Ollama
✓ VerifiedRun AI models locally with Docker-like simplicity, 200+ model families, and full API compatibility
About
Ollama is the open-source standard for running AI models locally. With 155K+ GitHub stars and 2.5M weekly downloads, it provides Docker-like commands (pull, run, create) to manage 200+ model families on your own hardware. Ollama offers full OpenAI and Anthropic API compatibility as a drop-in replacement, GPU acceleration across Apple Metal, NVIDIA CUDA, AMD ROCm, and Vulkan, plus features like vision support, structured JSON outputs, tool calling, embeddings, and experimental image generation. Ollama Turbo ($20/month) adds optional cloud inference for users who want both local and hosted options.
Key Features
- ✓200+ model families: Qwen2.5-Coder, DeepSeek-Coder V2, Codestral, Qwen3-Coder, GPT-OSS, Llama 4, and more
- ✓Docker-like CLI: ollama pull, ollama run, ollama create with Modelfile customization
- ✓OpenAI and Anthropic API compatibility as a drop-in endpoint replacement
- ✓GPU acceleration: Apple Metal, NVIDIA CUDA, AMD ROCm, Vulkan
- ✓Multimodal vision support for image understanding
- ✓Thinking mode for chain-of-thought reasoning
- ✓Structured JSON outputs for reliable data extraction
- ✓Tool calling and function calling for agentic workflows
- ✓Local embeddings generation for RAG applications
- ✓Web search API for grounded responses
- ✓Experimental image generation (January 2026)
- ✓ollama launch command for Claude Code and Codex integration
- ✓Desktop application for macOS and Windows (July 2025)
Pros & Cons
Pros
- 200+ model families; run locally at no API cost
- OpenAI and Anthropic API compatibility as drop-in replacement
- GPU acceleration (Metal, CUDA, ROCm, Vulkan)
Cons
- Performance limited by local hardware
- No native code completion in IDE
Use Cases
- →Running AI models locally with complete privacy (data never leaves your machine)
- →Building local RAG applications with embeddings and tool calling
- →Drop-in replacement for OpenAI/Anthropic APIs in development and testing
- →Running open-weight coding models (Qwen, DeepSeek, GPT-OSS) at zero API cost
- →Integrating local AI into IDEs via Continue.dev or Cursor
- →Experimenting with open-source models for research and development
- →Offline AI capabilities for air-gapped or compliance-sensitive environments
- →Prototyping agentic workflows with local tool calling and structured outputs
Technical Details
Languages
AI Models
Integrations
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Frequently Asked Questions
What is Ollama?
Ollama is the open-source standard for running AI models locally. With 155K+ GitHub stars and 2.5M weekly downloads, it provides Docker-like commands (pull, run, create) to manage 200+ model families on your own hardware. Ollama offers full OpenAI and Anthropic API compatibility as a drop-in replacement, GPU acceleration across Apple Metal, NVIDIA CUDA, AMD ROCm, and Vulkan, plus features like vision support, structured JSON outputs, tool calling, embeddings, and experimental image generation. Ollama Turbo ($20/month) adds optional cloud inference for users who want both local and hosted options.
Is Ollama free?
Yes, Ollama is open source and free to use. Run any supported model locally on your hardware, 200+ model families including coding, chat, reasoning, and vision, OpenAI and Anthropic API compatible endpoints
What programming languages does Ollama support?
Ollama supports 1+ programming languages including Any (local inference for all model-supported languages).
What AI models does Ollama use?
Ollama is powered by Qwen2.5-Coder (88.4% HumanEval), DeepSeek-Coder V2, Codestral (Mistral), Qwen3-Coder, GPT-OSS (OpenAI, 20B/120B), Llama 4, DeepSeek-R1, Gemma (Google), 200+ model families.
What platforms does Ollama support?
Ollama is available on macOS, Windows, Linux, Docker.
What can Ollama do?
Ollama provides code completion, code generation, debugging, AI chat, agentic/autonomous mode. Key features include: 200+ model families: Qwen2.5-Coder, DeepSeek-Coder V2, Codestral, Qwen3-Coder, GPT-OSS, Llama 4, and more, Docker-like CLI: ollama pull, ollama run, ollama create with Modelfile customization, OpenAI and Anthropic API compatibility as a drop-in endpoint replacement.
Related Articles
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How to Set Up Ollama + Continue for Fully Private AI Coding
A step-by-step guide to running AI coding entirely on your machine with Ollama and Continue: zero cloud, zero API keys, full privacy.
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Workflow Resources
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Pricing
Ollama (Local)
Free
- Run any supported model locally on your hardware
- 200+ model families including coding, chat, reasoning, and vision
- OpenAI and Anthropic API compatible endpoints
- GPU acceleration (Apple Metal, NVIDIA CUDA, AMD ROCm, Vulkan)
- Full CLI with pull, run, create, and Modelfile customization
- REST API server on localhost:11434
- Desktop application for macOS and Windows
Ollama Turbo
$20/month
- Cloud inference service for remote model execution
- Run models beyond local hardware capabilities
- Same API compatibility as local Ollama
Company
- Name
- Ollama
- Founded
- 2023
- Location
- San Francisco, CA
- Users
- 2.5M weekly downloads
Links
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