Ollama

Ollama

3.0

Ollama enables easy local deployment of large language models, offering a simple CLI and API for developers.

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Ollama
Last Updated Oct 21, 2026
Ollama screenshot

About

Ollama is a platform focused on the rapid deployment and execution of large language models (LLMs). It is designed to help developers and researchers simplify the often complex model configuration process, allowing users to easily run advanced AI models in local or cloud environments, thereby accelerating innovation and application development.

Key Features

One-click deployment of a wide range of large language models
Support for both local and cloud runtime environments
Simple command-line and API interfaces
Automatic handling of model dependencies and optimized configurations
Real-time monitoring and log management

Pricing & Fees

  • Pricing: Plans include Free ($0), Pro ($20/mo or $200/yr), Max ($100/mo), Team (from $500/mo, early access), and Enterprise (custom pricing).
  • Free tier: The Free plan lets you run models locally at no cost and includes starter usage credits with access to starter cloud models; no service fees apply.
  • Usage credits: Cloud usage is pay-as-you-go with per-million-token model pricing (e.g., gpt-oss:20b at $0.07 input / $0.30 output); Pro includes $60 of monthly credits, Max $300, and Team $1,000 shared across unlimited users. Off-peak discounts apply outside 12:00–18:00 UTC on weekdays and all day on weekends.
  • Platform availability: Ollama runs locally and in the cloud on macOS, Windows, and Linux, with a desktop app, CLI, REST API, and OpenAI API compatibility.
  • Team & Enterprise features: Higher tiers add centralized billing, model access controls, cost budgets for users and API keys, and priority or dedicated support.

Who It's For

Ollama is well suited for AI researchers, software engineers, tech entrepreneurs, educators, and any professional looking to quickly integrate large language models into their projects. Users can effectively leverage cutting-edge AI technology without needing deep infrastructure knowledge.