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AI DEVELOPMENT

Can Creuto use Gemini, Mistral or Llama for my product?

Short answer

Yes. Creuto builds with Google's Gemini models, Mistral AI models and Meta's Llama family in addition to Claude and OpenAI. Gemini suits teams already on Google Cloud, while Mistral and Llama offer open-weight options that can run in your own environment when data residency, cost at scale or full control matter most.

The full answer

Model choice follows the use case and your constraints. If your organisation runs on Google Cloud, using Gemini through that platform keeps billing, identity and data governance in one place. If your data must never leave your infrastructure, an open-weight model you host is the cleanest answer.

Open-weight models from Mistral and Meta can be deployed in your own cloud account on GPU instances or used through managed hosting. Creuto handles serving, scaling, security hardening and monitoring, and defines that infrastructure in code so your team can operate it.

Smaller open models are often good enough for well-defined tasks such as classification, extraction and routing, at a fraction of the per-request cost of a frontier model. Creuto commonly routes simple requests to a small model and reserves larger models for the hard cases.

Licence terms and suitability are reviewed before any open model goes into a product, in the same way Creuto reviews any open-source dependency.

Every candidate is compared on your own examples before a recommendation. Because applications are built behind a model abstraction, you can start with one provider and move to another as pricing or capability changes.

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