LM Studio and Ollama both run open models on your own machine for free, and both can serve them through a local API. The difference is where each one starts. LM Studio starts from a desktop app, where you browse, download, and chat with models, and its newer Bionic agent builds documents and code on top of them. Ollama starts from the command line, with models pulled by name and an API that runs in the background.
LM Studio suits people who'd rather work in an app than a terminal. It runs models on llama.cpp and Apple's MLX engine, and its local server offers both OpenAI- and Anthropic-compatible endpoints alongside its own REST API, TypeScript and Python SDKs, and the lms CLI. For servers or CI, the llmster daemon runs the same core without the GUI, and LM Link lets one device use models loaded on another. Paid plans start at $20 a month for US-hosted open models with zero data retention.
Ollama suits developers who live in the terminal or want local models inside scripts and containers. It installs with one command on macOS, Windows, and Linux, ships an official Docker image, and is MIT-licensed. Official Python and JavaScript libraries sit on its REST API, and ollama launch connects models straight to coding agents like Claude Code and Codex. Its paid plans also start at $20 a month and add cloud models with higher concurrency.
Both tools are built to run models locally, and neither routes across providers or scores output quality in production. Once an app built on local models needs to serve real users, Respan routes across 1,000+ hosted models, including open models from providers like Together AI and Fireworks, and traces Ollama calls through a native integration, with evals on live traffic.
LM Studio is a desktop app for running open models locally on llama.cpp and MLX, with a local OpenAI-compatible server, SDKs, and the Bionic agent.
Ollama is an open-source tool for running open models like Gemma, Qwen, and DeepSeek locally through a CLI and REST API, with optional cloud models.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
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Choose LM Studio if you wantChoose if you want
Choose Ollama if you wantChoose if you want
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