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CodeGemma 2

Open Source

Google DeepMind · 2025

Google's code-specialized open-source model designed for code generation, completion, and reasoning.

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Quick Facts

Parameters

2B / 7B / 27B

Context Window

8K tokens

Modalities

text, code

Open Source

Yes

License

Gemma Commercial License

Pricing

Free (open-source)

Released

2025

Developer

Google DeepMind

About

CodeGemma 2 is Google DeepMind's code-specialized large language model built on Gemma 2 architecture, designed specifically for software development tasks including code generation, completion, debugging, explanation, and translation across multiple programming languages. Available in three sizes (2B, 7B, and 27B parameters) to suit different deployment scenarios, CodeGemma 2 offers flexibility from lightweight IDE code completion to server-side code analysis. The 2B model is small enough to run on a laptop for real-time code suggestions — making it practical for offline or privacy-sensitive development environments. The 27B model provides stronger capabilities for complex coding tasks. CodeGemma 2 is trained specifically on code data including open-source repositories, technical documentation, and programming discussions, giving it deep understanding of programming concepts, common patterns and pitfalls, and best practices across languages. As an open-source model under the Gemma Commercial License, it can be freely self-hosted, fine-tuned for specific codebases, and integrated into development workflows without API costs or data leaving your environment. For individual developers who want a free, self-hosted code AI, teams with privacy requirements, and organizations building custom code AI tools, CodeGemma 2 offers Google's research quality in a practical package. The main limitations are a modest 8K token context window that restricts analysis of very large codebases, and capabilities that don't match larger general-purpose models for complex reasoning tasks outside of code. Compared to CodeLlama, CodeGemma 2 offers stronger performance per parameter and a more permissive license. Compared to GPT-4o, it's much more limited in scope but completely free and private. For dedicated code completion and generation with privacy, CodeGemma 2 is an excellent choice.

Strengths

  • +Purpose-built for code with strong multi-language support
  • +Available in multiple sizes for different deployment needs
  • +Open-source with commercial-friendly license
  • +Google DeepMind quality and ongoing development

Weaknesses

  • Limited 8K context window limits large code analysis
  • Less capable than general models on non-code tasks
  • Smaller parameter count limits complex reasoning

Best For

IDE-integrated code completion and generation

Self-hosted code AI for privacy-sensitive projects

Code translation between programming languages

Lightweight deployment in CI/CD pipelines

Pricing

Open Source

$0

  • 2B/7B/27B sizes
  • Commercial use
  • Local deployment

Google Cloud

Pay-per-use

  • Hosted API
  • Vertex AI integration
  • Enterprise support

Technical Specs

Parameters

2B / 7B / 27B

Context Window

8K tokens

Modalities

text, code

Languages

EnglishChinese50+ languages

Open Source

Yes

License

Gemma Commercial License

Developer

Google DeepMind

Released: 2025

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