What will
the model
cost you
For developers and product teams budgeting AI features.
Every number comes from the vendor's own pricing page, read on 2026-10-20, and runs in your browser. No account. No data leaves the page.
Prices read from the vendor pages on 2026-10-20. Arithmetic on list prices, not advice or a quote.
Saving and exports need Norwell Tools Pro, $9 a month. See what is in it. Everything above is free.
Tools
Every calculator.
Each one is a pure function with its formula, a worked example and dated sources on the page. The same functions ship as a JSON feed for other software.
LLM API cost
Monthly and per-request cost of an LLM API workload from input tokens, output tokens, requests a month, cached share and the Batch discount.
The same workload priced on every model in the table, cheapest first.
Pro for exportsWhat one prompt costs on a model from its length in characters and the expected answer length.
How many requests and tokens a monthly budget buys on a model.
Convert a token price between per 1M, per 1K and per token, and price any token count.
Tokens and context
Roughly how many words, characters and pages a token count is, using the vendors' own rules of thumb.
Estimated token count for a word or character count, on OpenAI's and Anthropic's rules of thumb.
Whether a document fits a model's context window, how much of it the document uses, and how many chunks it needs otherwise.
Savings
What prompt caching saves on a repeated prefix, including the cache write cost where the vendor charges one.
What moving a workload to the vendor's Batch API saves, for the share of requests that can wait.
Monthly token volume at which renting a GPU and serving an open model costs the same as an API model.
Applications
Monthly cost of a chat assistant where every turn re-sends the conversation so far.
Monthly cost of a retrieval-augmented answer flow: query embedding, retrieved chunks in the prompt, and the generated answer.
Cost of an agent loop where each step re-reads the growing transcript: steps, tool results and output per step.
AI cost per active user a month, gross margin at your price, and the break-even price for an AI feature.
One-time and monthly cost of embedding a document set, by model.
Training cost of a supervised fine-tune from examples, tokens per example and epochs, on OpenAI's published training prices.
Voice, image and video
Monthly cost of text to speech by characters: per-character APIs side by side with the ElevenLabs plan that covers the volume.
Monthly transcription cost by audio minutes, with every listed API priced for comparison.
Monthly cost of generated images by model and output size.
Monthly cost of generated video by minutes: per-second video APIs against the Synthesia plan that covers the minutes.
How it works
Prices are data, not prose.
A calculator is only as good as its rate table. Here is how this one stays honest.
01
Read from the source
Every price was read from the vendor's own pricing page, by a person, on 2026-10-20. The URL and the date sit under every result.
02
Watched daily
A job checks each vendor page once a day. When the page text changes, the site reports it and the table is re-verified by hand. No scraper edits a price.
03
Runs in your browser
The arithmetic is a small open function that runs on your device. Inputs never reach a server; the only thing sent is an anonymous page count.
Pro
Free to calculate.
Nine dollars to keep.
Every tool is free with no account. Pro adds saved scenarios, CSV and JSON export, the side by side model comparison and no advertising. Billed by Polar, cancel any time.
Questions
Before you trust a number.
Where do the prices come from?
Are tokens counted exactly?
Do you store what I type?
Is this advice?
Ask a question
Most questions are answered right away from the product docs. Anything else reaches a person by email.