Fugu Max API

About Fugu Max

Cost-efficient multi-agent conductor that assembles a right-sized expert team per task, with 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 effort levels high and xhigh; max is accepted as an alias of xhigh. One flat token rate at every context length. Built-in web search and page fetch bill per executed call. Full orchestration token usage is billed at the displayed input, output, and cache rates.

Also known as Sakana AI Fugu Max

Fugu Max specs

Model ID

fugu-max

Author

Sakana AI

Category

Text Generation

Released

Sep 10, 2026

Context window

1M tokens

Max output

131,072 tokens

Input

TextImage

Output

Text

Structured output

JSON Schema

Endpoints

POST/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1beta/models/fugu-max:generateContent

Alternate model IDs

fugu-max-v1.0sakana/fugu-maxsakana/fugu-max-v1.0

Fugu Max API pricing

Live pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.

How to call the Fugu Max API

Fugu Max 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-max. 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-max",
    "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-max",
    messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)

Fugu Max API parameters

Request parameters supported by the Fugu Max API on EmpirioLabs. Defaults apply when a field is omitted.

Good to know

Fugu Max is the cost-efficient multi-agent conductor: each request assembles a right-sized team of expert models for the task and composes their work into a single answer.

Latency and streaming

• Simple prompts usually return in a few seconds, and heavier prompts take longer while the conductor works.
• The full answer is returned all at once when the model finishes, not token by token. Streaming is accepted, but it delivers the complete response at the end rather than streaming tokens as they generate.
• max_tokens must be at least 16. Leave generous headroom, since very small limits can truncate or empty the answer.

Capabilities

• Text and image input, with a 1M token context.
• Always-on reasoning. high is the default, xhigh raises the effort, and max is accepted as an alias of xhigh.
• Function calling, strict JSON Schema structured output, and built-in web search that cites its sources when available.

Billing

• Billed on full token usage, including the orchestration tokens the model uses internally, so even short prompts carry some cost.
• One flat token rate at every context length, with no higher rate for long prompts.
• Built-in web search and page fetch are billed per executed call at the rates shown, and a single request can run more than one call.

Per-tool billing (usage.tool_usage)

When this model invokes tools (web search, code interpreter, etc.) inside a single request, the response carries a normalized usage.tool_usage map alongside the token counts. The example below shows the shape, exact field names, units, and which tools appear can vary slightly per provider:

"usage": {
  "prompt_tokens": 123,
  "completion_tokens": 456,
  "cost_usd": 0.0042,
  "tool_usage": {"web_search": 3, "code_interpreter": 1}
}

The tool counts are already factored into cost_usd, they are surfaced for transparency so you can audit per-tool billing. The field is omitted when no tools were invoked.

Fugu Max API: common questions

How much does the Fugu Max API cost?

On EmpirioLabs, Fugu Max is billed pay as you go: Input $2.00 per 1M prompt tokens; Output $6.00 per 1M generated tokens; Implicit cache read $0.25 per 1M cached input tokens. The live rate card on this page always matches what the API charges.

What is the context window of Fugu Max?

Fugu Max supports a 1M-token context window with up to 131,072 output tokens per response.

Is the Fugu Max API OpenAI-compatible?

Yes. Fugu Max 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-max.

Can I try Fugu Max in the browser before integrating?

Yes. The EmpirioLabs playground runs Fugu Max in the browser with the same parameters the API exposes, so you can test prompts before writing code.

How do I get a Fugu Max API key?

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.