Updated multi-agent conductor for hard reasoning, coding, and research, with distinct max effort, 1M context, image input, and web search.
Sakana AIText Generation1M contextReleased Jul 23, 2026Proprietary EndpointNewUpdated multi-agent conductor for hard reasoning, coding, and research, with distinct max effort, 1M context, image input, and web search.
Supports text and image input, a 1M token context, function calling, strict JSON Schema structured output, and built-in web search. Reasoning is always on with high, xhigh, and a distinct max effort. Web search has no separate fee. Full orchestration token usage is billed at the displayed input, output, and cache rates.
Also known as Fugu Ultra, Sakana AI Fugu Ultra v1.1, Fugu-Ultra-v1.1, fugu-ultra-v1-1
fugu-ultra-v1-1/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1beta/models/fugu-ultra-v1-1:generateContentfugu-ultra-v1.1sakana/fugu-ultra-v1-1sakana/fugu-ultra-v1.1Live pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Fugu Ultra v1.1 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-v1-1. 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-v1-1",
"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-v1-1",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the Fugu Ultra v1.1 API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| max_tokens | integer | 32768 | 16 to 131072 | Maximum number of output tokens for the final answer. Must be at least 16. The conductor needs room to work, so very small values can truncate or empty the answer. |
| reasoning_effort | enum | high | high, xhigh, max | How hard Fugu Ultra v1.1 reasons. Reasoning is always on. high balances speed and performance, xhigh provides deep reasoning for complex problems, and max is the... |
| 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 | enum | - | - | Return structured JSON output. JSON mode returns any valid JSON object; JSON Schema mode enforces the exact schema you provide. |
Fugu Ultra v1.1 is an updated multi-agent conductor: each request coordinates a pool of expert models and composes their work into a single answer.
On EmpirioLabs, Fugu Ultra v1.1 is billed pay as you go. The live rate card on this page always matches what the API charges.
Fugu Ultra v1.1 supports a 1M-token context window with up to 131,072 output tokens per response.
Yes. Fugu Ultra v1.1 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-v1-1.
Yes. The EmpirioLabs playground runs Fugu Ultra v1.1 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.
