Fugu-Ultra v1.1

Fugu-Ultra v1.1

Sakana AI
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About

Factory Router is an automatic model-selection system for autonomous software engineering workflows, designed to deliver frontier performance at lower cost and with higher reliability. Instead of expecting engineers to manually choose the best model for every task, Factory Router automatically selects the right model for each Droid session, drawing from a diverse pool of frontier and efficient models. Simple questions, mechanical refactors, documentation updates, small bug fixes, search-heavy investigations, and other routine work can be handled by efficient models, while harder work that genuinely needs deeper reasoning can stay on frontier models. If the selected model struggles to complete a task, Factory Router can move the session to a more capable model to reliably preserve high-quality outcomes. It also routes across models, providers, and capacity sources when endpoints degrade, rate limits hit, or capacity becomes constrained, helping Droid sessions keep working.

About

Fugu-Ultra v1.1 is Sakana AI’s upgraded multi-agent orchestration model for complex coding, agentic work, and advanced reasoning. Rather than relying on one model, it dynamically coordinates a diverse pool of frontier models, selecting and combining specialized agents for each task while presenting the system through a single model interface. The v1.1 orchestration upgrade incorporates newer frontier models and improves performance across every tracked benchmark, with gains of up to 7.9 points over v1.0 and particularly strong results on ProgramBench and Terminal Bench 2.1. Fugu can now be used directly inside Claude Code through Claude Code-compatible endpoints, bringing a coordinated team of models into familiar terminal workflows for writing, debugging, reviewing, and executing code. A one-command installer configures the integration on Ubuntu and macOS, while manual setup is available for Windows and other environments.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprise engineering teams using AI coding agents that need automatic model routing to balance performance, reliability, governance, and AI infrastructure cost across software development workflows

Audience

Research engineering teams that need multiple frontier models coordinated inside familiar terminal-based coding workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$6 per 1M tokens (input)
$6 per 1M tokens (input), $36 per 1M tokens (output)
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Pros & Cons from Real Users

Pros

  • Fugu-Ultra v1.1 is really interesting from a developer’s point of view because it feels like a different approach from the usual “one giant model does everything” setup. Instead, it acts more like an intelligent orchestration layer that can route work across multiple frontier models and agent patterns. That makes a lot of sense for coding and agentic workflows. Real development tasks are messy, and different parts of the job need different strengths: planning, repo search, debugging, terminal work, reasoning, code generation, and cleanup. I also like that Sakana added a Claude Code-compatible interface. Being able to use Fugu directly inside developer workflows makes it feel much more practical than something you only test in a browser or benchmark page. The benchmark gains are impressive too. If the reported improvements on coding and terminal tasks hold up in real projects, Fugu-Ultra v1.1 could be a strong option for developers building serious coding agents.

Cons

  • The main downside is that orchestration adds complexity. When a system is coordinating multiple models behind the scenes, I want strong transparency, logging, debugging tools, and predictable behavior before I trust it deeply in production. I would also want to test latency and cost carefully. Multi-agent systems can be powerful, but they can also become expensive or slow if they overthink simple tasks.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Factory Router
Founded: 2023
United States
factory.ai/news/factory-router

Company Information

Sakana AI
Founded: 2023
Japan
sakana.ai/fugu-1-1-claude-code-interface/

Alternatives

Alternatives

Claude Fable 5

Claude Fable 5

Anthropic
Claude Mythos 5

Claude Mythos 5

Anthropic
Claude Opus 5

Claude Opus 5

Anthropic
Sakana Fugu

Sakana Fugu

Sakana AI

Categories

Categories

Integrations

Claude Opus 3
Factory
Sakana Fugu
Sakana Fugu Ultra

Integrations

Claude Opus 3
Factory
Sakana Fugu
Sakana Fugu Ultra
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