Standard Compute
← The general playbook

Cut Continue's API Costs

Continue is no longer maintained (its team joined Cursor and the repo is read-only), so for a new setup Cline or Kilo Code is the safer pick; for an existing install, the levers still hold. Continue has two cost profiles in one tool: autocomplete fires hundreds of small requests per day, while chat and inline edits send fewer, bigger ones. The canonical setup (local model for autocomplete, paid model for chat) eliminates the high-frequency half of the bill entirely.

Where Continue's money actually goes

·Autocomplete is high-frequency by nature: every pause in typing can trigger a completion request.
·Chat with codebase context pulls files into every exchange via context providers.
·It's an assistant, not an autonomous agent: costs track your active hours, not a background loop.

The Continue-specific tactics

01

Run autocomplete on a local model

Continue supports Ollama and other local backends natively, and small local models are genuinely good at completion. This removes the highest-request-count workload from your API bill at a stroke.

02

Trim your context providers

Every provider you enable adds tokens to chat requests. Keep the ones you actually use; drop the rest. It's a per-message tax.

03

Use slash commands over long prompts for repeat jobs

Slash commands encode your standard instructions once instead of re-typing (and re-billing) them in every chat.

04

Flat-rate if chat is your main interface

If you lean on chat and inline edits all day across a large codebase, the context-heavy requests add up; a flat-price endpoint covers that half while local autocomplete covers the other.

The provider-agnostic tactics (prompt caching, retry budgets, batch APIs) are in the general playbook.

Continue costs: common questions

Is Continue's autocomplete expensive to run?

On a paid API it can be. It's the highest-frequency workload in the tool. That's why the standard advice is a local model for autocomplete (free after setup) and a paid model only for chat and edits.

Can I use different models for autocomplete and chat in Continue?

Yes, that split is a first-class part of Continue's config. Most cost-conscious setups pair a small local model for completions with a stronger cloud model for chat.

The structural version of all of this: run Continue on a flat monthly price, and the bill stops being a variable to manage. 2-minute Continue setup → · Best models for Continue →