Qwen 3 Coder 480B flagship coding model
Qwen 3 Coder 480B stands as the flagship coding model within the Qwen family, engineered for complex software engineering tasks. With 480 billion parameters and a 128,000 token context window, it handles extensive codebases and multi-file refactoring with precision. Developers can integrate this FP16 quantized model immediately via our API, enabling rapid prototyping without extensive documentation review. Researchers will find comprehensive benchmark data comparing performance against alternative models on Arabic and English tasks, ensuring this architecture fits diverse pipelines requiring bilingual validation. The Apache 2.0 license ensures flexibility for commercial deployment.
For enterprise decision-makers, this model offers production-ready stability with native Arabic language support, eliminating the need for translation layers. Pricing is transparent based on a 4x credit multiplier relative to the base rate, accessible from the starter tier. This structure allows teams to forecast costs accurately in regional currencies including KWD, SAR, and AED while maintaining high performance standards. Whether optimizing legacy systems or building new applications, Qwen 3 Coder 480B delivers the reliability required for critical infrastructure. Our platform ensures seamless access, allowing you to focus on scaling solutions rather than managing infrastructure complexities.
from openai import OpenAI
client = OpenAI(
base_url="https://llmapi.resayil.io/v1/",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="qwen3-coder:480b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
const response = await fetch(
"https://llmapi.resayil.io/v1/chat/completions",
{
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": "Bearer YOUR_API_KEY"
},
body: JSON.stringify({
model: "qwen3-coder:480b",
messages: [
{ role: "user", content: "Hello!" }
]
})
}
);
const data = await response.json();
console.log(data.choices[0].message.content);
curl https://llmapi.resayil.io/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "qwen3-coder:480b",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'