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DeepSeek Coder V2

deepseek/deepseek-coder-v2

2 credits / request
Compare with…Added 2026
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DeepSeek Coder V2 is DeepSeek's second-generation code model built on a Mixture-of-Experts (MoE) architecture, enabling it to activate only a subset of parameters per inference while maintaining a large total model capacity. This architecture allows it to deliver strong coding performance across a wide range of programming languages with competitive inference efficiency.

V2 supports code generation, completion, debugging, and cross-language translation and is designed to compete with leading proprietary and open code models. Its MoE design makes it practical for hosted inference while retaining capabilities more typical of much larger dense models.

Key Features

Mixture-of-Experts architecture for efficient high-capacity code generation

Broad programming language coverage including Python, Java, C++, Go, and more

Code completion, generation, and refactoring

Cross-language code translation

Bug detection and explanation

Repository-level context handling for larger codebases

Ideal Use Cases

1.

AI-powered code completion in developer IDEs

2.

Automated code review and bug-fix suggestions

3.

Translating legacy codebases to modern languages

4.

Generating boilerplate for new projects or APIs

5.

Internal developer productivity tools

Example Prompts for DeepSeek Coder V2

Technical Specifications

ProviderDeepSeek
CategoryCode
ModalityText -> Code

Frequently Asked Questions

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