Sakana AI Launches Fugu Max and Fugu Ultra v2 for Cheaper, Stronger Multi-Agent Orchestration
Sakana AI has released Fugu Max and Fugu Ultra v2, 2 new models in its Sakana Fugu family. Fugu is not a single foundation model. It is a learned orchestrator that routes work across a pool of other models behind 1 API. The new release tunes that architecture for 2 missions. Fugu Max targets the best output per dollar. Fugu Ultra v2 targets the highest capability on hard, multi-step tasks. Is it deployable? Yes, as a hosted API. Both models are live today through Sakana’s OpenAI-compat
Sakana AI has released two new models designed to optimize the tradeoff between capability and cost in AI systems. Rather than using a single large model for all tasks, these models function as orchestrators that route work across a pool of other models through a single API, with one version prioritizing cost efficiency and the other targeting maximum performance on complex tasks. The system was trained using fine-tuning, evolutionary algorithms, and reinforcement learning to determine which model in its pool should handle each type of request. Both models are available today through an API compatible with existing systems, though they are not offered in the EU/EEA and do not offer open weights for self-hosting.
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