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What is Sakana Fugu Ultra?

Sakana Fugu Ultra is the advanced, performance-focused model in the Sakana Fugu platform, designed to coordinate multiple expert AI agents for difficult and high-stakes work. It is built for users who need stronger results on complex multi-step tasks than a single model or basic AI assistant can usually provide. Through one OpenAI-compatible API, Fugu Ultra dynamically selects and coordinates agents from a powerful model pool while presenting the experience as one model. This allows teams to use multi-agent intelligence without manually building agent workflows, assigning roles, or switching between different providers. Fugu Ultra is optimized for demanding use cases such as software engineering, code review, Kaggle competitions, paper reproduction, cybersecurity analysis, scientific problem solving, literature investigations, patent analysis, and autonomous research. The system is grounded in research-driven orchestration methods, including TRINITY and the Conductor, which focus on learning how to route tasks, coordinate agents, and create effective collaboration patterns. Compared with the standard Fugu model, Fugu Ultra uses a deeper expert pool to prioritize quality on harder problems. It is designed for workloads where precision, reasoning depth, completeness, and reliability are more important than low latency alone. Organizations can opt out of specific models or providers in the agent pool to meet data, privacy, compliance, procurement, or internal governance requirements. Fugu Ultra also includes fixed pay-as-you-go pricing for input, output, and cached input tokens, with higher rates for very long context usage. Sakana Fugu Ultra helps technical teams plug advanced multi-agent orchestration into existing workflows while reducing single-vendor dependency and improving performance on challenging AI tasks.

What is Fugue?

The Fugue Platform provides teams with vital resources to design, execute, and maintain cloud security during every stage of the development lifecycle. Our confidence in Fugue's immediate advantages leads us to offer a satisfaction guarantee. By incorporating the open-source Open Policy Agent (OPA) standard, Fugue embeds policy as code for both Infrastructure as Code (IaC) and cloud architecture. Regula, an open-source tool powered by OPA, allows for effortless integration of IaC checks into your git workflows and CI/CD pipelines. With Rego, the accessible yet powerful open-source language of OPA, you can develop customized rules that include checks across multiple resources. You can oversee your IaC security for cloud assets, Kubernetes, and containers from a unified platform, ensuring consistent policy enforcement throughout the development lifecycle. Evaluate the results of security and compliance assessments on IaC across your entire organization while gaining the ability to generate and export detailed tenant-wide reports focused on IaC security and compliance. This efficient method not only bolsters security but also streamlines compliance processes for teams, fostering a collaborative environment where security and development can thrive together. Ultimately, this integration promotes a culture of security awareness and efficiency across the entire organization.

Media

Media

Integrations Supported

Claude Code
Fugu-Ultra v1.1
OpenRouter
Sakana Fugu
Vercel AI Gateway

Integrations Supported

Snyk
Union Pandera

API Availability

Has API

API Availability

Pricing Information

$20 per month

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Sakana AI

Date Founded

2023

Company Location

Japan

Company Website

sakana.ai/fugu/

Company Facts

Organization Name

Fugue

Company Location

United States

Company Website

www.fugue.co

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

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