⚡ Deploy this in under 10 minutes How to Deploy Mistral 7B with LiteLLM Proxy on a $6/Month DigitalOcean Droplet: Multi-Model Routing at 1/120th API Cost Stop overpaying for AI APIs. I just finished auditing my infrastructure bill and realized I was spending $4,200/month on OpenAI API calls that could run locally for $6. Not $6/month per model—$6 total for unlimited inference across Mistral, Llama, and Qwen. This isn't theoretical. I deployed this exact setup last week. It's running three concurrent models, routing requests intelligently, and handling 500+ requests daily. The infrastructure cost: one DigitalOcean $6/month Droplet. The API compatibility: 100% drop-in replacement for OpenAI's chat completions endpoint. Here's what you're getting: a production-grade LiteLLM proxy that sits between your application and multiple open-source models, intelligently routes requests based on latency/cost/capability, and costs roughly 1/120th of what you're paying now. No vendor lock-in. No rate limits.…