# Jan vs Reflection 70B Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. Reflection 70B records 0 monthly visits with 0% growth and Freemium pricing. | Metric | [Jan](https://openaitools.app/tool/jan) | [Reflection 70B](https://openaitools.app/tool/reflection-70b) | | :--- | :--- | :--- | | Website URL | https://jan.ai | https://reflection70b.net | | Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | Large Language Models (LLMs), Open Source AI Models, AI Text Generator, AI Chatbot | | Pricing Model | Free | Freemium | | Monthly Visits | 291,894 | 0 | | MoM Growth Rate | -9.6% | 0% | | Primary Market | United States | Global | | Direct Visits | 105,615 | 0 | | Review Score | 4.6 | 2.2 | | Saved Count | 6 | 0 | | Supported Platforms | Website | Website | ## Jan Jan is a desktop application that positions itself as an open replacement for ChatGPT, with the key difference that inference happens on hardware you control. After installing the app you pick a model, and Jan downloads and runs it locally, so prompts, chat history, and files stay on your machine rather than on someone else's server. For heavier workloads you can connect an OpenAI, Anthropic, Gemini, or Mistral key and route requests to the cloud while keeping the same chat interface and local history. The project is developed in the open by Menlo Research and has accumulated tens of thousands of GitHub stars along with millions of downloads. It exposes OpenAI-compatible local endpoints, which means existing tooling and SDKs can point at Jan instead of a hosted service, and it supports custom assistants with their own instructions and model choices. Recent releases have added an agent surface alongside the classic desktop chat, and a memory feature is announced as coming to carry context and preferences between sessions. Because it is open source, Jan can be audited, self-built, and extended, and there is no paid tier gating the desktop client. The practical tradeoff is that local model quality and speed depend entirely on your own GPU or CPU, so lighter machines will favor smaller quantized models while cloud keys remain the escape hatch for harder tasks. **Pricing & Plans:** Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. - **Local-first inference:** Download and run open models such as Llama, Mistral, Qwen, Gemma, and DeepSeek directly on your own machine, with chat data kept on device. - **Bring your own cloud models:** Optionally connect API keys for OpenAI, Anthropic, Gemini, Mistral, and other providers to route requests to frontier models from the same interface. - **OpenAI-compatible local API:** Jan exposes a local server endpoint that follows the OpenAI API shape, so existing SDKs and tools can talk to your local models without code changes. - **Custom assistants:** Create assistants with their own system instructions, model selection, and parameters, then reuse them across conversations. - **Open source and extensible:** The full desktop client and agent code are public on GitHub, so you can audit behavior, build your own version, and contribute improvements. **Strengths:** Completely free and open source, with no account required to run local models; Conversation data stays on your device by default; Works across macOS, Windows, and Linux with an OpenAI-compatible local endpoint; Optional cloud key support lets you mix local and frontier models in one app **Limitations:** Local model quality and speed are capped by your own hardware; Very large models may need substantial RAM or VRAM to be practical; Some cloud-connected and memory features are newer or still rolling out [Profile (Markdown)](https://openaitools.app/tool/jan.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 Jan and Reflection 70B compare in monthly traffic? Jan has 291,894 monthly visits, while Reflection 70B has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Jan has a month-over-month growth rate of -9.6%; Reflection 70B has 0%. ### How does pricing compare? Jan: Free. Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. 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 | [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) | | 6 | [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) | | 7 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) | | 8 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Specializes in document chat and local RAG workflows, though less focused on general-purpose model tinkering than Jan. | [.md](https://openaitools.app/tool/anythingllm.md) | | 9 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Unites multiple AI providers in a customizable open-source platform, but is typically deployed as a web server. | [.md](https://openaitools.app/tool/librechat.md) | | 10 | [HotBot](https://openaitools.app/tool/hotbot) | 331,286 | +30.3% | Freemium | One chat window for multiple third-party AI models | [.md](https://openaitools.app/tool/hotbot.md) | --- Source: https://openaitools.app/compare/jan-vs-reflection-70b More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)