Ollama

Run open-source LLMs locally or in the cloud with your coding agents, privately

Data verified Oct 16, 2026

Pundit
Score

Editorial Verdict

AI-researched, not hands-on tested

Open weights, open source, and a real privacy guarantee -- prompts are never tracked or trained on -- make Ollama a genuine way to run frontier-capable open models yourself. Local inference on consumer hardware is meaningfully slower than cloud alternatives (5-15 tokens/sec for a 7B model), it serves prompts sequentially by default, and a 7B model practically needs 32GB of RAM to run comfortably.

Reviewed by AIToolPundit Editorial Team · last verified October 2026

About Ollama

Ollama lets developers download, run, and customize open-source large language models such as Llama on macOS, Windows, or Linux, with all processing able to happen locally and offline for privacy. It also offers access to hosted cloud models with dedicated capacity for faster throughput, and integrates with coding agents like Claude Code and Codex without changing your workflow. Models can be customized via Modelfiles and integrated into other software through its API and command-line tools.

Screenshots

Commonly Cited Strengths & Limitations

Strengths

Most popular way to build with open models
Complete privacy with prompts never stored or trained on
Supports running the latest open models

Limitations

Local inference can be significantly slower than cloud alternatives (e.g. 5-15 tokens/sec for a 7B model on consumer CPUs)
Unloads models from memory after a few minutes of inactivity, requiring manual configuration
Serves prompts sequentially by default, queuing parallel requests instead of running them concurrently
Poor multi-GPU load distribution, routing requests to one GPU while others sit idle
High RAM requirements (16 GB minimum, 32 GB practical baseline for 7B models)
Limited/inconsistent tool-calling support when used without an agent framework
Reports of models inconsistently generating text or stopping after a few words

Common Use Cases

Build applications with open models
Run open models privately

Details

Pricing Model: Unknown
Team Size: more than 9M developers
Category: Developer Tools

Who is Ollama for?

Developers

Developers use Ollama to run open models with their coding agents, spending less while keeping data private.

Frequently Asked Questions

Is Ollama free?

Ollama offers a free plan.

Does Ollama have an API?

Yes, Ollama provides an API for developers.

Is Ollama open source?

Yes, Ollama is open source.

What does Ollama integrate with?

Ollama integrates with Claude Code, Codex, OpenCode, Hermes Agent, OpenClaw, VS Code, Pi, n8n.

Is Ollama cloud-based or self-hosted?

Ollama is offered as both cloud and self-hosted (hybrid) deployment.

What are the downsides of Ollama?

Local inference can be significantly slower than cloud alternatives (e.g. 5-15 tokens/sec for a 7B model on consumer CPUs) Also, Unloads models from memory after a few minutes of inactivity, requiring manual configuration

Who is Ollama best for?

Ollama is best suited for Developers.

What can I use Ollama for?

Common uses for Ollama include build applications with open models, run open models privately.

How does Ollama compare to IBM API Connect?

Ollama and IBM API Connect are both used for developer tools -- specifically dev infrastructure tools. See the full side-by-side comparison for pricing and feature differences.