Sakana AI's Fugu Ultra v2: When Orchestration Beats a Bigger Model

Sun, 13 Sep 2026 09:00:00 +0530

For a decade the AI industry has raced along one axis: make the model bigger. Sakana AI’s latest release argues the axis that actually matters is two-dimensional, capability against cost, and that the winning move isn’t a bigger single model at all. Fugu Max and Fugu Ultra v2, shipped this week, are built around a router that decides which of a pool of smaller, cheaper models should handle a given piece of work, and that can call another instance of itself when a task needs breaking down further. The headline result: Fugu Ultra v2 beats Anthropic’s Opus 5 and Fable 5 on a visual reasoning benchmark while including neither of those models, nor GPT-6 Astra, in its own pool. If that holds up, it says something uncomfortable for labs betting everything on scaling one model: a well-trained conductor can out-perform the frontier soloist it’s conducting around.

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Sakana AI's Fugu Ultra v2: When Orchestration Beats a Bigger Model