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Fugu Ultra
Fugu Ultra API orchestrates a deep pool of specialized AI agents to tackle complex, multi-step tasks — delivering superior results on coding, research, cybersecurity, and competitive ML challenges.
Fugu Ultra delivers frontier-level performance through learned multi-agent orchestration, combining dynamic agent coordination with superior reasoning, coding, and research capabilities.
## What is Fugu Ultra API?
Fugu Ultra is the higher-performance model in Sakana AI's Fugu family, released on June 15, 2026. Unlike a standard monolithic language model, it is a learned multi-agent orchestration system trained to dynamically route tasks across a swappable pool of underlying models and recursively coordinate instances of itself.
Fugu Ultra is grounded in two ICLR 2026 papers — TRINITY and Conductor — which show how a system can learn to assemble, route, and coordinate expert agents for each task without relying on hand-designed workflows.
## Where to Use Fugu Ultra
### Complex coding and code review
Fugu Ultra coordinates expert agents to catch bugs other models miss. Users report it surfaces 20+ issues where other tools find only 3, making it the go-to model for thorough code review.
### Research and paper reproduction
From a single instruction, Fugu Ultra autonomously reads a paper, implements it, runs training, evaluates results, and analyzes gaps — for hours, without supervision.
### Cybersecurity analysis
Given a scoped instruction, Fugu Ultra drives a full security assessment end-to-end: recon, XSS/SQLi checks, auth review, and a structured report with evidence and retest steps — staying in scope throughout.
### Competitive ML and Kaggle
Fugu Ultra runs hundreds of experiments autonomously, adapting hyperparameters and training recipes to find the best result, outperforming frontier models on ML research benchmarks.
### Patent and literature investigation
Mapping 20+ papers and patents — normally 3–4 days of work — can be completed in hours, including connections between papers a human researcher might miss.
## Fugu Ultra vs. the Alternatives
- **Fugu Ultra:** Maximum answer quality for hard, high-stakes tasks. Coordinates the deepest pool of expert agents. Best when accuracy and depth matter more than speed.
- **Fugu (standard):** Balances strong performance with low latency. Ideal for everyday coding, interactive chat, and code review where response speed matters.
- **Single frontier models:** Fugu Ultra matches or exceeds GPT-5.5, Opus 4.8, and Gemini 3.1 Pro across coding, reasoning, and scientific benchmarks — without single-vendor dependency.
## What is Fugu Ultra API?
Fugu Ultra is the higher-performance model in Sakana AI's Fugu family, released on June 15, 2026. Unlike a standard monolithic language model, it is a learned multi-agent orchestration system trained to dynamically route tasks across a swappable pool of underlying models and recursively coordinate instances of itself.
Fugu Ultra is grounded in two ICLR 2026 papers — TRINITY and Conductor — which show how a system can learn to assemble, route, and coordinate expert agents for each task without relying on hand-designed workflows.
## Where to Use Fugu Ultra
### Complex coding and code review
Fugu Ultra coordinates expert agents to catch bugs other models miss. Users report it surfaces 20+ issues where other tools find only 3, making it the go-to model for thorough code review.
### Research and paper reproduction
From a single instruction, Fugu Ultra autonomously reads a paper, implements it, runs training, evaluates results, and analyzes gaps — for hours, without supervision.
### Cybersecurity analysis
Given a scoped instruction, Fugu Ultra drives a full security assessment end-to-end: recon, XSS/SQLi checks, auth review, and a structured report with evidence and retest steps — staying in scope throughout.
### Competitive ML and Kaggle
Fugu Ultra runs hundreds of experiments autonomously, adapting hyperparameters and training recipes to find the best result, outperforming frontier models on ML research benchmarks.
### Patent and literature investigation
Mapping 20+ papers and patents — normally 3–4 days of work — can be completed in hours, including connections between papers a human researcher might miss.
## Fugu Ultra vs. the Alternatives
- **Fugu Ultra:** Maximum answer quality for hard, high-stakes tasks. Coordinates the deepest pool of expert agents. Best when accuracy and depth matter more than speed.
- **Fugu (standard):** Balances strong performance with low latency. Ideal for everyday coding, interactive chat, and code review where response speed matters.
- **Single frontier models:** Fugu Ultra matches or exceeds GPT-5.5, Opus 4.8, and Gemini 3.1 Pro across coding, reasoning, and scientific benchmarks — without single-vendor dependency.
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