New Model Available: Fugu Ultra v2

Sakana AI released Fugu Ultra v2, a higher-performance model in its Fugu family that functions as a learned multi-agent orchestration system rather than a single monolithic model. Fugu Ultra v2 routes tasks across a fixed pool of open and specialized models and recursively calls instances of itself, prioritizing answer quality on complex multi-step reasoning, autonomous research, and full-stack software development without relying on individual proprietary frontier models. It supports configurable reasoning effort (high, xhigh, max), function calling, structured outputs, image and PDF input, and built-in web search, with prompts above 272K tokens billed at a higher rate and orchestration tokens billed as standard input/output tokens.

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.