Head to head

Ollama vs Continue

Ollama and Continue both work in AI Models. Here is how they stack up on pricing, access, context and our editorial scores, and which one to pick.

Side by side

Tool
Ollamaby Ollama (open source)4.7Setuproll editorial score
Tool
Continueby Continue4.4Setuproll editorial score
PricingOpen SourceFree and open source
PricingOpen SourceFree, bring your own API key
AccessLocal
AccessPlugin
ContextModel-dependent
ContextModel-dependent
Open sourceYes
Open sourceYes
Best forRunning open-weight models locally with one command
Best forCustomisable open assistant
Setuproll score4.7
Setuproll score4.4

The verdict

Ollama edges ahead overall, with a 4.7 Setuproll editorial score and a strong fit for running open-weight models locally with one command. Continue is the better pick when you want customisable open assistant, and it stays in the running on price and access. Most teams choose Ollama as the default and reach for Continue when their workflow leans that way.

Frequently asked questions

Is Ollama or Continue better?

Ollama holds a 4.7 Setuproll editorial score and is best for running open-weight models locally with one command, while Continue holds a 4.4 and is best for customisable open assistant. Pick Ollama for running open-weight models locally with one command and Continue for customisable open assistant.

What is the difference between Ollama and Continue?

Ollama is reached as Local (open source) with Model-dependent, while Continue is reached as Plugin (open source) with Model-dependent. They overlap on AI Coding but lead in different parts of the workflow.

Is Ollama cheaper than Continue?

Ollama is free and open source, and Continue is free, bring your own api key. Both have a path to start without a large upfront cost.

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