LM Studio vs Ollama (2026): which should you pick?

Pick LM Studio if

• Fits if you want open models running on your own Mac, Windows or Linux computer
• Works for developers who want a local OpenAI-like endpoint for their own tools

Look elsewhere if

• Skip it if your computer is modest, as the docs recommend 16GB of RAM or more, and 4GB of VRAM on Windows
• Not for you if you have an Intel-based Mac, which isn't supported
• Watch out: there's no phone app; on iPhone and iPad you go through the separate Locally app over LM Link, a preview
• Pricey if you want cloud models: Bionic+ is $20 a month in a separate app, and Pro is $100 for 5x the usage
• Watch out: LM Link is free only while it's in preview, and web search on the free plan is limited

Pick Ollama if

• Fits if you are happy in a terminal and want models running on your own machine
• Works for developers who want an OpenAI-style API pointed at local models

Look elsewhere if

• Skip it if you want a ready chat window, as the pages we read describe none
• Tight if your computer has no capable GPU, because large models run slowly
• Watch out: cloud use past your plan's credits is billed per token at each model's rate
• Watch out: Team is marked early access, and some Pro and Team features are listed as coming soon

LM Studio

• LM Studio itself is desktop only; on iPhone and iPad its models are reached through the separate Locally app. Intel-based Macs are not supported.
• Local models need capable hardware: the docs recommend 16GB of RAM or more, and on Windows at least 4GB of dedicated VRAM.
• The paid plans cover cloud models in LM Studio Bionic, a separate app; cloud use needs an LM Studio account with available credits.
• LM Link is in preview and free for now; LM Studio says free and paid LM Link plans will follow at general availability.

Ollama

• It is driven from a command line and API; the pages we read describe no built-in chat app.
• Local speed depends on your hardware; the vendor warns large models are slow without a strong GPU.
• Cloud usage beyond a plan's monthly credits is billed per token at the listed model rates.
• Team is marked early access, and some Pro and Team features are listed as coming soon.

LM Studio

Local model runner

Downloads and runs open models such as gpt-oss, Qwen, Gemma and DeepSeek on your own hardware with llama.cpp, plus Apple's MLX on Apple Silicon Macs.

Offline chat with documents

Chat and document chat (RAG) run on the device. The docs say nothing entered into a local chat or dropped into it as a document leaves the machine.

Local API server and SDKs

Serves models on OpenAI-like endpoints on localhost or the local network, with Python and TypeScript SDKs, the lms command line tool and the headless llmster daemon for servers.

MCP client

MCP servers can be installed in LM Studio so that local models can call the tools they provide.

LM Link

Links your own machines over an end-to-end encrypted connection built on Tailscale, so a model on a remote device can be used as if local, including from an iPhone through the Locally app. In preview.

LM Studio Bionic agent

A separate app that works on code and on documents, slides and spreadsheets inside projects, using local models, LM Link models or cloud models billed in credits.

Ollama

Local models

Download an open model and run it on your own machine. Speed depends on your hardware, and large models are slow without a strong GPU.

Cloud models

Run larger open models on Ollama's servers with no download. Model names ending in :cloud select them, and the API is at ollama.com.

API compatibility

The docs describe OpenAI-compatible and Anthropic-compatible APIs, so apps written for those SDKs can point at Ollama.

Per-token model pricing

The pricing page lists input, cached input and output prices per million tokens for each cloud model, with lower off-peak rates on some.

Zero data retention

Ollama says prompts are never stored or trained on, and that partner providers must agree to no logging and no training.

LM Studio

• Free$0

  Local models through llama.cpp and MLX, the Bionic agent, offline voice transcription, LM Link for up to 5 devices and limited web search.

• Bionic+$20

  per month

  Adds US-hosted open source cloud models such as Kimi K3 and DeepSeek V4 Flash, discounted bulk tokens, and web search with page extraction.

• Pro$100

  per month

  Everything in Bionic+ with 5x the usage limits, discounted bulk tokens and early access to new features.

Ollama

• Pay as you go$0

  Run models locally at no cost; cloud models are billed per token. 3 concurrent requests and no service fees.

• Pro$20

  per month, billed monthly ($16.67 billed annually)

  $60 of usage credits per month and access to larger pro models. Annual billing is $200 a year.

• Max$100

  per month

  Everything in Pro plus $300 of monthly usage credits, early model access and 10 concurrent requests.

• Team$500

  per month for unlimited users

  $1,000 of monthly credits shared by the team, central billing and administration, and priority support. Early access.

• EnterpriseCustom

  Adds model access controls, cost budgets for users and API keys, and a private Slack channel. Priced by volume.

LM Studio

No public discounts listed.

Ollama

• Annual discount

  Pro costs $200 a year billed annually

  Ollama's pricing page shows Pro at $20 a month, or $200 a year billed annually, which works out to $16.67 a month.