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.
/ 1M tokens
/ 1M tokens
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