Five New AI Coding Models Enable Private Local Development Without Cloud Dependencies
Summary
Five new AI coding models ranging from 15B to 36B parameters now enable developers to run private, local code generation without cloud dependencies, offering fast reasoning, visual code understanding, and transparent workflows through tools like Ollama and LM Studio.
Key Points
- Five small AI coding models offer developers private, fast, and affordable alternatives to cloud-based solutions, running locally via tools like Ollama or LM Studio
- The models range from 15B to 36B parameters and include gpt-oss-20b for fast reasoning, Qwen3-VL-32B-Instruct for visual code understanding, and Apriel-1.5-15B-Thinker for transparent think-then-code workflows
- All models feature open-weight licenses allowing commercial use and self-hosting, with capabilities including multi-language code generation, repository-level analysis, and integration with IDE extensions and coding agents