Gemini vs Open WebUI

Gemini has no write-up on Specifiction yet; its figures are above.

Open WebUI is a self-hosted interface for local and cloud AI models, designed to run entirely offline. It connects to Ollama and OpenAI-compatible APIs. Installation options include Docker, pip, uv, and desktop setup; the documentation recommends Docker or Python for production deployments. Listed capabilities include voice, vision, retrieval, generation, search, Python extensions, file uploads, image generation, app integrations, and team workspaces. Its extension system supports Filters, Actions, Pipes, Tools, and Skills, and can connect through MCP, MCPO, and OpenAPI tool servers. Knowledge retrieval includes local RAG with nine vector databases, multiple content-extraction engines, hybrid search, reranking, and full-context mode. Organizations can deploy it on-premises, in a private cloud, or in an air-gapped environment. The operator configures where chats and other data are stored; data can be routed externally when external providers, tools, model endpoints, or integrations are configured. The software is free to use as-is with original branding intact. Deployments with more than 50 users must keep Open WebUI branding visible unless an exception applies.