Ollama vs LM Studio (2026)
Ollama and LM Studio both let you download open AI models and run them on your own computer, and both now sell optional cloud plans. This page sets their published plans and stated features side by side. We don't pick a winner; the right choice depends on your needs. We have not tested either product hands-on; everything below comes from the makers' own sites.
| Ollama | LM Studio | |
|---|---|---|
| What it does | Open-source (MIT) tool for running open AI models locally on macOS, Windows and Linux, with a CLI, a local REST API and optional cloud models; the site lists a free plan for local use with starter cloud credits and paid cloud plans from $20/month. | Desktop app from Element Labs for downloading and running local LLMs (llama.cpp, and MLX on Apple Silicon) with a chat interface, local OpenAI-compatible API and its Bionic agent for documents and code; the site lists a free plan for local models and optional US-hosted cloud plans from $20/month. |
| Free plan | Yes: run models locally, plus starter cloud usage credits (pay-as-you-go credits unlock more cloud models) | Yes: run local LLMs, the Bionic agent, offline voice transcription, LM Link for up to 5 devices and limited web search |
| Paid plans (as of Oct 2026) | Pro $20/month or $200/year (includes $60 of cloud usage credits a month); Max $100/month ($300 of credits a month) | Bionic+ $20/month (US-hosted open-source models, web search and page extraction); Pro $100/month (5x usage limits) |
| Teams | Team $500/month in early access (unlimited users, $1,000 of shared credits a month); Enterprise custom | Organizations with centralized billing for inference credits; team subscription plans listed as coming soon; Enterprise via contact form |
| Operating systems | macOS, Windows and Linux | Apple Silicon Macs, x64/ARM64 Windows PCs and x64 Linux PCs |
| How you use it | Command line (ollama run) and a local REST API | Desktop chat app and Bionic agent, plus the lms CLI and a headless daemon (llmster) for servers |
| Developer APIs | Local REST API; OpenAI- and Anthropic-compatible endpoints (a subset of the OpenAI API) | Local REST API; OpenAI- and Anthropic-compatible endpoints; Python and TypeScript SDKs |
| Model runtimes | Lists llama.cpp as a supported backend | llama.cpp (GGUF) on all platforms, Apple MLX on Apple Silicon |
| License | Open source, MIT license (GitHub) | Proprietary app under LM Studio's terms, licensed for personal and internal business use |
| Official site | https://toolsandagents.com/tool/ollama/ | https://toolsandagents.com/tool/lm-studio/ |
| Details | Ollama page | LM Studio page |
Who each one fits
Based on each maker's stated features, not on our own testing.
- Ollama: Developers who want an open-source, command-line model runner with a local API to plug into their own apps, scripts and agent tools, with the option of paying for cloud-hosted open models.
- LM Studio: People who prefer a desktop app for browsing, downloading and chatting with local models, developers who want a local OpenAI- or Anthropic-compatible server with Python and TypeScript SDKs, and Apple Silicon users who want MLX models.
Related pages
FAQ
What is the difference between Ollama and LM Studio?
Ollama: Open-source (MIT) tool for running open AI models locally on macOS, Windows and Linux, with a CLI, a local REST API and optional cloud models; the site lists a free plan for local use with starter cloud credits and paid cloud plans from $20/month. LM Studio: Desktop app from Element Labs for downloading and running local LLMs (llama.cpp, and MLX on Apple Silicon) with a chat interface, local OpenAI-compatible API and its Bionic agent for documents and code; the site lists a free plan for local models and optional US-hosted cloud plans from $20/month.
Are Ollama and LM Studio free?
Both list a $0 plan for running models locally on your own computer. Both also sell optional cloud plans that start at $20/month (as of Oct 2026).
Is LM Studio open source?
No. Ollama is open source under the MIT license, per its GitHub repository. LM Studio's app is provided under its own terms of use, which license it for personal and internal business purposes.
Can I point OpenAI-style code at them?
Yes. Both document OpenAI-compatible and Anthropic-compatible endpoints on their local servers. Ollama notes it supports a subset of the OpenAI API.
How was this comparison made?
Only from what each product's official site says. We have not run hands-on tests, and we do not score, rank or pick a winner.
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