Code Qwen

Qwen 3 Coder 480B

Qwen 3 Coder 480B flagship coding model

480B
Parameters
128K
Context Window
Credit Rate
Starter
Min Tier

Overview

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.

Specifications

Display Name Qwen 3 Coder 480B
Family Qwen
Category Code
Parameters 480B
Context Window 128,000 tokens
Quantization FP16
License APACHE-2.0
Min Tier Starter
Status Available

Pricing

credits per token
1K 4,000 Credits
10K 40,000 Credits
100K 400,000 Credits
View Pricing Plans

Code Examples

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!"}
    ]
  }'

Use Cases

Generating complex code snippets and functions
Analyzing entire repositories for security vulnerabilities
Debugging and resolving complex software errors
Writing comprehensive unit tests for applications
Translating code between different programming languages

In-Depth Guide

Full Guide
Complete Guide to Qwen 3 Coder 480B — LLM Resayil

Related Models

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