# Open WebUI vs Reflection 70B

Open WebUI는 월간 방문 804,534, 전월 대비 성장률 -2.8%, 무료+유료 가격 모델을 기록합니다. Reflection 70B는 월간 방문 0, 성장률 0%, 무료+유료 가격 모델을 기록합니다.

| 지표 | [Open WebUI](https://openaitools.app/ko/tool/open-webui) | [Reflection 70B](https://openaitools.app/ko/tool/reflection-70b) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://openwebui.com | https://reflection70b.net |
| 카테고리 | Large Language Models (LLMs), AI 챗봇, 오픈소스 AI 모델, AI 개발자 도구 | Large Language Models (LLMs), 오픈소스 AI 모델, AI 텍스트 생성기, AI 챗봇 |
| 가격 모델 | 무료+유료 | 무료+유료 |
| 월간 방문 수 | 804,534 | 0 |
| 전월 대비 성장률 | -2.8% | 0% |
| 주요 시장 | 미국 | 글로벌 |
| 직접 방문 | 299,835 | 0 |
| 리뷰 점수 | 4.4 | 2.2 |
| 저장 수 | 0 | 0 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Open WebUI

Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/tool/open-webui.md)

## Reflection 70B

Reflection 70B is a browser-based chat interface for the open-source Reflection 70B language model, a self-correcting LLM built on Meta's Llama 3.1 70B Instruct. The site lets you converse with the model from a normal web browser, with no installation or sign-up required to start.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/tool/reflection-70b.md)

## 자주 묻는 질문

### Open WebUI과(와) Reflection 70B의 월간 트래픽은 어떻게 비교되나요?

Open WebUI의 월간 방문 수는 804,534이고, Reflection 70B는 0입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Open WebUI의 전월 대비 성장률은 -2.8%이며, Reflection 70B는 0%입니다.

### 가격은 어떻게 비교되나요?

Open WebUI: 무료+유료. 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: 무료+유료. 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.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/ko/tool/chatgpt-4) | 6,048,022,723 | +2.2% | 무료+유료 | GPT-6와 GPT-5.6으로 추론, 코딩, 심층 리서치를 수행하는 OpenAI의 대표 멀티모달 어시스턴트. | [.md](https://openaitools.app/ko/tool/chatgpt-4.md) |
| 2 | [DeepSeek](https://openaitools.app/ko/tool/deepseek) | 372,761,591 | +4.3% | 무료+유료 | DeepSeek-V4와 R1으로 구동되는, 극히 낮은 토큰 비용의 고효율 오픈웨이트·호스팅 추론 AI. | [.md](https://openaitools.app/ko/tool/deepseek.md) |
| 3 | [Ollama](https://openaitools.app/ko/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | 오픈 AI 모델을 로컬과 클라우드에서 실행하고 구축하세요 | [.md](https://openaitools.app/ko/tool/ollama.md) |
| 4 | [Use AI](https://openaitools.app/ko/tool/use-ai) | 8,751,848 | -10.2% | 무료 체험, 유료 | Use AI is a single workspace that gives you frontier models from Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, GLM and others side by side. Chat, generate images, run deep research, and create documents and slides with | [.md](https://openaitools.app/ko/tool/use-ai.md) |
| 5 | [n8n](https://openaitools.app/ko/tool/n8n) | 4,522,449 | -7.4% | 무료+유료 | AI 에이전트와 기술 팀을 위한 오픈소스 워크플로 자동화 | [.md](https://openaitools.app/ko/tool/n8n.md) |
| 6 | [Hermes-Agent](https://openaitools.app/ko/tool/hermes-agent-1) | 3,638,741 | -5.4% | 무료+유료 | 프로젝트를 기억하고 모든 메신저에서 함께 일하는 무료 오픈소스 AI 에이전트. | [.md](https://openaitools.app/ko/tool/hermes-agent-1.md) |
| 7 | [Chatbot App](https://openaitools.app/ko/tool/chatbot-app) | 2,170,883 | -9.7% | 무료+유료 | 30개 이상의 주요 AI 모델과 하나의 깔끔한 워크스페이스에서 대화 | [.md](https://openaitools.app/ko/tool/chatbot-app.md) |
| 8 | [Clawdbot(OpenClaw)](https://openaitools.app/ko/tool/clawdbot) | 1,903,068 | -25.4% | 유료, 무료 | 내 컴퓨터에서 실행되고 채팅 앱으로 조작하는 오픈소스 개인 AI 어시스턴트 | [.md](https://openaitools.app/ko/tool/clawdbot.md) |
| 9 | [Lorka AI](https://openaitools.app/ko/tool/lorka-ai) | 987,622 | -19.2% | 유료 | 하나의 구독으로 주요 AI 모델을 모두 | [.md](https://openaitools.app/ko/tool/lorka-ai.md) |
| 10 | [Dify](https://openaitools.app/ko/tool/dify-ai) | 819,691 | -15% | 무료+유료 | 단순한 채팅 인터페이스 역할에 그치지 않고, 시각적 워크플로 구축 및 RAG 파이프라인에 특화되어 있습니다. | [.md](https://openaitools.app/ko/tool/dify-ai.md) |

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

More Markdown: [카테고리](https://openaitools.app/ko/categories.md) · [트래픽 순위](https://openaitools.app/ko/rankings.md) · [llms.txt](https://openaitools.app/ko/llms.txt)