DeepSeek Coder

Basic Information

• Company/Brand: DeepSeek
• Country/Region: China
• Official Website: https://deepseekcoder.github.io
• GitHub: https://github.com/deepseek-ai/DeepSeek-Coder
• Type: Code Generation Large Language Model
• Release Date: 2023 (DeepSeek Coder), with continuous updates until 2026

Product Description

DeepSeek Coder is a series of code language models trained from scratch by the Chinese AI company DeepSeek. The models are pre-trained on 87% code and 13% natural language (Chinese and English) data, with each model trained on 2 trillion tokens. It offers various sizes ranging from 1B to 33B parameters.

DeepSeek Coder significantly outperforms comparable open-source models in multiple benchmarks. By 2026, DeepSeek's coding capabilities have been integrated into the V4 series—DeepSeek V4 features a 1M+ token window, Engram conditional memory, and multimodal input, primarily targeting deep reasoning and coding tasks.

Core Features/Characteristics

• Code generation and completion
• Multilingual support (Chinese and English)
• Various parameter sizes from 1B to 33B
• Repository-level code understanding
• Instruction-tuned versions
• Fill-in-the-Middle support
• Extremely high cost-performance ratio

Model Performance

• DeepSeek-Coder-Base-33B leads CodeLlama-34B by 7.9% on HumanEval Python
• DeepSeek-Coder-Base-7B achieves performance levels comparable to CodeLlama-34B
• DeepSeek-Coder-Instruct-33B surpasses GPT-3.5-turbo (HumanEval)

2026 Evolution: DeepSeek V4

• Released in mid-February 2026
• Engram memory architecture
• 1M+ token context window
• Multi-file reasoning
• Long-context stability
• Optimized reasoning efficiency
• Challenges Claude and GPT in coding capabilities

Business Model

Open-source models are free to use. DeepSeek API offers paid services, known for their extremely low prices (far below those of OpenAI and Anthropic for comparable products).

Target Users

• Developers seeking high-cost-performance AI coding
• Developers in the Chinese market (Chinese and English support)
• Local deployment scenarios
• Teams sensitive to API costs

Competitive Advantages

• Extremely high cost-performance ratio
• Small models (7B) achieving performance levels of large models (34B)
• Native support for Chinese and English
• Continuous evolution to the V4 series
• Open-source transparency
• API prices significantly lower than competitors

Market Performance

• Outstanding performance in the open-source code model field
• DeepSeek brand globally recognized due to models like R1
• V4 series seen as a potential challenger to Claude and GPT
• Widely used in Chinese and global developer communities

Relationship with OpenClaw

DeepSeek Coder can be one of the LLM choices for OpenClaw. Its high cost-performance ratio and Chinese support make it particularly suitable for Chinese users in OpenClaw. OpenClaw supports multiple LLM providers, including DeepSeek's API services.