Sakana Fugu: One Model to Command Them All

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Sakana AI Releases ‘Fugu Ultra’ to Match Frontier Performance via Autonomous Model Orchestration.<br>Our Fugu Ultra model stands shoulder-to-shoulder with leading models like Anthropic’s Fable 5 and Mythos Preview across the industry’s most rigorous engineering, scientific, and reasoning benchmarks while delivering frontier capability without the risk of export controls.

（＊日本語は英文の後に）

We are excited to introduce Sakana Fugu , a new product from Sakana AI that delivers a full multi-agent orchestration system as a single foundation model. Fugu dynamically orchestrates the world’s best models to tackle complex, multi-step tasks, accessible through a single model API. The result is multi-agent intelligence delivering the very best frontier-level performance without any single-vendor dependency or the complexity of a traditional multi-agent system.

👉 Sakana Fugu

Sakana Fugu is itself a language model trained to call various LLMs in an agent pool, including instances of itself recursively. Fugu dynamically orchestrates the world’s best models to tackle complex, multi-step tasks. Plug collective intelligence directly into your workflows today with a single API.

Beyond Bigger Models: Orchestration Models are the Next Frontier

For the past few years, progress in AI has been driven largely by brute-force scale: building giant, monolithic models trained on ever-larger amounts of data. But hard, real-world tasks require a multitude of specialized knowledge and skills, far beyond any individual benchmark. Unlocking the very best performance therefore requires collective intelligence: knowing which model to use, delegating tasks such as planning and execution, and combining domain-specific strengths while routing around individual weaknesses.

Since our founding, Sakana AI has been guided by a core conviction: the most powerful AI systems will not be isolated monoliths, but collaborative ecosystems. Evolution innovates under constraints, and the future belongs to systems that explicitly learn how to coordinate collective intelligence.

Today, this orchestration is no longer just a technical optimization; it has become a geopolitical and operational imperative. Recent disruptions in the AI landscape have demonstrated the severe risk of single-vendor dependency. For an organization or a nation, relying on a single company’s APIs for critical infrastructure, finance, or governance is a material vulnerability. This risk is no longer a hypothetical possibility, but a reality. As we have seen recently from export controls imposed on Anthropic’s Fable and Mythos models, access can shift or disappear overnight due to changing regulatory boundaries, export controls, and foreign policies.

Collective intelligence serves as the practical hedge against this concentration of power. Sakana Fugu is powered by models trained to be powerful orchestrators with an underlying pool of entirely swappable agents. If a single provider restricts access, Fugu dynamically routes around the disruption. Over time, Sakana Fugu will naturally grow by incorporating newer, more efficient models, including our own. By orchestrating the world’s models, we are delivering the realistic, resilient blueprint required for AI sovereignty.

What Is Sakana Fugu?

Sakana Fugu is a multi-agent system that behaves like a single model. You send a request to one endpoint, and Fugu decides how to handle it: solving it directly when that is enough, or assembling and coordinating a team of expert models when a task calls for more. It manages model selection, delegation, verification, and synthesis internally, so the complexity of a multi-agent system never reaches your code.

What makes this possible at scale is that Fugu is itself a language model specialized to understand when to delegate, how agents should communicate, and how to combine their work into a single, reliable answer. This approach builds on our research on learned model orchestration, including our recent ICLR 2026 papers Trinity and the Conductor. From the outside, you simply call one model. On the inside, a coordinated system of experts is doing the work.

Fugu and Fugu Ultra

At launch, Sakana Fugu comes in two models, so you can match the system to your workload. Both models can be accessed via a single OpenAI-compatible API.

Fugu balances strong performance with low latency, making it a great default for everyday work. It fits naturally into tools like Codex for coding and code review, as well as chatbots and other interactive services. For teams with data, privacy, or compliance requirements, Fugu also lets you opt specific agents out of its pool.

Fugu Ultra is tuned for maximum answer quality on hard, multi-step problems, coordinating a deeper pool of expert agents when accuracy and depth matter most. Early users have relied on it for demanding work such as AI research, paper reproduction, cybersecurity analysis, and literature and patent...