Proprietary Models

Proprietary models currently dominate the top of LLM quality. GPT-4, Claude, and Gemini reach benchmark numbers that open-source models catch up to only months later. Vendors invest billions in model training, research, and infrastructure, which shows in model quality and inference performance.

The downsides are clear. Data goes to an external vendor, which raises regulatory and contractual questions for sensitive content. Costs scale with usage through per-token fees, which gets expensive at large volume. Vendor lock-in emerges when applications adapt deeply to specific model characteristics. Model updates can change behavior without the user anticipating it.

Pimcore is model-agnostic by design. The Agent SDK integrates proprietary models (GPT, Claude, Gemini) and open-source models equally. Users decide per use case: proprietary for tasks that demand the highest quality, open source for tasks with data sovereignty or cost requirements. That flexibility protects against lock-in and makes Pimcore a long-term safe AI platform.