Multi-agent conductor that orchestrates frontier expert models for hard reasoning, coding, and research, with 1M context, image input, and web search.
Sakana AIText Generation1M contextReleased Jun 21, 2026Proprietary EndpointNewMulti-agent conductor that orchestrates frontier expert models for hard reasoning, coding, and research, with 1M context, image input, and web search.
Supports text and image input, a 1M token context, function calling, JSON mode structured output, and built-in web search. Reasoning is always on with effort levels high, xhigh, and max (xhigh and max apply the most effort). Web search has no separate fee; its cost is reflected in the orchestration tokens the conductor reports in usage. Orchestration tokens are billed at the same input and output rates as your prompt and final answer, so even short requests include orchestration cost.
Also known as Sakana AI Fugu Ultra, Fugu-Ultra
fugu-ultraPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Fugu Ultra serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id fugu-ultra. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "fugu-ultra",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="fugu-ultra",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the Fugu Ultra API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| max_tokens | integer | 32768 | 1 to 131072 | Maximum number of output tokens for the final answer. The conductor needs room to work, so very small values can return empty output. |
| reasoning_effort | enum | high | high, xhigh, max | How hard Fugu Ultra reasons. Reasoning is always on. The default is high; xhigh and max are aliases of the same maximum effort (more thorough and slower than high). |
| tool_web_search | boolean | false | - | Enable built-in web search. There is no separate fee; the search cost is reflected in the orchestration tokens billed for the request. |
| tools | array | [] | - | OpenAI-compatible function calling tool definitions. |
| tool_choice | object | - | - | OpenAI-compatible tool choice control. |
| response_format | object | - | - | OpenAI-compatible JSON mode for structured output. |
Fugu Ultra is a multi-agent conductor: each request coordinates a pool of expert models and composes their work into a single answer.
On EmpirioLabs, Fugu Ultra is billed pay as you go: Input <=272K $7.50; >272K $15.00 per 1M prompt tokens; Output <=272K $45.00; >272K $67.50 per 1M generated tokens; Implicit cache read <=272K $1.50; >272K $3.00 per 1M cached input tokens. The live rate card on this page always matches what the API charges.
Fugu Ultra supports a 1M-token context window with up to 131,072 output tokens per response.
Yes. Fugu Ultra serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to fugu-ultra.
Yes. The EmpirioLabs playground runs Fugu Ultra in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Check out our pricing or reach out if you want your own model deployed on our stack.
