Qwen3-Coder API

The Qwen3-Coder API is a code generation and completion API based on Alibaba’s Qwen3 language model family, optimized for software development tasks such as writing, understanding, and debugging code across multiple programming languages.

Alibaba Group officially launched Qwen3‑Coder, an open‑source artificial intelligence model tailored for software development and autonomous coding tasks. The announcement positions Qwen3‑Coder as the company’s most advanced coding model to date, boasting unprecedented scale and performance capabilities designed to meet the complex needs of modern software engineering teams .

Key Features

Strongest Agent Coding Capability: Using the Mixture‑of‑Experts architecture with 480 billion parameters, it actually activates about 35 billion parameters and has the strongest Agentic Coding capability among open source models

Ultra-long context support: natively supports 256K tokens, and the upper limit can be expanded to 1M tokens, which is suitable for processing the entire code repository or complex Pull Request processes

Leading training method: Using 7.5T code as the main training data (code accounts for about 70%), combined with Code‑RL and multi-step Agent intensive training, it achieves open source SOTA performance on benchmarks such as SWE‑Bench Verified

Complete tool chain ecosystem: With the open source command line tool Qwen Code (based on Gemini CLI), it supports the function-calling protocol, thereby realizing chain tool calls and multi-round coding tasks

Model Versions

Comparison: Open-Source vs Plus

Use Cases

Terminal & CLI Integration：Comes with a CLI tool (qwen-code) compatible with OpenAI API specs.

Multi-turn Coding Assistance:Ideal for step-by-step problem solving and software agent development.

Large Codebase Comprehension: Can ingest and reason over entire GitHub repositories.

Bug Fixing and Refactoring: Suggests fixes, generates tests, and improves existing code structure.

Performance Benchmarks

In internal benchmarks, Qwen3‑Coder outperformed leading domestic competitors including DeepSeek and Moonshot AI’s K2 on key coding metrics, such as code generation accuracy and multi‑file debugging. Moreover, Alibaba claims parity with top U.S. models—namely OpenAI’s GPT‑4 and Anthropic’s Claude—on standard coding challenges, underscoring its competitiveness on a global scale .

How to Qwen3‑Coder API from CometAPI

Qwen3‑Coder API Pricing in CometAPI，20% off the official price:

Required Steps

• Log in to cometapi.com. If you are not our user yet, please register first
• Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.
• Get the url of this site: https://api.cometapi.com/

Use Method

1. Select the “qwen3-coder-plus” or “qwen3-coder-480b-a35b-instruct” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience.
2. Replace <YOUR_API_KEY> with your actual CometAPI key from your account.
3. Insert your question or request into the content field—this is what the model will respond to.
4. . Process the API response to get the generated answer.

CometAPI provides a fully compatible REST API—for seamless migration. Key details:

• Base URL: https://api.cometapi.com/v1/chat/completions
• Model Names: “qwen3-coder-plus” or “qwen3-coder-480b-a35b-instruct”
• Authentication:Bearer YOUR_CometAPI_API_KEY header
• Content-Type: application/json .

Here’s a sample cURL snippet for invoking the Qwen3‑Coder API:

Via Python (OpenAI-compatible API)

from openai import OpenAI

client = OpenAI(
    api_key="your-key",
    base_url="https://api.cometapi.com/v1/chat/completions"
)

response = client.chat.completions.create(
    model="qwen3-coder-plus",
    messages=
)
print(response.choices.message.content)

• Authorization: Replace YOUR_API_KEY with your CometAPI token.

See Also Grok 4 API