Open-source coding model that beats GPT-4 on benchmarks. Free API, runs locally, MIT-licensed weights.
DeepSeek Coder (and its successor V3) is the open-source coding model that broke the assumption that frontier coding AI required closed-source, paid APIs. Trained on 2T tokens of code with a 128K context window, it matches or beats GPT-4 on HumanEval, MBPP, and most real-world coding benchmarks — and you can run the weights on a single high-end GPU, or call the API for free.
Who it's for: Developers who want frontier coding quality without $20/mo API bills. Especially good for self-hosted setups, privacy-sensitive codebases, and high-volume autocompletion. Less ideal if you want a polished UI.
The weights are MIT-licensed. Run them locally, fine-tune, ship in commercial products. No API lock-in, no per-token fees if you self-host.
128K-token context window handles entire repos in one prompt. Drop in your codebase and ask "find race conditions" — it actually finds them.
The hosted API is free for low-volume use. Pricing for higher volume is roughly 1/30th of OpenAI's per-token cost. Best price-performance ratio of any major coding API.
Strong on Python, JS/TS, Rust, Go, Java, C++, C#, and 70+ other languages. Better than GPT-4 on Chinese and Japanese code-quality benchmarks.
DeepSeek Coder is the single best value in AI coding right now. For hobbyists and indie devs, the free API is a no-brainer. For teams that need self-hosting for privacy or cost reasons, the open weights are unbeatable. For most working developers, however, Cursor (which supports DeepSeek as a backend alongside GPT-5 and Claude) is the more productive package. Use DeepSeek inside Cursor, not as a standalone chat.
The IDE that uses DeepSeek, GPT-5, and Claude. Best front-end for any model.
The general-purpose DeepSeek model. Strong on chat, reasoning, and code.
Anthropic's terminal agent. Best agent-mode coding experience.
Run DeepSeek Coder locally. Free, private, runs on a single GPU.