Qwen3 Max API
Qwen3 Max is Alibaba’s flagship Qwen model on OpenLux: dependable Chinese and coding performance with tool calling at $0.0784 per million tokens — 88% below list pricing.
Pay-as-you-go rate
$0.0784 / 1M tokens
-88% vs official list pricing. Billed in USD, metered per request with real-time cost in the console.
Access
One OpenLux key and the OpenAI-compatible endpoint: set base_url to https://openlux.lol/v1 and pass qwen3-max as the model.
Get started
Create a key in the console, then follow the five-minute docs for streaming, tools and error codes.
What Qwen3 Max delivers
Qwen3 Max is the strongest model of the Qwen family, with particular strengths in Chinese-language tasks and code generation. It follows instructions precisely and produces well-structured output, which makes it dependable inside application pipelines.
On OpenLux it costs $0.0784 per 1M tokens — about a fifth of gpt-6-astra and on par with high-throughput Flash-class models — while supporting function calling for agent use.
It complements DeepSeek V4 in the same tier: Qwen leans coding and general Chinese tasks, DeepSeek leans reasoning. Both are called with the same key, so you can compare on your own traffic.
Call Qwen3 Max in minutes
Every OpenLux model speaks the OpenAI protocol. Reuse your existing SDKs and replace two values: the base URL and the API key.
cURL
curl https://openlux.lol/v1/chat/completions \
-H "Authorization: Bearer $OPENLUX_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-max",
"messages": [{"role": "user", "content": "Rewrite this product description in Chinese and generate three SEO title options."}]
}'Python (OpenAI SDK)
from openai import OpenAI
client = OpenAI(
api_key="sk-openlux-...",
base_url="https://openlux.lol/v1",
)
resp = client.chat.completions.create(
model="qwen3-max",
messages=[{"role": "user", "content": "Rewrite this product description in Chinese and generate three SEO title options."}],
)
print(resp.choices[0].message.content)Node.js (OpenAI SDK)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPENLUX_API_KEY,
baseURL: "https://openlux.lol/v1",
});
const resp = await client.chat.completions.create({
model: "qwen3-max",
messages: [{ role: "user", content: "Rewrite this product description in Chinese and generate three SEO title options." }],
});
console.log(resp.choices[0].message.content);Where Qwen3 Max fits
Chinese excellence
Natural, idiomatic Chinese generation and comprehension.
Coding
Code generation and explanation across common languages.
Tool calling
Function calling for assistants and application integrations.
Structured output
Follows formats and schemas closely — useful for parsing pipelines.
Chinese-market products
User-facing content and assistants for Chinese-speaking audiences.
Code generation
Drafting, explaining and translating code in developer tools.
Structured extraction
Reliable JSON and schema-shaped output for data pipelines.
How qwen3-max is priced on OpenLux
Qwen3 Max is metered pay as you go at $0.0784 / 1M tokens (-88% vs official rates). There is no subscription requirement for API access: top up a balance, call the model, and see the cost of every request in the console.
| Model | Provider | Rate | Discount |
|---|---|---|---|
| qwen3-max (this model) | Qwen | $0.0784 / 1M tokens | -88% |
| deepseek-v4 | DeepSeek | $0.0613 / 1M tokens | -90% |
| gpt-5.6-sol | OpenAI | $0.1838 / 1M tokens | -96% |
| gemini-3.8-flash | $0.0551 / 1M tokens | -92% |
Rates follow official provider pricing and are shown in USD. See the full model catalogue and pricing plans for credit allowances.
Qwen3 Max questions
How much does Qwen3 Max cost on OpenLux?
$0.0784 per 1 million tokens, 88% below list pricing, metered pay as you go.
How do I call Qwen3 Max?
Set base_url to https://openlux.lol/v1 and use "model": "qwen3-max" with your OpenLux key — the same pattern as every model in the catalogue.
Qwen3 Max or DeepSeek V4 — which should I use?
At $0.0784 vs $0.0613 per 1M tokens the prices are close: Qwen leans coding and structured output, DeepSeek leans reasoning depth. Both are on the same endpoint, so A/B testing on your own traffic costs nothing extra.
Does Qwen3 Max support tool calling?
Yes — function calling is supported for agent and pipeline integrations, along with streamed responses.
Start calling Qwen3 Max today
Create an OpenLux key and send your first request in minutes. Compare Qwen3 Max with the rest of the catalogue on the same endpoint and the same bill.