@DeRonin_: HOLY SH*T, got released Fable-class model in public from Japan by coding and research benchmarks it's literally equival…

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model-release multi-agent orchestration japan frontier-models sakana-ai open-source

Summary

Sakana AI released Fugu Ultra, a multi-agent orchestration system accessible via a single model API, achieving performance competitive with Fable and Mythos models.

HOLY SH*T, got released Fable-class model in public from Japan by coding and research benchmarks it's literally equivalent to Mythos & Fable 5 in most cases now, you can use it via Codex gonna test it the whole day and share where it dominates https://t.co/85PcU3CLRX
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Cached at: 06/22/26, 09:33 AM

HOLY SH*T, got released Fable-class model in public from Japan

by coding and research benchmarks it’s literally equivalent to Mythos & Fable 5 in most cases

now, you can use it via Codex

gonna test it the whole day and share where it dominates https://t.co/85PcU3CLRX

Sakana AI (@SakanaAILabs): Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/aDEFyySWlS 🐡

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@sashimikun_void: @serenaa_ge Deepswe benchmark pls

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Sakana AI announced Sakana Fugu, a multi-agent orchestration system accessible via a single model API, with the Fugu Ultra model matching frontier performance without export control risks.

Sakana Fugu

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Sakana Fugu dynamically orchestrates a diverse pool of top models to tackle complex, multi-step tasks via a single API, leveraging their ICLR 2026 papers on learned orchestration to achieve frontier-level performance without single-vendor dependency.

@AYi_AInotes: Everyone is raving about Japan's Fugu beating GPT on benchmarks, but I bet 99% of people haven't understood what really makes it mind-blowing. First off, this isn't some giant monolithic model at all—it has only 0.6B parameters and essentially works as an AI project manager. It handles simple tasks on its own, automatically splits complex ones, and selects the most suitable models from a global pool of top-tier models...

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Sakana AI releases Fugu, a multi-agent orchestration system with only 0.6B parameters. By intelligently splitting tasks and coordinating multiple models, it achieves state-of-the-art performance while bypassing traditional parameter scaling. This marks the transition of multi-agent orchestration from a lab curiosity to a practical productivity tool.