Open Source Models

Open-source LLMs have closed much of the gap in recent years. Models like Llama, Mistral, and Qwen reach the quality of proprietary models like GPT-4 in many tasks. The advantage lies in data sovereignty (data does not leave your own data center), cost control (no per-token fees), and customizability (models can be fine-tuned on your own data).

The downsides are operational effort and complexity. Open-source models have to be self-hosted, with the corresponding infrastructure (GPUs) and expertise. For many use cases the effort-to-benefit ratio is worse than a proprietary model API. For others (regulated industries, sensitive data, high volume) open source is the only sensible option.

Pimcore is model-agnostic by design. The Agent SDK integrates both proprietary models (GPT, Claude, Gemini) and open-source models (Llama, Mistral, local models via Ollama). Users choose the right model per use case, without ending up in vendor lock-in. That makes Pimcore a long-lived AI platform that evolves with the model landscape.