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What is Qwen Code?

Qwen3-Coder is a sophisticated coding model available in multiple sizes, with its standout 480B-parameter Mixture-of-Experts variant (featuring 35B active parameters) capable of handling 256K-token contexts that can be expanded to 1M, showcasing superior performance in Agentic Coding, Browser-Use, and Tool-Use tasks, effectively competing with Claude Sonnet 4. The model undergoes a pre-training phase that utilizes a staggering 7.5 trillion tokens, of which 70% consist of code, alongside synthetic data improved from Qwen2.5-Coder, thereby boosting its coding proficiency and overall functionality. Its post-training phase benefits from extensive execution-driven reinforcement learning across 20,000 parallel environments, allowing it to tackle complex multi-turn software engineering tasks like SWE-Bench Verified without requiring test-time scaling. Furthermore, the open-source Qwen Code CLI, adapted from Gemini Code, enables the implementation of Qwen3-Coder in agentic workflows through customized prompts and function calling protocols, ensuring seamless integration with platforms like Node.js and OpenAI SDKs. This blend of powerful features and versatile accessibility makes Qwen3-Coder an invaluable asset for developers aiming to elevate their coding endeavors and streamline their workflows effectively. As a result, it serves as a pivotal resource in the rapidly evolving landscape of programming tools.

What is DeepSeek-Coder-V2?

DeepSeek-Coder-V2 represents an innovative open-source model specifically designed to excel in programming and mathematical reasoning challenges. With its advanced Mixture-of-Experts (MoE) architecture, it features an impressive total of 236 billion parameters, activating 21 billion per token, which greatly enhances its processing efficiency and overall effectiveness. The model has been trained on an extensive dataset containing 6 trillion tokens, significantly boosting its capabilities in both coding generation and solving mathematical problems. Supporting more than 300 programming languages, DeepSeek-Coder-V2 has emerged as a leader in performance across various benchmarks, consistently surpassing other models in the field. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, tailored for tasks based on instructions, and DeepSeek-Coder-V2-Base, which serves well for general text generation purposes. Moreover, lightweight options like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct are specifically designed for environments that demand reduced computational resources. This range of offerings allows developers to choose the model that best fits their unique requirements, ultimately establishing DeepSeek-Coder-V2 as a highly adaptable tool in the ever-evolving programming ecosystem. As technology advances, its role in streamlining coding processes is likely to become even more significant.

Media

Media

Integrations Supported

Claude Fable 5
Claude Haiku 5.5
Claude Opus 4.5
Claude Opus 4.8
Claude Opus 5.5
Claude Sonnet 4.6
Node.js
OpenSpec
PrintHaus
Qwen3.7-Max
QwenCloud
Step 5 Preview

Integrations Supported

C++
Clojure
F#
Java
JavaScript
Python
Rust
TypeScript

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Qwen

Date Founded

2023

Company Location

China

Company Website

github.com/QwenLM/qwen-code

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

www.deepseek.com

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

Categories and Features

AI Code Generators

Not specified

AI Coding Models

Not specified

AI Models

Not specified

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