Homelab AI Agent Costs Down 60% with Ollama Quantized Models

My homelab AI agent setup was costing $42/month in API calls alone — until I switched to local quantized models.

Key Takeaways

1. Switching from OpenRouter API calls to local Ollama quantized models cut my monthly LLM spend from $42 to $0.

2. Llama 3 8B q4_0 fits in ~4GB VRAM on a single RTX 3060, leaving room for other containers.

3. GPU time-slicing with Docker lets multiple agent instances share one GPU without fighting over resources.

4. Quality was comparable: 38% preferred local Llama 3, 32% preferred API models, 30% rated them as ties.

Bottom Line

If you're spending $40+/month on API calls for predictable, bursty workloads, switching to Ollama with quantized models can slash costs to near zero while keeping performance acceptable.

Read the full analysis on Susiloharjo.