Ollama, Joute's Review
Review of Ollama, the solution for running AI models locally. Pricing, alternatives, who it's for.
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Ollama in brief
The simplest tool for running AI models locally on your own machine. Essential for privacy-conscious developers.
- PriceFree, open source
- CategoryChat et modeles
- RecommendedYes
The essentials
- Application to download and run open source AI models locally
- Free and open source, no account required
- Compatible with Mac (Apple Silicon), Linux, and Windows
- CLI interface and local API compatible with OpenAI
What is Ollama?
Ollama is an application that lets you download and run open source AI models directly on your computer. No cloud, no API key, no data sent outside. You pick a model (Llama 4, Mistral, Qwen, Gemma, Phi, and dozens of others), install it with one command, and query it from your terminal or any application that supports the local OpenAI API. On Mac with Apple Silicon the performance is excellent. On a PC with an Nvidia GPU, same story.
Strengths
100% local, zero cloud
Your data never leaves your machine. For use cases involving confidential information or simply for offline testing, there's no substitute.
Free, no tokens to pay
Zero token cost. You pay your machine's electricity, that's it. For heavy use, that's a real economic argument against cloud APIs.
OpenAI-compatible API
Ollama exposes a local API that mirrors the OpenAI interface. All tools that support OpenAI (LangChain, Mastra, Continue, Roo Code) can point to local Ollama without changing their code.
Limits
Performance below cloud models
The models you can run locally are limited by your machine's RAM and GPU. The largest models (70B+) require serious hardware. Quality is below GPT-4o or Claude Opus for complex tasks.
Higher latency
Even with good Apple Silicon, a local model is slower than a cloud API with distributed architecture.
Pricing
Entirely free and open source. No costs beyond your machine's infrastructure.
Alternatives
Ollama = local AI models. Alternative LM Studio (lmstudio.ai) = friendlier graphical interface, same concept. Alternative Jan (jan.ai) = also open source, more complete interface, same use.
Verdict
Ollama is indispensable in any AI developer's toolkit. For prototyping, testing without exposing data, and integrating local models into pipelines, it's the reference tool. For production with maximum-quality requests, cloud APIs remain superior.
FAQ
Which models work with Ollama?
Llama (Meta), Mistral, Phi (Microsoft), Qwen (Alibaba), Gemma (Google), and dozens of others. The catalog is at ollama.com/library.
Does Ollama work on Windows?
Yes, since version 0.1.x. Performance is good with an Nvidia GPU.
Can you use Ollama with Cursor or VS Code?
Yes, via an extension or by configuring Roo Code / Continue to point at the local Ollama API.
How much RAM is needed at minimum?
8 GB RAM for 7B models (fine), 16 GB for 13B models (good), 32 GB+ for 30B+ models.
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Screenshots Ollama
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Ollama : 0/10.
The simplest tool for running AI models locally on your own machine. Essential for privacy-conscious developers..
Test Ollama yourself
A free trial is available. Plan thirty minutes to form your own opinion.
Affiliate link. Joute earns a commission at no extra cost to you. Our verdict stays independent.
Ollama
Free, open source