DeepSeek-v3 VS Open WebUI
Compare DeepSeek-v3 VS Open WebUI, what is the difference between DeepSeek-v3 and Open WebUI?
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Summarize
DeepSeek-v3 summarize
DeepSeek-v3 Landing Page
Open WebUI summarize
Open WebUI Landing Page
Compare Details
DeepSeek-v3 details
| Categories | Large Language Models (LLMs), AI Models, AI Chatbot, Open Source AI Models, AI API |
| DeepSeek-v3 Website | https://deepseekv3.vip?utm_source=toolify |
| Added Time | March 12 2025 |
| DeepSeek-v3 Pricing | -- |
Open WebUI details
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools, AI Workflow, AI Assistant |
| Open WebUI Website | https://openwebui.com?utm_source=toolify |
| Added Time | July 17 2026 |
| Open WebUI Pricing | -- |
Comparison of usage
How to use DeepSeek-v3?
To use DeepSeek-v3, click the 'Start Now' button, input your question or instructions clearly in the dialog box, and DeepSeek-v3 will provide cutting-edge AI solutions, reasoning and answering other related questions.
How to use Open WebUI?
Install Open WebUI with pip or Docker, then connect it to a model provider such as Ollama, OpenAI, Anthropic, or any compatible API. After setup, use the web interface to chat with models, browse prompts and tools, run retrieval or search workflows, and customize the experience with Python functions and pipelines. Enterprises can deploy it on-premises, in private cloud, hybrid, or air-gapped environments.
Compare Pros between DeepSeek-v3 and Open WebUI
Core features of DeepSeek-v3
- Advanced MoE Architecture
- Cutting-Edge AI Technology
- Extensive Professional Training
- Fast and Efficient Output
- Free and Without Limitations
- Multiple Languages & Deployments
Core features of Open WebUI
- Self-hosted AI chat interface for local and cloud models
- Connects to Ollama, OpenAI, Anthropic, and compatible APIs
- Python-based extensions, functions, and pipelines
- Built-in tools for RAG, search, retrieval, voice, and vision
- Enterprise controls including SSO, RBAC, audit logs, and data residency
- Community library for prompts, models, tools, and workflows
Compare Use Cases
Use cases for DeepSeek-v3
- Answering complex questions with reasoning
- Generating code and assisting with code editing
- Providing solutions across various professional domains
- Supporting multiple languages for global accessibility
Use cases for Open WebUI
- Run a private local AI assistant on your own hardware
- Deploy a secure internal AI chat platform for employees
- Share prompts, tools, and workflows across a team
- Build a regulated or air-gapped enterprise AI workspace
- Use one interface to manage both local and cloud LLMs
DeepSeek-v3's traffic
DeepSeek-v3 is the one with 1.4K monthly visits and 00:00:00 Avg.visit duration. DeepSeek-v3 has a Page per visit of 1.21 and a bounce rate of 42.38%.
Visit Over Time
| Monthly Visits | 1.4K |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 1.21 |
| Bounce Rate | 42.38% |
Open WebUI's traffic
Open WebUI is the one with 965.1K monthly visits and 00:02:24 Avg.visit duration. Open WebUI has a Page per visit of 3.18 and a bounce rate of 50.41%.
Visit Over Time
| Monthly Visits | 965.1K |
| Avg·visit Duration | 00:02:24 |
| Page per Visit | 3.18 |
| Bounce Rate | 50.41% |
Geography
Sorry, there are no data
Geography
The top 5 countries/regions for Open WebUI are:United States 15.59%, China 7.30%, India 6.61%, Germany 5.66%, Brazil 4.42%
Top 5 Countries/regions
 | 15.59% |
 | 7.30% |
 | 6.61% |
 | 5.66% |
 | 4.42% |
Traffic Sources
The 6 main sources of traffic to DeepSeek-v3 are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Traffic Sources
The 6 main sources of traffic to Open WebUI are:vs_sourcesSearchOrganic 42.32%, Direct 34.40%, Referrals 11.17%, vs_sourcesGenAi 8.71%, vs_sourcesSocialOrganic 2.84%, Mail 0.44%, vs_sourcesDisplayAds 0.12%, vs_sourcesAffiliate 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSearchOrganic | 42.32% |
Direct | 34.40% |
Referrals | 11.17% |
vs_sourcesGenAi | 8.71% |
vs_sourcesSocialOrganic | 2.84% |
Mail | 0.44% |
vs_sourcesDisplayAds | 0.12% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Which is better: DeepSeek-v3 or Open WebUI?
Open WebUI might be a bit more popular than DeepSeek-v3.As you can see, DeepSeek-v3 has 1.4K monthly visits, while Open WebUI has 965.1K monthly visits. So more people choose Open WebUI. So the odds are that people will recommend Open WebUI more on social platforms.
DeepSeek-v3 has an Avg.visit duration of 00:00:00, while Open WebUI has an Avg.visit duration of 00:02:24. Also, DeepSeek-v3 has a page per visit of 1.21 and a Bounce Rate of 42.38%. Open WebUI has a page per visit of 3.18 and a Bounce Rate of 50.41%.
The main users of Open WebUI are United States, China, India, Germany, Brazil, with the following distribution: 15.59%, 7.30%, 6.61%, 5.66%, 4.42%.
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