Credits and cost

The platform counts in credits. One credit is one cent. Credits are spent on work actually done: on the run happening, on model calls, and on paid external operations. A seat on a plan does not consume credits by itself.

The formula

One run costs:

1 (the run itself)
+ per LLM node: 1 + input/1000 × k_in + output/1000 × k_out
+ media, web search, embeddings and reranking — as their own lines

k_in and k_out are that model’s rate per thousand tokens, input and output counted separately. They live in the model catalog: the vendor’s dollar price is already converted to credits with the markup applied, so nothing is recomputed at run time.

An unknown model does not become free: it falls back to a default rate. A zero in the catalog means the model really is free (a :free variant, say), not that its price is unknown — those are different things, and confusing them is expensive.

Billed separately

What How it is counted
Workflow run Fixed, once per run
LLM node call Fixed per call + tokens at the model’s rate
Image and speech generation By the cost the provider reported; a flat rate when it reported none
Web search By the search cost when the provider separated it; a flat rate otherwise
Embeddings and reranking By tokens
JavaScript node Fixed per code run

Where to see the spend

Settings → Usage shows the balance, a breakdown by event type and a timeline. Every run in Executions shows the tokens and credits it cost and which node spent them.

The assistant’s debug runs are not billed: the model decides to make them, not you.

What next