Ollama
by Ollama · Run open models locally, with cloud capacity for larger ones
BenchRank score
Screenshots of Ollama
Homepage
Overview
Ollama runs open models locally through a CLI, API and desktop apps, installed with a single shell command. The same account gives access to cloud-hosted models on datacenter hardware, for larger models, parallel requests and real-time web information. Paid plans raise cloud usage limits and the number of cloud models that can run at once.
- Best for
- Developers who want to run open models on their own hardware, with cloud capacity for larger models.
- Pricing
- Free tier at $0, then Pro at $20/month or $200/year, and Max at $100/month with new sign-ups paused.
- Runs on
- WebmacOS
Strengths and trade-offs
Strengths
- Runs models on your own hardware with unlimited local use
- Free tier covers CLI, API, desktop apps and cloud models
- Prompt and response data is never logged or trained on
- 40,000+ community integrations listed
Trade-offs
- New Max subscriptions are paused while capacity is added
- Cloud limits reset on 5-hour session and 7-day windows
- Free tier runs one cloud model at a time; extra requests queue
- Usage is not a fixed token count, so it is hard to predict
How Ollama markets itself
A structured read of the promise, proof and page design on Ollama’s captured homepage.
Homepage capture
“The easiest way to build with open models”
- Angle: Simplicity / ease
- Hero: Terminal / CLI
Pricing
Published plans and prices from Ollama’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Ollama pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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