Models Model details

Sakana

Sakana: Fugu Ultra v2

sakana/fugu-ultra-v2

Fugu Ultra v2 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 tasks across a fixed pool of open and specialized models and to recursively call instances of itself. Fugu Ultra v2 prioritizes answer quality on complex multi-step reasoning, autonomous research, and full-stack software development, and does not rely on individual proprietary frontier models in its pool. It supports configurable reasoning effort (high, xhigh, max), function calling, structured outputs, image and PDF input, and built-in web search. Prompts above 272K tokens are billed at a higher rate. Orchestration tokens consumed by the system are billed as standard input/output tokens.

Input
$5

/ 1M tokens

Output
$30

/ 1M tokens

Context window
1M

tokens

Limits

Context

1,000,000

tokens

Max output

128,000

13% of the context window

Model facts

Author

Sakana

Tokenizer

Other

Modality

Text + Image + File -> Text

Knowledge cutoff

2026-08-28

Created

Sep 11, 2026

Reasoning

RequiredDefault XhighMaxXhighHigh

Publication status

Hugging Face: not mappedLicense: not publishedParameter count: not published

Modalities

Input · TextInput · ImageInput · FileOutput · Text

Generation controls

Include reasoningReasoningReasoning effortStructured outputsTool choiceToolsWeb search options