import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "sakana/fugu-ultra-v2", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "sakana/fugu-ultra-v2", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"sakana/fugu-ultra-v2","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
Requests above 272,000 tokens are billed at a higher tier: $13.754 / 1M input, $1.3754 / 1M cached input, $61.893 / 1M output.
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Fugu Ultra v2 This page | Deep reasoning + long-context agents | |||
| Reasoning + agents | ||||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Reasoning + agents |
Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family and the successor to Fugu Ultra. Rather than a monolithic language model, it is a learned multi-agent orchestration system that routes tasks across a swappable pool of underlying models and recursively calls instances of itself.
It adds document (file) input alongside text and images, and reasoning is always on. The 1,000,000-token context window and the orchestration approach carry over unchanged.
Sakana AI.
1,000,000 tokens, with up to 128,000 tokens of output.
Orchestration tokens are billed as standard input and output tokens. Requests above 272,000 tokens move to a higher pricing tier.
It takes image, text and file input and returns text.
Yes. It supports function calling, structured outputs, streaming and web search.
Complex, multi-step work where depth matters more than latency: thorough code review, research and paper reproduction, long-document synthesis, and long-running agentic workflows.
Send a request to the chat completions endpoint with the model id sakana/fugu-ultra-v2. The model also answers to the alias fugu-ultra-v2.
