Question 1

Which tokenizer does Sakana AI use?

Accepted Answer

Sakana AI uses its own tokenizer, which is not publicly available to run in a browser. This counter estimates counts with OpenAI's cl100k_base encoding, which is typically within roughly 10 to 20 percent of the real count for English text.

Question 2

Are these Sakana AI token counts exact or estimated?

Accepted Answer

Estimated. Sakana AI has not released its tokenizer for browser use, so this tool approximates counts with OpenAI's cl100k_base encoding. Estimates are usually close for English text but can drift for code, JSON, and non-English languages. Estimated counts are marked with a tilde (~).

Question 3

How is Sakana AI API cost calculated?

Accepted Answer

Cost equals tokens divided by one million, multiplied by the model's per-million-token rate. Each Sakana AI model has separate input and output rates, and this page shows both: what your text would cost as a prompt (input) and what the same number of tokens would cost as a response (output).

Question 4

Why do token counts matter for Sakana AI API costs?

Accepted Answer

Sakana AI bills API usage per token, not per word or character. A token is roughly 4 characters or about three quarters of a word in English. Knowing the token count of your prompts lets you predict spend, stay inside context windows, and compare Sakana AI models like Fugu Max and Fugu Ultra v2 before you commit.

Model	Tokens	Input Cost	Output Cost
Fugu Max	—	—	—
Fugu Ultra v2	—	—	—

Model	Input /1M	Output /1M	Context
Fugu Max	$2.00	$6.00	1.0M
Fugu Ultra v2	$5.00	$30.00	1.0M

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