Open Source AI Models for Coding in 2026: Qwen2.5-Coder, DeepSeek-Coder and Llama - Best Local Code LLMs

The best open-source coding models of 2026 - Qwen2.5-Coder, DeepSeek-Coder, Llama 3.1 - run locally via Ollama (177,825 stars) with zero cost and full privacy for autocomplete, refactoring and code review.

💡 What You Will Learn

The best open-source coding models of 2026 - Qwen2.5-Coder, DeepSeek-Coder, Llama 3.1 - run locally via Ollama (177,825 stars) with zero cost and full privacy for autocomplete, refactoring and code re

## The short answer Coding models are the highest-value open-source LLM category: they replace paid Copilot-style subscriptions and keep your code private. The three families to know: **Qwen2.5-Coder** (best overall per-size), **DeepSeek-Coder** (strong for complex tasks), and **Llama 3.1** (generalist that codes well). ## Which model to pull ```bash # 1.5B - autocomplete on weak machines (4GB RAM) ollama pull qwen2.5-coder:1.5b # 7B - the sweet spot (8GB RAM) ollama pull qwen2.5-coder:7b # 14B/32B - serious refactoring (16GB+ RAM) ollama pull qwen2.5-coder:14b ``` ## Speed vs capability tiers | Model | RAM | Best for | Speed (CPU) | |:------|:---:|:---------|:-----------:| | qwen2.5-coder:1.5b | 4GB | Autocomplete | 20-40 tok/s | | qwen2.5-coder:7b | 8GB | Chat + edit | 8-15 tok/s | | qwen2.5-coder:14b | 16GB | Refactor + review | 4-8 tok/s | | deepseek-coder:6.7b | 8GB | Complex algorithms | 8-15 tok/s | ## Connect to your editor 1. **Continue** (35,326 stars) - VS Code copilot replacement, point it at Ollama. 2. **Cline** (65,673 stars) - agent mode for bigger tasks. 3. Any OpenAI-compatible client: `http://localhost:11434/v1`. ## Real numbers - Qwen2.5-Coder matches or beats older GPT-4-class models on HumanEval-style benchmarks at a fraction of the size. - 7B models on a 16GB Mac deliver ~20-40 tokens/sec - fast enough for real coding sessions. - Local coding models keep your source code 100% private - no code ever leaves the machine. ## FAQ **Q: Can it replace GitHub Copilot?** A: For most daily work - yes. The gap narrows every release; use it with Continue/Cline for a Copilot-like experience. **Q: Which size should I pick?** A: Start with 7B. If autocomplete feels slow, drop to 1.5B; if answers are too shallow, go 14B. **Q: Are these really free?** A: Yes - Apache-2.0 or permissive licenses (check each), no API fees, no code sharing.