Qwen2.5-Coder

Paid

Powerful, Diverse, Practical: Open-Source Code Models

5.0

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Inputs: codeOutputs: code

Type

Saas

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About Qwen2.5-Coder

Qwen2.5-Coder is an open-source code model series released by the Qwen Team on November 12, 2024. It includes six model sizes (0.5B, 1.5B, 3B, 7B, 14B, 32B), with the 32B-Instruct model achieving state-of-the-art performance among open-source code models, matching GPT-4o on coding benchmarks. The series excels in code generation, code repair, code reasoning, and supports over 40 programming languages. It also demonstrates strong general and mathematical skills, and is aligned with human preferences via the Code Arena benchmark. Practical applications include code assistants and artifact generation.

Key Features

State-of-the-art open-source code model (32B-Instruct matching GPT-4o)

Six model sizes: 0.5B, 1.5B, 3B, 7B, 14B, 32B

Code generation, repair, and reasoning capabilities

Support for over 40 programming languages

Human preference alignment via Code Arena benchmark

Open-source availability on GitHub, Hugging Face, ModelScope, Kaggle

Pros & Cons

Pros

Matches GPT-4o in coding benchmarks
Wide range of model sizes to fit different resource constraints
Excellent multi-language support (40+ languages)
Strong human preference alignment
Open-source with permissive licensing

Best For

Code assistant for generating, repairing, and reasoning about codeArtifact generation (e.g., interactive code artifacts)Multi-language code understanding and modificationEducational tool for learning new programming languagesResearch platform for code LLM experiments

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FAQ

What is Qwen2.5-Coder?

Qwen2.5-Coder is an open-source series of code-focused large language models released by the Qwen Team, available in six sizes from 0.5B to 32B parameters.

How does Qwen2.5-Coder-32B compare to GPT-4o?

According to the Qwen Team, Qwen2.5-Coder-32B-Instruct matches GPT-4o in coding capabilities, achieving SOTA performance among open-source models on benchmarks like EvalPlus, LiveCodeBench, and BigCodeBench.

What model sizes are available?

The series includes six sizes: 0.5B, 1.5B, 3B, 7B, 14B, and 32B parameters.

What programming languages are supported?

Qwen2.5-Coder supports over 40 programming languages, with strong performance in both code generation and repair across languages like Haskell and Racket.

Is Qwen2.5-Coder open source?

Yes, the models are open-sourced and available on platforms such as GitHub, Hugging Face, ModelScope, and Kaggle.