
Ollama
by Ollama · Run open models locally, with cloud capacity for larger ones
60 — BenchRank score out of 100
Screenshots of Ollama
Homepage Pricing page
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
Pricing
Published plans from Ollama’s own pricing page, in USD. Usage charges and add-ons may apply on top.
| Plan | Monthly | Annual (per month) | Includes |
|---|---|---|---|
| Free | Freeper account | — |
|
| Pro | $20per account | $16.67 |
|
| Max | $100per account | — |
|
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 0 out of 100
- API quality
- 45 out of 100
- Documentation
- 90 out of 100
- Agent friendliness
- 80 out of 100
- Pricing transparency
- 100 out of 100
- Changelog
- 100 out of 100
- Marketing site structure
- 70 out of 100
- Operational trust
- 15 out of 100
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
- 85 out of 100
- Maintenance
- 100 out of 100
This doesn’t look right — report a problem with Ollama’s score
Alternatives in Model Hosting & Inference
Ranked 1
77.3 — BenchRank score out of 100Phoenix
Arize Phoenix · Open-source tracing, evaluation and experimentation for AI agents
Best for: AI engineers who need to trace, evaluate and iterate on LLM agents on their own infrastructure
Ranked 2
72.5 — BenchRank score out of 100Helicone
Helicone · AI gateway and LLM observability for routing, debugging and analysing apps
Best for: AI engineering teams routing, debugging and monitoring LLM calls across many providers
Ranked 3
72.2 — BenchRank score out of 100Replicate
Replicate · Run, fine-tune and deploy AI models through a cloud API
Best for: Developers who want to run, fine-tune or deploy AI models via an API without managing GPUs

