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You're paying per message for Claude or ChatGPT — and for a lot of what you do, that's the right call. But not everything needs a frontier model. Formatting a spreadsheet. Summarizing a doc. Running a background automation at 2am. Does that really need the same model that handles your hardest problems?
That's the gap Ollama fills.
What it actually is
Ollama is a free, open-source way to run AI language models — on your own computer, or, through its newer "Ollama Cloud" option, on Ollama's own servers instead of yours. Think of it like a media player, but for AI models instead of movies. Ollama isn't an AI itself — it's the plumbing that loads a model and lets you talk to it. The models themselves — Llama, Qwen, DeepSeek, Gemma, Hermes — are built by other labs (Meta, Alibaba, DeepSeek, Google, Nous Research) and released "open weight," meaning anyone can download and run them instead of only reaching them through one company's paid API.
It plugs straight into tools you probably already use — Claude Code, Codex, VS Code, n8n. Point any of them at Ollama instead of a frontier provider, and your workflow doesn't change. Same commands, a different (usually much cheaper) model underneath.
What it's NOT
It's not a chatbot brand — there's no "Ollama the assistant" the way there's "Claude the assistant." It's not automatically private just because "local" is its reputation — Ollama Cloud sends your prompts to Ollama's servers, with a no-training policy but not a local guarantee. It's not as strong as the best frontier models on genuinely hard reasoning or high-stakes coding. And it's not free at scale in the cloud: Ollama Cloud starts at $20/month ($200/year), up to $100/month for heavier use.
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Where it sits
Frontier cloud AI (Claude, ChatGPT) is best quality, closed, pay-per-use. OpenRouter is a marketplace, not a model — one account, 500+ models across 80+ providers, no markup on usage. Ollama local is free after setup, fully private, offline-capable, limited by your hardware. Ollama Cloud is the same open models on their hardware instead of yours — no GPU needed, still far cheaper than frontier APIs.
Right now the top downloads are Gemma 4 (Google), Qwen 3.6 (Alibaba), GLM 5.1 (Zhipu, built for coding agents), and DeepSeek V4 Pro (strong reasoning per dollar). Worth knowing too, though it's not one of Ollama's own top downloads: Hermes 4.3 (Nous Research), tuned for "neutral alignment" — fewer built-in restrictions, which cuts both ways.
When you'd actually use it
Budget coding — point Claude Code at an Ollama model for boilerplate, save frontier calls for the hard problems. Privacy-sensitive work — legal docs, health records, run it fully local. Always-on automation — a background agent racking up a metered bill gets dramatically cheaper on an open model; this is also where dedicated agent apps like Hermes Agent (Nous Research's assistant, a separate product from the model) and OpenClaw (an independent project built on Claude's Agent SDK, not an Anthropic product) come in. Offline work. Or just experimenting, free.
The honest tradeoff
Local needs a decent computer. Cloud is still a subscription sending prompts somewhere, just not to a frontier AI company. Open models are catching up fast but still generally trail the best closed models on the hardest work. And it's one more decision to manage — "just use Claude for everything" is simpler than routing tasks by model.
Pick one recurring task that doesn't need your best model, and try it on Ollama instead. It installs in under two minutes, and the free tier costs nothing. Download Ollama →
The site version has the full comparison table, the current model lineup, and a copy-paste prompt that walks through which of your tasks could move to a free model.
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That's AI Super Simplified.