Sakana AI model releases

Sakana AI's frontier-class orchestration model: a single ~7B language model trained to coordinate a swappable pool of external frontier LLMs (model selection, delegation, verification, and synthesis happen internally), exposed behind one OpenAI-compatible API. The Ultra tier is tuned for maximum answer quality on hard, multi-step problems and coordinates a deeper, fixed pool of expert agents. Sakana reports it stands shoulder-to-shoulder with Anthropic's Fable 5 and Mythos Preview across coding, science, and reasoning benchmarks while routing around single-vendor/export-control risk. Current model ID fugu-ultra-20260615; vendor-reported scores include 95.5 GPQA-D, 73.7 SWE-Bench Pro, 93.2 LiveCodeBench, and 50.0 Humanity's Last Exam.

Sakana AI's orchestration model: a single language model that delivers a full multi-agent system behind one OpenAI-compatible API, dynamically routing tasks across a swappable pool of frontier LLMs (including recursive calls to itself). The base tier balances strong performance with low latency as an everyday default for coding, code review, and chat, and lets teams opt specific agents out of the pool for data/privacy/compliance needs. Released alongside Fugu Ultra on June 22, 2026; vendor-reported scores include 95.5 GPQA-D, 92.9 LiveCodeBench, and category-leading SciCode and long-context results.