If you run a lean team and you want to ship more content, more code and more automations without hiring a single extra person, sakana fugu ai is the most interesting thing to land this year.
Here is the business case in one line: it is multi-agent orchestration through a single API, it costs roughly a quarter of what Fusion charges, and it lets a small team punch like a big one.
That is the whole game in an agency.
Below I will show you exactly what it is, why it matters for your bottom line, and how we actually wire it into our workflow.
The business problem Sakana Fugu actually solves
Most agencies are stuck choosing between two bad options.
Option one is you bet on a single model, you wire it into everything, and the day it falls behind you are rebuilding your whole stack.
Option two is you sign up to five different model providers, manage five API keys, five billing accounts and five sets of rate limits, and you burn a developer’s week just keeping the plumbing alive.
Neither of those makes you money.
Both of them cost you the one thing an agency cannot get back — time.
Sakana Fugu collapses that whole problem into one API call.
You send a prompt, a panel of models competes on it, a judge picks and synthesises the best answer, and you get one clean result back.
You do not pick the model. You do not manage the delegation. You do not sign up to each provider.
For a 70-person team where AI already runs a large share of operations, that is not a nice-to-have — that is leverage.
Want us to map this into your business? Book a free AI SEO strategy session and we will show you where multi-agent tooling like Sakana Fugu fits your content and link-building workflow: https://go.juliangoldie.com/strategy-session
What Sakana Fugu AI is, in plain English
Sakana is a Japanese AI lab.
Sakana Fugu is a full multi-agent orchestration system delivered through a single model API.
The clever bit is the panel.
Instead of one model answering, multiple models — closed and open — compete head-on on the same prompt.
A judge then synthesises one answer from the field, the same way Fusion does.
It auto-handles model selection and delegation for you.
You use one API and you never sign up to the individual models underneath.
One thing to be clear about — this is one-shot, not a back-and-forth chat.
You send the prompt, the panel runs, you wait, and you get the result.
It is not a conversational CLI you nudge turn by turn like a Claude session.
For agency work that is mostly a feature, because most production tasks are “do this well, once” rather than “let’s chat about it”.
Fugu and Fugu Ultra: the two tiers
There are two tiers, and the difference matters for how you spend.
Fugu is the low-latency tier — fast, cheap, and a great fit for coding tools like Codex and for customer-facing surfaces.
Fugu Ultra is the flagship — maximum answer quality on hard, multi-step problems like AI research, and it is pricier.
The rule we use is simple: speed and volume go to Fugu, hard thinking goes to Fugu Ultra.
| Fugu | Fugu Ultra | |
|---|---|---|
| Built for | Low latency, speed | Maximum answer quality |
| Best for | Coding tools (Codex), customer-facing chat | Hard multi-step problems, AI research |
| Cost | Lower | Pricier |
| Agency use | High-volume content and code loops | Strategy, complex audits, research |
The numbers: how Sakana Fugu performs
You should never take a vendor’s word on performance, so here are the benchmarks as published.
On Terminal Bench, Fable 5 scored 80.4, Fugu scored 80.2, and Fugu Ultra scored 82.1.
On SW Bench Pro, Fable 5 clearly beats both Fugus — that gap is real and worth knowing.
On Live Code Bench, Fugu Ultra came in around 93.2.
The honest summary is that Fugu is mostly even with or slightly beats Fable 5, except on SW Bench Pro where it does not.
Sakana also claims it matches Fable and Mythos.
Hands-on, I had it build a polished website, a maze game, a spiral galaxy simulation and an orbit simulation.
Against GLM 5.2, Opus 4.8 and Fusion, the Fugu outputs simply looked nicer and more interesting.
One honesty beat before you get excited: beware self-scored benchmarks. The “Le Chaton Fat” hoax went viral precisely because people trusted a number instead of testing it. Run Fugu on your own real tasks before you believe any leaderboard.
The money math every agency owner should run
Here is where it gets interesting for the people signing the invoices.
Fusion, via OpenRouter, is pay-per-usage and it is pricier.
Sakana Fugu costs roughly 25% of Fusion’s price for the same prompts.
Read that again — same prompts, about a quarter of the cost.
On top of that, Sakana offers a flat-rate subscription.
If you run high-volume agent loops — and any serious content or link-building operation does — a flat rate is the difference between a predictable line item and a terrifying variable bill.
That is the part that actually changes how you can scale.
When your AI cost is flat and your output is uncapped, you stop rationing agents and you start running them like a workforce.
You access it at sakana.ai, where you will find the two APIs and a technical report.
Two caveats before you build it into anything client-facing.
It was not available in the EU or UK at launch because of GDPR, so check current availability first.
