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Qwen2.5-Coder 32B

by Alibaba· Released November 2024· Cutoff June 2024

Qwen2.5-Coder 32B is a state-of-the-art code-specific large language model from Alibaba's Qwen series, designed to excel in code generation, reasoning, and software engineering tasks. It is the largest model in the Qwen2.5-Coder family, offering competitive performance against specialized coding models like GPT-4o and Claude 3.5 Sonnet. This model is open-source and available on Hugging Face, making it accessible for both research and commercial use.

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

131072 tokens

Max output

8192 tokens

Modalities

text

Parameters

32B

License

Apache-2.0

Capabilities

Code GenerationCode CompletionCode ReasoningFunction CallingStreamingJSON ModeMulti-language SupportLong Context Understanding

Best For

Advanced code generation, debugging, and software development tasks requiring deep reasoning and large context.

Strengths

Top-tier coding performance, rivaling GPT-4o and Claude 3.5 Sonnet on benchmarks like HumanEval and MBPP
Large 128K context window for handling extensive codebases
Open-source with permissive Apache 2.0 license
Strong multilingual code support including Python, Java, C++, and more

Limitations

Primarily focused on code; less optimized for general natural language tasks
Requires significant computational resources for inference (32B parameters)
May not match specialized models in niche domains like mathematics or science

Use Cases

Automated code generation and completion in IDEs

Code review and bug detection

Refactoring and code translation between languages

Generating unit tests and documentation

Assisting in software architecture design

Educational tool for learning programming

Building AI-powered coding assistants

Improvements Over Previous Model

Introduced as a new model family; no direct predecessor in Qwen2.5-Coder series
Compared to Qwen2.5-32B (general model), Qwen2.5-Coder 32B achieves significantly higher coding benchmarks (e.g., HumanEval 92.7% vs 85%)
Optimized for code with specialized training data and architecture
Supports longer context (128K tokens) than many previous code models
Open-source under Apache 2.0 license, unlike many proprietary coding models

Back to all models

Improvements Over Previous Model

Introduced as a new model family; no direct predecessor in Qwen2.5-Coder series

Compared to Qwen2.5-32B (general model), Qwen2.5-Coder 32B achieves significantly higher coding benchmarks (e.g., HumanEval 92.7% vs 85%)

Optimized for code with specialized training data and architecture

Supports longer context (128K tokens) than many previous code models

Open-source under Apache 2.0 license, unlike many proprietary coding models