Sakana AI API
Access Sakana AI instantly with Puter.js, and add AI to any app in a few lines of code without backend or API keys.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain AI like I'm five!", {
model: "sakana/fugu-ultra"
}).then(response => {
console.log(response);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain AI like I'm five!", {
model: "sakana/fugu-ultra"
}).then(response => {
console.log(response);
});
</script>
</body>
</html>
List of Sakana AI Models
Fugu Max
sakana/fugu-max
Fugu Max is a cost-optimized orchestration model from Tokyo-based Sakana AI, the more affordable sibling to Fugu Ultra v2 in Sakana's Fugu product line. Rather than being one model, it routes each request across the largest pool of open-weight and specialized models Sakana has assembled, including NVIDIA's Nemotron family, under the same TRINITY-based Thinker/Worker/Verifier coordination as Fugu Ultra. Sakana reports Fugu Max takes the best overall score on six benchmarks, including Terminal Bench 2.1, GPQA Diamond, AA-LCR, GDP.pdf, AutomationBench, and its internal SWEFish coding benchmark, and that it extends the cost-performance frontier on seven of ten benchmarks tested. Output pricing is reported as 40-60% lower than Sonnet 5, GPT 5.6 Terra, and Kimi K3. It targets high-volume workloads like coding, document extraction, and multi-step automation where cost per task matters, leaving harder reasoning work to the pricier Fugu Ultra v2.
ChatFugu Ultra v2
sakana/fugu-ultra-v2
Fugu Ultra v2 is Sakana AI's second-generation orchestration model, succeeding the original Fugu Ultra. Rather than a single model, it routes each request across a pool of specialist agents, assigning Thinker, Worker, and Verifier roles behind one OpenAI-compatible endpoint. The approach builds on Sakana's TRINITY and Conductor research from ICLR 2026. Sakana reports v2 reaches its scores without Fable 5, Fable 5.1, or GPT-6-Astra in its agent pool. On Chartography, a visual and structured-data reasoning benchmark, it scores 48.3 versus Opus 5's 27.3 and Fable 5's 29.5. On the DeepSWE software engineering benchmark it scores 74.3. Sakana ranks it best or joint-best on 5 of 8 published benchmarks. Pricing matches the original Fugu Ultra, $5 per million input tokens, $30 per million output tokens, with a 1M token context window. It suits complex multi-step reasoning, coding agents, and document or chart analysis, for teams avoiding dependence on one flagship provider.
ChatSakana Namazu
sakana/sakana-namazu
Sakana Namazu is a Japanese-specialized large language model from Tokyo-based Sakana AI, built on Moonshot AI's Kimi K2.6 and further tuned on Sakana's own data. The tuning targets the nuances of Japanese language and business practice, including keigo honorifics, business customs, and everyday slang that general-purpose models often miss. Sakana AI reports the tuning also improves neutrality and factual accuracy on topics specific to Japan, while keeping reasoning, knowledge, and coding performance in line with the base model. The API is OpenAI-compatible and ships with built-in web search and code execution tools, so it can be dropped into existing agent and chat integrations with minimal changes. Sakana Namazu suits developers building Japanese-language products, such as customer support, business writing, and research or coding agents that need to work naturally in Japanese.
ChatFugu Ultra
sakana/fugu-ultra
Fugu Ultra is a learned multi-agent orchestration system from Tokyo-based Sakana AI that routes tasks across a swappable pool of frontier LLMs behind a single OpenAI-compatible endpoint. Rather than relying on one monolithic model, Fugu Ultra dynamically assigns Thinker, Worker, and Verifier roles to specialist agents, then synthesizes their outputs into a single response. The underlying coordination is grounded in Sakana's TRINITY and Conductor research, published at ICLR 2026. It targets demanding, multi-step problems: complex reasoning, code review, agentic workflows, cybersecurity analysis, and research tasks. On LiveCodeBench it scores 93.2, ahead of several frontier competitors, and it matches leading models on GPQA-Diamond and Humanity's Last Exam. Fugu Ultra is a strong choice for developers who need frontier-level quality on hard tasks without committing to a single model provider.
Frequently Asked Questions
The Sakana AI API gives you access to models for AI chat. Through Puter.js, you can start using Sakana AI models instantly with zero setup or configuration.
Puter.js supports a variety of Sakana AI models, including Fugu Max, Fugu Ultra v2, Sakana Namazu, and more. Find all AI models supported by Puter.js in the AI model list.
With the User-Pays model, users cover their own AI costs through their Puter account. This means you can build apps without worrying about infrastructure expenses.
Puter.js is a JavaScript library that provides access to AI, storage, and other cloud services directly from a single API. It handles authentication, infrastructure, and scaling so you can focus on building your app.
Yes — the Sakana AI API through Puter.js works with any JavaScript framework, Node.js, or plain HTML. Just include the library and start building. See the documentation for more details.