Direct answer
What is Ollama?
Ollama lets developers run open-weight AI models locally on their machines or through dedicated cloud capacity, integrating directly with coding agents, IDEs, and developer tools.
Ollama is a developer tool and platform created to run open-weight language models efficiently. It enables developers to execute models such as DeepSeek, Gemma, GLM, Kimi, MiniMax, Mistral, and Nemotron on their own hardware or via Ollama Cloud infrastructure hosted in the United States, Europe, and Singapore. The platform is built around privacy and developer ergonomics. Prompts run locally never leave the user's computer, while cloud-hosted models are processed transiently with strict zero-logging and no-training policies in partnership with NVIDIA Cloud Providers. Ollama connects directly into popular coding environments and agent tools including Claude Code, Codex, VS Code, OpenCode, and n8n. In addition to model hosting and execution, Ollama provides capabilities like streaming responses, structured outputs, vision, embeddings, web search, and tool calling for agentic workflows. Cloud pricing is credit-based with dedicated concurrency limits and per-million-token pay-as-you-go pricing.
Ollama combines zero-configuration local model execution where data never leaves the device with managed cloud endpoints delivering identical open models at native weights with tool calling.
Product capabilities
Key features
Local Model Execution
Run open models directly on Linux, macOS, Windows, and Docker with zero data leaving your device.
Dedicated Cloud Capacity
Access larger frontier open models hosted in the US, Europe, and Singapore with consistent throughput and native weights.
Agent and IDE Integrations
Launch models with one command into developer workflows including Claude Code, Codex, VS Code, and n8n.
Tool Calling and Structured Outputs
Supports function calling, structured outputs, thinking, streaming, vision, embeddings, and web search.
Strict Data Privacy
Guarantees that user prompts and responses are never logged, stored, or used for model training.
Developer SDKs and CLI
Manage models and configurations via command line or programmatically with official Python and JavaScript/TypeScript libraries.
Practical fit
Who should use Ollama?
Offline Coding Assistant
Connect Ollama to VS Code, Codex, or Claude Code to provide code completions and agentic edits entirely offline.
Private LLM Inference for Agents
Power autonomous multi-step agents in n8n or custom agent frameworks without sending proprietary data to third-party model trainers.
Model Benchmarking and Swapping
Switch between open models like DeepSeek, Gemma, Mistral, and Kimi using uniform local and cloud API endpoints.
Function Calling and Data Extraction
Use models with native tool calling and structured outputs to parse data, call APIs, and execute backend automation.
Editorial assessment
Pros and limitations
Where it is strong
- Running models locally is completely free with no usage limits
- Clear privacy policy ensuring zero logging or training on cloud and local prompts
- Native support across macOS, Windows, Linux, and Docker
- Seamless one-command integrations with coding agents like Claude Code and Codex
Where to be careful
- Cloud pricing includes peak pricing surcharges on select models between 12:00 and 18:00 UTC
- Local model performance and speed are strictly bound by user hardware and GPU VRAM
- Enforces a strict policy of one account per person
Commercial context
Ollama pricing
At the review date (September 2026), local model execution is free and unlimited. Ollama Cloud includes a Free tier with starter credits, Pro at $20/month ($60 credits), Max at $100/month ($300 credits), Team at $500/month ($1,000 credits), and custom Enterprise plans. Token usage beyond included credits is billed by model rates, with peak pricing weekdays 12:00–18:00 UTC. Check ollama.com/pricing for current rates.
| Plan | Price | What it includes |
|---|---|---|
| Free | $0 / month (resets monthly from signup date; local runs always free and unlimited). Cloud credits unlock starter models, with extra credit top-ups available without service fees | |
| Pro | $20 / month ($200/year billed annually). Includes $60 of monthly usage credits and 3 concurrent cloud requests | |
| Max | $100 / month. Includes $300 of monthly usage credits, early access to newest models, and 10 concurrent cloud requests | |
| Team | $500 / month (early access). Includes unlimited users, $1,000 shared monthly usage credits, centralized administration, and 10 concurrent requests | |
| Enterprise | Custom / custom volume billing. Includes custom model access controls, user budget caps, private Slack support, and custom security reviews |
Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.
Transparent ranking
Why Ollama scores 77.2
Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.
Compatibility
Languages, platforms, and integrations
Languages
- English
Platforms
- macOS
- Windows
- Linux
- Docker
Integrations & surfaces
- Claude Code
- Codex
- VS Code
- n8n
- OpenCode
- Hermes Agent
- OpenClaw
- Docker
- Python
- JavaScript
Community
Reviews and questions
No approved member reviews yet. Editorial factors above are the only rating on this page.
Reviews and questions come from Google-signed members and are checked by an editor before they appear.
Frequently asked
Ollama FAQ
Is Ollama free to use?+
Running models on your own local hardware is completely free and unlimited. Ollama also offers a Free cloud tier with starter usage credits, as well as paid plans starting at $20/month for additional usage credits and access to larger cloud models.
Are my prompts used to train AI models?+
No. When running locally, nothing leaves your machine. When using Ollama Cloud, prompts and responses are processed transiently to fulfill the request and are never logged, retained, or used to train models.
Which operating systems are supported?+
Ollama is officially supported on macOS, Windows, Linux, and Docker containers.
What capabilities do Ollama models support?+
Depending on the model, Ollama supports chat, streaming, thinking, structured outputs, vision, embeddings, tool calling, and web search.
What is peak pricing for cloud models?+
Peak pricing applies between 12:00 and 18:00 UTC, Monday through Friday, during which certain cloud models carry higher input and output rates per million tokens.
