# Open WebUI vs Reflection 70B

Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. Reflection 70B records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [Reflection 70B](https://openaitools.app/tool/reflection-70b) |
| :--- | :--- | :--- |
| Website URL | https://openwebui.com | https://reflection70b.net |
| Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | Large Language Models (LLMs), Open Source AI Models, AI Text Generator, AI Chatbot |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 804,534 | 0 |
| MoM Growth Rate | -2.8% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 299,835 | 0 |
| Review Score | 4.4 | 2.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Open WebUI

Open WebUI is an open-source, self-hosted interface for working with AI models. Instead of renting access to a single vendor's chatbot, you run the interface on your own hardware or cloud tenancy, then connect whatever models you want: local runtimes such as Ollama, OpenAI-compatible endpoints, Anthropic, or a mix of local and remote. Everything a team produces — conversations, prompts, models, skills and tools — stays in an environment you administer.

The platform has grown well beyond a chat window. Retrieval-augmented generation, web search, document understanding, voice input and output, and vision are built in, and Python tools, functions and pipelines let developers script custom behaviour and share it. On the operations side it offers enterprise features such as SSO, role-based access control, audit logs, data residency options, and on-premises, hybrid or fully air-gapped deployment for regulated environments. White-labeling and custom branding are also available for organizations that want their own look.

Open WebUI is distributed free of charge under an open-source license and can be installed with a single pip or Docker command, with no account required to get running. A separate enterprise offering is available for organizations that want commercial support, compliance guarantees and managed rollout help, which is quoted on contact. A large community maintains a public hub of prompts, models, tools and functions, so much of what teams need is already shared and ready to install.

**Pricing & Plans:** The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact.

- **Any Model, Any Endpoint:** Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface.
- **Retrieval and Search Built In:** RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources.
- **Python Tools, Functions and Pipelines:** Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others.
- **Enterprise Controls:** SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements.
- **Community Hub:** Browse and install prompts, models, skills and tools contributed by hundreds of thousands of community members.

**Strengths:** Free and open source with no account needed to install; Works with local and cloud models through a single interface; Strong privacy posture: your data and models stay on your infrastructure; Extensive enterprise features including SSO, RBAC and audit logs

**Limitations:** Self-hosting requires you to handle servers, updates and backups; Some enterprise capabilities and support sit behind a paid, quote-based tier; Feature depth means a learning curve for non-technical administrators; Local model performance depends heavily on your own hardware

[Profile (Markdown)](https://openaitools.app/tool/open-webui.md)

## Reflection 70B

The site is a practical way to test-drive an open model without a local GPU or a data-science setup: you open the page, type a question, and read the answer. It pitches Reflection 70B as especially strong on step-by-step reasoning and coding, where the self-correction mechanism is meant to catch slips before they reach the final answer.

Because it is a third-party front end, the value is convenience rather than ownership. The page is clearly aimed at students, developers and tinkerers who want a fast sense of how a 70B-class open model behaves on their own prompts before they commit to running it elsewhere.

Pricing is structured around conversation rounds, with a free allowance and several monthly tiers that add larger round quotas plus light extras such as analytics and priority email support.

**Pricing & Plans:** Freemium. The free tier includes roughly 100 conversation rounds in total. Paid monthly plans scale the round quota, with published tiers around $7.9, $12.9 and $16.9 per month for 500, 1000 and 1500 rounds respectively, and higher tiers adding priority support.

- **Instant chat, no setup:** Start typing prompts in a web chat box right away, with no account required for the free tier.
- **Self-correction during generation:** The page highlights Reflection-Tuning, where the model uses special tokens to spot and fix mistakes in its own reasoning as it generates text.
- **Built on Llama 3.1 70B Instruct:** Reflection 70B is built on Meta's Llama 3.1 70B Instruct, so it fits into workflows already oriented around the Llama ecosystem.
- **Benchmark-oriented performance claims:** The site positions the model as strong on benchmarks such as MMLU, HumanEval, MATH and GSM8K, with particular strength in coding and multi-step problems.
- **Tiered round-based plans:** Free access covers a starter allowance of rounds, while paid tiers raise the monthly conversation limit for regular users.

**Strengths:** No sign-up needed to try it, which makes evaluation very fast; Runs entirely in the browser on any device with internet access; Uses a well-known open Llama 3.1 70B base, so behaviour is easy to reason about; Clear, round-based pricing that suits occasional rather than heavy use

**Limitations:** Answers are not guaranteed to be current or factually perfect; critical facts should be checked; Free tier limits conversation rounds, so heavier users will hit the paid tiers quickly; It is an unofficial third-party gateway and not the original lab behind the model; Feature set is focused on chat rather than a full agentic coding environment

[Profile (Markdown)](https://openaitools.app/tool/reflection-70b.md)

## Frequently Asked Questions

### How do Open WebUI and Reflection 70B compare in monthly traffic?

Open WebUI has 804,534 monthly visits, while Reflection 70B has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Open WebUI has a month-over-month growth rate of -2.8%; Reflection 70B has 0%.

### How does pricing compare?

Open WebUI: Freemium. The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. Reflection 70B: Freemium. Freemium. The free tier includes roughly 100 conversation rounds in total. Paid monthly plans scale the round quota, with published tiers around $7.9, $12.9 and $16.9 per month for 500, 1000 and 1500 rounds respectively, and higher tiers adding priority support.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 4 | [Use AI](https://openaitools.app/tool/use-ai) | 8,751,848 | -10.2% | Free Trial, Paid | One workspace for Claude, GPT, Gemini, Grok and more | [.md](https://openaitools.app/tool/use-ai.md) |
| 5 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 6 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 7 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.md) |
| 8 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 9 | [Lorka AI](https://openaitools.app/tool/lorka-ai) | 987,622 | -19.2% | Paid | All the top AI models behind one subscription | [.md](https://openaitools.app/tool/lorka-ai.md) |
| 10 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Specializes in visual workflow building and RAG pipelines rather than serving purely as a chat interface. | [.md](https://openaitools.app/tool/dify-ai.md) |

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Source: https://openaitools.app/compare/open-webui-vs-reflection-70b

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