Discover the Qwen3 Coder 480B A35B, a sophisticated code generation model developed by Qwen. Released on July 23, 2025, this model is designed for agentic coding tasks like function calling and tool use. With a total of 480 billion parameters, it operates with 35 billion active per forward pass, thanks to its Mixture-of-Experts architecture. The model supports a context window of up to 262,000 tokens, making it highly effective for long-context reasoning over repositories. It processes text inputs and outputs, offering capabilities like frequency and presence penalty adjustments, and tool selection. Ideal for developers looking to enhance coding efficiency.
Use Cases
Here are a few ways teams apply Qwen: Qwen3 Coder 480B A35B (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Generate efficient code functions
Enhance tool integration in coding
Improve long-context code analysis
Automate repetitive coding tasks
Key Features
A quick look at the capabilities that make this model useful in real projects.
480 billion total parameters
35 billion active parameters per pass
Supports up to 262,000 token context
Text input and output modalities
Optimized for function calling and tool use
Specs
Overview
Vendor
qwen
Model ID
qwen/qwen3-coder:free
Release
2025-07-23
Modalities & context
Input
text
Output
text
Context
262,000 tokens
Parameters & defaults
Supported parameters: frequency_penalty, max_tokens, presence_penalty, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: Qwen: Qwen3 Coder 480B A35B (free)
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
The Qwen3 Coder 480B A35B is a language model designed for code generation and programming assistance. It features a parameter count of 480 billion, enabling it to understand and generate code across various programming languages, including Python, JavaScript, and Java. Typical use cases include automating repetitive coding tasks, generating code snippets based on user prompts, and providing debugging assistance.
While the model demonstrates strong capabilities in code generation, users should be aware of certain constraints, such as potential inaccuracies in complex code logic and limitations in understanding context beyond the immediate prompt. Additionally, the model may not always adhere to best coding practices, so it is advisable for users to review and test generated code thoroughly. Overall, the Qwen3 Coder 480B A35B serves as a versatile tool for developers seeking to enhance their coding efficiency.
Run this prompt on Upend.AI