Best for
Best for developers and teams that want an assistant whose data never leaves the machine, with a cloud fallback for models too large to run locally.
- Freelancers
- Small and mid-sized
- Enterprise
No tools match
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AI Chatbots & Assistants Comparison
At a glance
Best for
Best for developers and teams that want an assistant whose data never leaves the machine, with a cloud fallback for models too large to run locally.
Best for
Best for teams that want one self-hosted chat front end over local and cloud models, with the data staying on their own infrastructure.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Ollama | Open WebUI |
|---|---|---|
| Starting price | Free for local models; Pro from $20 / month Local models cost nothing. Pro is $20 per month or $200 per year and includes $60 of cloud usage credits a month with three concurrent requests; Max is $100 per month with $300 of credits and ten concurrent requests; Team is $500 per month with $1,000 of shared credits and unlimited users; Enterprise is quoted. Extra credits can be bought on every paid plan. | Free, self-hosted; enterprise licence quoted The community edition is free to deploy as-is with the Open WebUI branding kept. An enterprise licence is required to white-label or rebrand it or to use enterprise-only features, and is quoted against the number of seats. |
| Free trial | Free plan with local models, starter cloud credits and one concurrent request | Free community edition, self-hosted |
| Output | Not stated | A self-hosted chat interface over local and cloud models |
| API | Yes, one REST API for local and cloud models, with Python and JavaScript libraries and a separate web search API | Yes, a REST API with an OpenAI-compatible chat completions endpoint and Anthropic-compatible messages endpoints |
| Hosting | Runs locally on macOS, Windows and Linux; cloud models run on Ollama's servers in the United States, Europe and Singapore | Self-hosted by pip, uv, Docker or Kubernetes; runs fully offline and in air-gapped environments |
| Ecosystem | Desktop app and command line for macOS, Windows and Linux, with integrations for VS Code Chat, Claude Code, OpenCode and n8n | Self-hosted web interface with a plugin and tool marketplace, plus companion projects Open Terminal for code execution, oikb for knowledge-base sync and mcpo for MCP-to-OpenAPI proxying |
| Live web search and sources | Yes, through a separate web search API returning a title, URL and content snippet per result; it needs a free account and an API key, and is also reachable over MCP | Yes, through dozens of providers including SearXNG, Google PSE, Brave Search, Kagi, Mojeek, Tavily, Perplexity and Firecrawl, with results injected into the conversation |
| Files and long documents | Yes, the desktop app takes files by drag and drop so a model can reason over text or PDFs, and code files can be passed in for understanding; for large documents the context length is raised in the settings, which the vendor notes costs more memory | Yes, local retrieval backed by nine vector databases, with several content-extraction engines and hybrid BM25 plus vector search with reranking |
| Images, voice and video | Images for vision-capable models, passed as a file path, URL or base64 through the API and the libraries | Image generation through DALL-E, Gemini, ComfyUI and AUTOMATIC1111, plus hands-free voice and video calls with a choice of speech-to-text and text-to-speech engines |
| Coding help | Coding models in the library, plus integrations with terminal coding agents such as Claude Code and OpenCode and with VS Code Chat | Open Terminal adds sandboxed files, a shell, code execution, previews and artifacts inside the chat |
| Model choice | Yes, and it is the point: any model from the library or an imported custom one, run locally or offloaded to the cloud through the same call | Yes, and it is the point: Ollama for local models and any OpenAI-compatible API, including LM Studio, GroqCloud, Mistral, OpenRouter and vLLM, mixed locally or in the cloud |
| MCP-ready | stated Yes | No |
| Deployment | Cloud (SaaS), On-premise | Browser-based, On-premise |
| Support | more entries Email helpdesk, Community forum | Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized, Enterprise |
| Integrations | VS Code, JetBrains, Zed, Xcode, Claude Code, Claude Desktop, OpenCode, Cline, Roo Code, Codex CLI, Goose, n8n, marimo | more entries Ollama, OpenAI, Anthropic, LM Studio, GroqCloud, Mistral, OpenRouter, vLLM, ComfyUI, AUTOMATIC1111, SearXNG, Brave Search, Kagi, Tavily, Firecrawl, Docker, Kubernetes |
Adds a column to the table, from the tools in this category.
Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Ollama
Strengths
Limitations
Open WebUI
Strengths
Limitations
Plans
Ollama
Open WebUI
What users say
Ollama
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Open WebUI
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Where this comes from
Ollama https://ollama.com · checked against the official source on 2026-09-12
Open WebUI https://openwebui.com · checked against the official source on 2026-09-13
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.