(f.read()).decode('utf-8')}"
completion = client.chat.completions.create(
model="chat/qwen3-7-plus",
messages=[{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": image_url}},
{"type": "text", "text": "请描述这张图片"},
],
}],
)
print(completion.choices[0].message.content)curl -X POST https://api.lithovas.com/api/uploads \
-H "Authorization: Bearer $API_KEY" \
-F "file=@photo.png"
# Use the returned "url" as image_url.url in /v1/chat/completions.Chat Completions
POST https://api.lithovas.com/api/chatBody: { "model": "<slug>", "messages": [{ "role": "user", "content": "…" }] }
Response: { "text": "<assistant reply>", "credits": <billed>, "balance": <remaining> }
Models
| Model | Provider | model slug |
|---|---|---|
| Qwen3 VL 32B Instruct | Qwen | chat/qwen3-vl-32b-instruct |
| Qwen3.7 Plus | Qwen | chat/qwen3-7-plus |
| Qwen3.8 Max | Qwen | chat/qwen3-8-max |
Qwen3 VL 32B Instruct
/v1/chat/completionscurl -X POST https://api.lithovas.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "chat/qwen3-vl-32b-instruct",
"messages": [{
"role": "user",
"content": [
{ "type": "text", "text": "Describe this image." },
{ "type": "image_url", "image_url": { "url": "https://example.com/photo.jpg" } }
]
}]
}'Qwen3.7 Plus
/v1/chat/completionscurl -X POST https://api.lithovas.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "chat/qwen3-7-plus",
"messages": [{
"role": "user",
"content": [
{ "type": "text", "text": "Describe this image." },
{ "type": "image_url", "image_url": { "url": "https://example.com/photo.jpg" } }
]
}]
}'Qwen3.8 Max
/v1/chat/completionscurl -X POST https://api.lithovas.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "chat/qwen3-8-max",
"messages": [{
"role": "user",
"content": [
{ "type": "text", "text": "Describe this image." },
{ "type": "image_url", "image_url": { "url": "https://example.com/photo.jpg" } }
]
}]
}'