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# Fugu Max

> Cost-efficient multi-agent conductor that assembles a right-sized expert team per task, with 1M context, image input, and web search.

![Fugu Max](https://media.empiriolabs.ai/model-logos/fugu-max.png)

[Sakana AI](/providers/sakana) · Text Generation

`POST /v1/chat/completions`

Cost-efficient multi-agent conductor that assembles a right-sized expert team per task, with 1M context, image input, and web search.

## At a glance

| Field               | Value                                                                                                                  |
| ------------------- | ---------------------------------------------------------------------------------------------------------------------- |
| Model id            | `fugu-max`                                                                                                             |
| Model release date  | 2026-09-10                                                                                                             |
| Input modalities    | Text, Image                                                                                                            |
| Output modalities   | Text                                                                                                                   |
| Context window      | 1M                                                                                                                     |
| Weight precision    | -                                                                                                                      |
| Max output tokens   | 131,072                                                                                                                |
| Features            | reasoning, multimodal, web_search, function_calling, agentic_coding, structured_output, cache                          |
| Native inference    | No                                                                                                                     |
| New                 | Yes                                                                                                                    |
| Structured output   | JSON Schema                                                                                                            |
| Supported endpoints | `POST /v1/chat/completions`, `POST /v1/responses`, `POST /v1/messages`, `POST /v1beta/models/fugu-max:generateContent` |
| Alternate model ids | `fugu-max-v1.0`, `sakana/fugu-max`, `sakana/fugu-max-v1.0`                                                             |

## Pricing

| Charge              | Spec                       | Rate    |
| ------------------- | -------------------------- | ------- |
| Input               | per 1M prompt tokens       | \$2.00  |
| Output              | per 1M generated tokens    | \$6.00  |
| Implicit cache read | per 1M cached input tokens | \$0.25  |
| Web search          | per call when invoked      | \$0.007 |
| Web extractor       | per call when invoked      | \$0.007 |

## Example request

```bash
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":"Hello"}]}'
```

## Parameters

| Parameter          | Type    | Required | Default  | Description                                                                                                                                                                              |
| ------------------ | ------- | -------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `max_tokens`       | integer | no       | `32768`  | 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. · Range: 16 – 131072 |
| `reasoning_effort` | enum    | no       | `"high"` | How hard Fugu Max reasons. Reasoning is always on. The default is high; xhigh and max are aliases of the same maximum effort. · Allowed: `high`, `xhigh`, `max`                          |
| `tool_web_search`  | boolean | no       | false    | Enable built-in web search. Adds \$0.007 to the request cost for each invoked call, and a single request can run more than one call. Page fetches are billed at the same rate.           |
| `tools`            | array   | no       | `[]`     | OpenAI-compatible function calling tool definitions.                                                                                                                                     |
| `tool_choice`      | object  | no       | -        | OpenAI-compatible tool choice control.                                                                                                                                                   |
| `response_format`  | enum    | no       | -        | Return structured JSON output. JSON mode returns any valid JSON object; JSON Schema mode enforces the exact schema you provide.                                                          |

## Notes

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:

```json
"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.

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*Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/fugu-max`.