Token / Cost Estimator

Input promptPrompt tokens

Input prompt

Paste the prompt or instructions you expect to send to the model.

Output sampleResponse tokens

Output sample

Paste a representative model answer to estimate completion cost.

RatesPer 1M tokens

Input token rate

Cost per one million input tokens in your current pricing model.

Output token rate

Cost per one million output tokens in your current pricing model.

Input tokens6

Output tokens15

Total cost$0.0000

Bring your own rates

Prices change often, so this tool lets you supply your own input and output rates instead of baking in stale vendor pricing.

These are the practical situations where this workflow usually earns its keep.

You are still shaping the prompt, schema, trace, eval case, or safety posture and want a fast local iteration loop first.

You need a review-friendly artifact before sending work into a live model, batch eval, or agent integration.

You want to compare or inspect AI workflow material without exposing internal prompts or source text more widely than necessary.

These are the checks that usually keep the output useful instead of misleading.

Treating heuristic local checks as definitive proof of model quality or safety.

Testing only polished examples instead of the messy or adversarial inputs users will actually create.

Moving prompts or traces into external systems before checking policy and data handling expectations.

These tools often appear right before or right after this workflow.