And because it is one-shot, you design around clean single prompts, not chatty loops.
How our agency actually uses Sakana Fugu
Theory is cheap, so here is the practical part.
Goldie Agency is a 7-figure SEO and link-building agency with a 70-plus person team, and AI already handles a large share of how we operate.
The reason a lean team can punch above its weight is tooling exactly like this.
I built Sakana into my Agent OS within about an hour of launch — that is how fast this slots into a real workflow.
Content at the speed of Fugu
For content, we point the high-volume work at the fast Fugu tier.
Briefs, outlines, first drafts, internal-link suggestions, meta descriptions — the stuff you do hundreds of times a week.
Because one API quietly runs a panel behind the scenes, the floor on quality is higher than betting on any single model.
You are not gambling that today’s chosen model is having a good day.
Code and automations with Fugu and Fugu Ultra
For code, the split is clean.
Fast iteration and tool calls inside coding workflows go to Fugu, which is built to sit inside tools like Codex.
The genuinely hard, multi-step engineering and research problems go to Fugu Ultra.
The same logic runs our automations — routine glue tasks on Fugu, the gnarly reasoning steps on Fugu Ultra.
One API key, one bill, two gears.
Where the leverage actually shows up
The point is not “we use a fancy model”.
The point is that a 70-person team running flat-rate multi-agent loops produces like a team several times that size.
That is the entire thesis of a modern agency: tools turn headcount into output you do not have to hire for.
| Agency job | Tier we point it at | Why |
|---|---|---|
| Bulk content drafts | Fugu | Speed and volume, low cost |
| Customer-facing chat | Fugu | Low latency |
| Coding tool loops | Fugu | Fits Codex-style tools |
| Complex SEO audits | Fugu Ultra | Hard multi-step reasoning |
| Research and strategy | Fugu Ultra | Maximum answer quality |
Want the actual Agent OS with Sakana wired in, plus the systems we run it on? It lives inside the AI Profit Boardroom: https://www.skool.com/ai-profit-lab-7462/about
Should your agency adopt Sakana Fugu right now?
Here is my straight answer.
If you are outside the EU and UK, run high volume, and want predictable costs, it is an easy yes to test.
If you are GDPR-bound, wait for availability and keep your current stack — do not break compliance to chase a benchmark.
Either way, the move is the same: test it on your own real tasks before you trust a single published number.
Build a small loop, run a week of real work through it, and compare the output and the bill against what you have now.
If the math works the way it worked for us, you will know within days.
Frequently asked questions
What is Sakana Fugu AI?
It is a multi-agent orchestration system from the Japanese AI lab Sakana, delivered through a single model API.
Multiple models compete on your prompt, a judge synthesises one answer, and you never sign up to individual model providers.
What is the difference between Fugu and Fugu Ultra?
Fugu is the low-latency tier built for speed — it fits coding tools like Codex and customer-facing chat.
Fugu Ultra is the flagship built for maximum answer quality on hard, multi-step problems like AI research, and it costs more.
How much does Sakana Fugu cost compared to Fusion?
On the same prompts, Sakana Fugu runs around 25% of Fusion’s pay-per-usage cost.
It also offers a flat-rate subscription, which is what makes high-volume agent loops affordable for an agency.
Can I use Sakana Fugu in the EU or UK?
Not at launch — it was unavailable in the EU and UK due to GDPR.
Check sakana.ai for current availability before you build it into a client workflow.
Should I trust Sakana Fugu’s benchmarks?
Treat self-scored benchmarks with healthy scepticism — the Le Chaton Fat hoax went viral for a reason.
Run Fugu on your own real tasks before you trust any leaderboard.
Also on our network
- Sakana Fugu AI on juliangoldie.com
- Sakana Fugu AI on juliangoldie.co.uk
- Sakana Fugu AI on goldstarlinks.com
About Julian
I am Julian Goldie, founder of Goldie Agency, a 7-figure SEO and link-building agency with a 70-plus person team.
I spend my days finding the AI tooling that lets a lean team out-produce companies many times its size, then wiring it into real, money-making workflows.
When something like Sakana Fugu lands, I build it, test it on real work, and report back what actually moved the needle — not the hype.
Want the AI systems without the agency price tag? Grab the FREE AI Money Lab — a free AI course, community and a thousand AI agents to get you started: https://www.skool.com/ai-seo-with-julian-goldie-1553/about
The bottom line is simple: sakana fugu ai gives a lean agency big-team output through one cheap, flat-rate, multi-agent API — test it on your own tasks and let the results, not the benchmarks, make the call.
📺 Video notes + links to the tools 👉