Best Local AI Models for Coding

Running a coding assistant locally gives you zero-latency completions, full privacy for proprietary code, and no API costs. The best coding models for local use combine strong code generation with fast inference on Apple Silicon. Here are the top picks across all hardware configurations.

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Top Coding Models (All Hardware)

#ModelSizeRAMBest ForQualityOllama
01Qwen3.6 27B27B24 GBCoding, Quality, Long context
94
02Qwen3 235B A22B235B192 GBQuality, Reasoning
98
03Llama 3.3 70B Instruct70B48 GBQuality, Coding
98
04Qwen3.5 35B-A3B Instruct35B24 GBReasoning, Coding, Agent scenarios
92
05Qwen3.6 35B-A3B35B24 GBReasoning, Coding, Agents
93
06Llama 4 Scout109B80 GBLong context, Quality, Multimodal
93
07Llama 3.1 405B Instruct405B256 GBQuality, Reasoning, Coding
99
08Llama 4 Maverick400B256 GBFrontier quality, Long context
97

RAM Requirements

Qwen3.6 27B
18 GB
min 24 GB
Qwen3 235B A22B
130 GB
min 192 GB
Llama 3.3 70B Instruct
42 GB
min 48 GB
Qwen3.5 35B-A3B Instruct
20 GB
min 24 GB
Qwen3.6 35B-A3B
22 GB
min 24 GB
Llama 4 Scout
67 GB
min 80 GB
Llama 3.1 405B Instruct
243 GB
min 256 GB
Llama 4 Maverick
245 GB
min 256 GB

Frequently Asked Questions

What is the best local AI model for coding?
For most developers, Qwen3.5 9B offers the best balance of code quality and speed on 16GB RAM. If you have 32GB+, Qwen3 14B or the Qwen3.6 MoE models deliver noticeably stronger code generation and review.
Can I use a local AI model as a coding copilot?
Yes. Tools like Continue.dev, Cline, and aider support Ollama as a backend. Run any coding model locally and connect it to your IDE for completions, chat, and code review without sending code to the cloud.
How much RAM do I need for a coding AI model?
A capable coding model needs at least 10GB RAM (7B-9B Q4 models). For professional-grade code assistance with 14B+ models, plan for 16-24GB. The sweet spot for most developers is a 9B-14B model on 16-32GB RAM.
Are dedicated coder models better than general models for coding?
Less than they used to be. Current general models like Qwen3.5 9B match or beat older dedicated coder models (Qwen2.5 Coder, Codestral) on most tasks. Dedicated coders still help for fill-in-the-middle autocomplete.

Other Use Cases