# Beam vs Ollama Beam records 0 monthly visits with -100% month-over-month growth and Paid pricing. Ollama records 9,421,973 monthly visits with +4.3% growth and Free, Freemium, Paid pricing. | Metric | [Beam](https://openaitools.app/tool/beam) | [Ollama](https://openaitools.app/tool/ollama) | | :--- | :--- | :--- | | Website URL | https://getbeam.ai | https://ollama.com | | Categories | AI Assistant, AI Chatbot, AI Copilot, AI PDF | Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | | Pricing Model | Paid | Free, Freemium, Paid | | Monthly Visits | 0 | 9,421,973 | | MoM Growth Rate | -100% | +4.3% | | Primary Market | Global | China | | Direct Visits | 0 | 4,020,134 | | Review Score | 4.2 | 4.8 | | Saved Count | 3 | 0 | | Supported Platforms | Website | app, open-source, website | ## Beam Beam is built for people who live inside a handful of macOS apps and are tired of switching to a browser tab every time they want an AI answer. Rather than re-implementing a chat window, it bolts a lightweight, native launcher onto your desktop: press a hotkey, a small panel appears above whatever you are doing, and the result can be pushed straight back into the current field. Because it is written natively rather than in Electron, it starts quickly and uses little memory, and its creators emphasize that it is sandboxed and only talks to OpenAI's servers. Beyond the basic chat panel, Beam layers in productivity plumbing. Templates let you turn frequently repeated prompts into fill-in-the-blank forms, profiles keep different assistants (a copywriter, a coder, a translator) configured with the right model and instructions, and PDF support turns long documents into something you can interrogate. Screen capture is exposed through the same hotkey model, so asking about a chart, an error message, or a design can be done without saving a file first. Beam is a third-party client and is not affiliated with or endorsed by OpenAI; it uses the OpenAI API, so you bring your own API key and pay OpenAI for usage separately. It is distributed as a paid macOS app on a pay-what-you-want basis, with no subscription required and no login to the vendor's servers. **Pricing & Plans:** One-time, pay-what-you-want purchase for the macOS app with no subscription. You supply your own OpenAI API key and pay OpenAI separately for the tokens you use. The site offers a free trial and a refund policy. - **Hotkey access from anywhere:** Hit a global hotkey to open a floating chat panel over any app, ask a question, and drop the answer back into your document or field without switching windows. - **Inline text editing:** Select a text snippet, chat about it, and insert the improved version back into your app with a single keystroke. - **Chat with your screen:** Grab a screen region with a hotkey and ask ChatGPT to explain, transcribe, or describe what is shown in it. - **Prompt templates:** Save frequently used prompts as reusable templates with blank fields, so repetitive writing tasks like emails or blog drafts take seconds. - **AI profiles:** Create named AI profiles that pin a model and system instructions to a persona, so every conversation keeps the right tone and context. - **Chat with PDFs:** Open and question PDF files directly to pull summaries, answers, and key points out of long documents. **Strengths:** Native macOS build keeps memory use low and response times snappy; Global hotkey access means no window juggling or context switching; Templates and AI profiles cut repetitive prompt writing; Sandboxed design and local key storage reduce privacy concerns [Profile (Markdown)](https://openaitools.app/tool/beam.md) ## Ollama Ollama has become the default way many developers get started with open models. A single install gives you a local server and a command line that pulls model weights, manages versions, and exposes a simple HTTP API on your machine. Because everything runs locally, prompts and responses never leave your computer, which makes it a natural fit for privacy-sensitive prototyping, offline work, and experiments that should not be metered per token. The project has expanded well beyond a local runtime. Ollama now also serves open models in the cloud, so you can reach larger or more capable checkpoints without owning a high-end GPU. The company reports over nine million monthly installs, more than a billion model downloads, and hundreds of trillions of tokens served, which reflects how widely the tool is embedded in AI developer workflows. Pricing stays approachable: running models on your own hardware is free and unlimited, while cloud usage is metered per token, with subscription plans for individuals, power users, and teams. Model weights are supplied by the upstream publishers, and Ollama states that prompt and response data are never logged or used for training. **Pricing & Plans:** Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered. - **One-command local models:** Install once and pull open-weight models by name; Ollama handles weights, quantization and versioning for you. - **Local HTTP API and CLI:** A built-in server exposes a straightforward REST API, so scripts, editors and agents can talk to local models with minimal setup. - **Cloud models for bigger jobs:** Route requests to hosted open models when your laptop cannot hold the checkpoint you need, with per-token pricing and concurrency tiers. - **Broad model catalog:** Access families such as Llama, Qwen, DeepSeek, Gemma, Mistral and gpt-oss from a single interface. - **Privacy by default:** Local inference keeps prompts and outputs on your own device, with no logging or training on your data. **Strengths:** Extremely quick to install and use, with a friendly CLI and API; Local inference means strong privacy and no per-token cost on your own hardware; Wide, actively updated catalog of open-weight models; Cloud option scales to larger models without new hardware **Limitations:** Local performance depends heavily on your GPU and RAM; Cloud usage is billed per token and large models add up quickly; Advanced serving features are less extensive than dedicated inference servers [Profile (Markdown)](https://openaitools.app/tool/ollama.md) ## Frequently Asked Questions ### How do Beam and Ollama compare in monthly traffic? Beam has 0 monthly visits, while Ollama has 9,421,973. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Beam has a month-over-month growth rate of -100%; Ollama has +4.3%. ### How does pricing compare? Beam: Paid. One-time, pay-what-you-want purchase for the macOS app with no subscription. You supply your own OpenAI API key and pay OpenAI separately for the tokens you use. The site offers a free trial and a refund policy. Ollama: Free, Freemium, Paid. Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered. ## 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 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Cloud API gateway providing instant access to thousands of models, trading local hardware privacy for cloud compute. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 3 | [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) | | 4 | [ChatPDF](https://openaitools.app/tool/chatpdf) | 1,044,477 | -3.7% | Freemium | Chat with any PDF, video, or website and get cited answers in seconds | [.md](https://openaitools.app/tool/chatpdf.md) | | 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source platform for building visual agentic workflows and RAG pipelines using local or cloud models. | [.md](https://openaitools.app/tool/dify-ai.md) | | 6 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted web chat interface designed to manage and query local models like Ollama. | [.md](https://openaitools.app/tool/open-webui.md) | | 7 | [Raycast](https://openaitools.app/tool/raycast) | 710,581 | -24.5% | Freemium, Free Trial | An extendable launcher that puts your tools, AI, and automations one keystroke away | [.md](https://openaitools.app/tool/raycast.md) | | 8 | [Craft](https://openaitools.app/tool/craft-do) | 703,417 | +8.9% | Freemium | A polished space for notes, tasks, and documents that follows you across every device. | [.md](https://openaitools.app/tool/craft-do.md) | | 9 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Privacy-first desktop app focused specifically on local document chat and RAG, unlike Ollama's general-purpose CLI runtime. | [.md](https://openaitools.app/tool/anythingllm.md) | | 10 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Development framework for connecting local models to external document stores and structured data sources. | [.md](https://openaitools.app/tool/llamaindex.md) | --- Source: https://openaitools.app/compare/beam-vs-ollama More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)