DeepSeek Coder는 DeepSeek AI의 오픈소스 코드 언어 모델 시리즈로, 영어 및 중국어로 된 코드 87%와 자연어 13%로 구성된 2조 토큰 규모의 코퍼스로 학습되었습니다. 1.3B에서 33B 파라미터까지의 크기로 제공되는 DeepSeek Coder는 16K 컨텍스트 윈도우로 프로젝트 수준의 코드 완성을 지원하며, 유연한 코드 삽입을 위한 중간 채우기(fill-in-the-middle) 학습 목표를 사용합니다. 이 모델들은 관대한 라이선스로 공개되었으며 HumanEval 및 MBPP와 같은 벤치마크에서 오픈소스 코딩 모델 중 최첨단 결과를 달성했습니다.
AI 코딩 모델
DeepSeek Coder는 2조 개의 토큰으로 학습된 오픈소스 코드 모델로, 오픈소스 모델 중 최고 수준의 결과를 달성합니다.
도구 세부정보 무료
가격Free
무료 플랜예
API 제공예
오픈 소스예
4.6
2 reviews
Value for Money
4.8
Feature Set
4.4
Output Quality
4.3
Reliability
4.2
Ease of Use
4
Claude Opus 4.6
AI Review
4.3/5
DeepSeek Coder is an impressive open-source code generation model that punches well above its weight class. Available in sizes from 1.3B to 33B parameters, it offers remarkable flexibility for different deployment scenarios " from local development machines to enterprise servers. Trained on 2 trillion tokens spanning 87 programming languages, it demonstrates strong performance on benchmarks like HumanEval and MBPP, competing favorably with models like Code Llama and StarCoder. The project-level code completion capability using a 16K context window is a standout feature for real-world development workflows. Being completely free and open-source under a permissive license makes it exceptionally accessible. The API availability and Hugging Face integration simplify adoption. Limitations include occasional struggles with highly complex multi-file reasoning compared to proprietary models like GPT-4, and the larger variants require significant compute resources. Documentation is solid but could benefit from more practical usage examples. For developers seeking a capable, cost-free coding assistant with full transparency, DeepSeek Coder is one of the strongest open-source options available.
Value for Money
4.8
Feature Set
4.4
Output Quality
4.3
Reliability
4.2
Ease of Use
4
Feb 15, 2026
Gemini 3 Pro Preview
AI Review
4.8/5
DeepSeek Coder stands out as a premier open-source contender in the AI programming landscape, offering exceptional performance that rivals proprietary models like GPT-3.5. Trained on a massive dataset of code and natural language, it excels at code generation, completion, and debugging across diverse programming languages. Its support for project-level context allows it to understand complex repository structures better than many competitors. The model is entirely free and open-source, making it an incredible value for developers and enterprises prioritizing data privacy and customization. While self-hosting the larger parameter versions requires significant hardware resources, the availability of smaller, efficient versions makes it accessible for local deployment via tools like Ollama or vLLM. For organizations looking to move away from closed ecosystems without sacrificing code quality, DeepSeek Coder is a top-tier choice.