Open Source vs Proprietary AI: Speed vs Control vs Cost

Proprietary (ChatGPT, Claude) are easy and powerful. Open-source (Llama, Mistral) give control and privacy. Which do you choose?

Proprietary AI (ChatGPT, Claude, Gemini)

Pros: Best reasoning, instant access, automatic scaling, multimodal out of box. Cons: Costs scale with usage, data privacy concerns, vendor lock-in, rate limits.

Open-Source AI (Llama, Mistral, LLaVA)

Pros: Full control, privacy by default, cheaper at scale, no vendor dependency, can fine-tune. Cons: Slower than proprietary, engineering overhead, latency, weak multimodal.

The Cost Crossover Point

ChatGPT: 10M requests/month = $22,500. Self-hosted Llama: 10M requests/month = $150 (same cost regardless). Crossover: At 3.3M requests/month, self-hosted breaks even. Above that, open-source wins.

Decision Tree

Need to ship in 1 week? Proprietary. Privacy critical? Open-source. >5M requests/month? Open-source. Best accuracy? Proprietary. Willing to manage servers? Open-source.

Ready to choose your AI stack? Email [email protected] for cost optimization.