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Sakana: Fugu Ultra

sakana/fugu-ultra · SakanaNot yet established
Declared family
Unknown
Entered catalogue
24 June 2026
Last tested
3 September 2026
Measurement
Deferred: spend cap reached mid-measurement
Evidence confidence
Unknown

What we checked

Four different kinds of evidence, and what each one showed
We checkedWhat we foundWhere it came from
How it counts tokensNot measured yetwe measured it
How its API is set upSet up identically to 1 other listing, field for fieldapi_956e60ef
How much it can read and writeReads up to 1,000,000 tokens at once, writes up to 128,000its own listing
Whether it thinks before answeringAlways reasons, and cannot be turned off, at max, xhigh, high, xhigh by defaultits own listing
Who served our requestsSakana AIwe measured it, 3 September 2026

The measured fingerprint

What each test string cost this model, in tokens

We sent Sakana: Fugu Ultra fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.

All 50 rows, 45 excluded as corrupt

English and whitespace

en-prose14
en-longx
spaces-203
spaces-603
tabs-20x
newlines-20x
mixed-ws6

Digits

digits-94
digits-12
digits-30
digits-sep
float-long

CJK

zh-common
zh-long
zh-rare
ja-kana
ja-kanji
ko

Other scripts

ru
ar
he
hi
th
el

Emoji

emoji-basic
emoji-skin
emoji-zwj-family
emoji-zwj-x3
emoji-flags
emoji-prof

Rare Unicode

math
boxdraw
combining
cjk-ext-b
surrogates
zalgo
rtl-mix

Code

py-code
py-indent
json
html
regex
camel
snake

Repetition and encodings

rare-word-x5
repeat-tok
base64
hex
url
uuid

An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 1261 prompt tokens.

Declared record

What the catalogue claims about this model

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

Modalities
text+image->text
Declared tokenizer
Other
Prompt price
$5.00 / M tokens
Completion price
$30.0 / M tokens

Supported parameters

include_reasoningreasoningreasoning_effortstructured_outputstool_choicetoolsweb_search_options

defaults: {"temperature":null,"top_p":null,"top_k":null,"frequency_penalty":null,"presence_penalty":null,"repetition_penalty":null}

Catalogue entry

History

Every observation, kept as taken
  • 24 June 2026Enters the OpenRouter catalogue with no declared family.
  • 3 September 2026Fingerprinted in the YFarmX catalogue sweep · 5 of 50 strings measured clean.