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Deploying Local LLMs with Ollama vs Open WebUI

A head-to-head look at Deploying Local LLMs with Ollama and Open WebUI across pricing, features, strengths, and weaknesses.

FeatureDeploying Local LLMs with OllamaOpen WebUI
Editorial score★ 4.6 / 5★ 4.7 / 5
PricingFree open sourceFree open source (self-host)
Pros
  • +Extremely simple to get started
  • +Private and free, no API fees
  • +One command installs and runs a model locally
  • +Full data privacy, runs locally
  • +Rich features and active community
  • +ChatGPT-like interface for local and remote models
Cons
  • −Limited by your hardware (VRAM/RAM)
  • −Quality capped by what your hardware can run
  • −Model downloads can be several gigabytes
  • −You maintain the deployment yourself
  • −You own updates, backups, and security
  • −Needs a server or Docker to run
VisitView full review →View full review →

Editor’s verdict

Ollama focuses on model serving with a minimal CLI and API; Open WebUI provides a full web-based chat interface that can connect to Ollama or other backends. Choose Ollama as the model engine for programmatic use; choose Open WebUI for a complete chat frontend that pairs with Ollama or other providers.

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