Fugu Max
Model Overview
Fugu Max is the cost-performance model in Sakana AI's Fugu family. Like Fugu Ultra it is not a monolithic language model but a learned multi-agent orchestration system: a model trained to route tasks across a swappable pool of underlying models and to recursively call instances of itself. It keeps the family's 1M context window and accepts text, image and file inputs, trading some of Ultra's peak reasoning depth for a much lower price per token.
API Schema
Provider routing override. Use a source key such as openai, fallback, xai, google, alibaba, minimax, moonshot, baidu, or togetherai to pin that one provider and use it alone; auto (default) walks the whole chain. Case-insensitive.
autoThe maximum number of tokens that can be generated in the chat completion. This value can be used to control costs for text generated via API.
If set to True, the model response data will be streamed to the client as it is generated using server-sent events.
falseControls which (if any) tool is called by the model. none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool. none is the default when no tools are present. auto is the default if tools are present.
none means the model will not call any tool and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools.
Enable provider compatibility normalization for tool function JSON schemas.
An object specifying the format that the model must output.
Constrains effort on reasoning for reasoning models. Currently supported values are low, medium, and high. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.
Successful response.
A unique identifier for the chat completion.
chatcmpl-CQ9FPg3osank0dx0k46Z53LTqtXMlThe object type.
chat.completionPossible values: The Unix timestamp (in seconds) of when the chat completion was created.
1762343744The model used for the chat completion.
sakana/fugu-maxcurl --request POST \
--url 'https://api.aimlapi.com/v1/chat/completions' \
--header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
--header 'Content-Type: application/json' \
--data '{"model": "sakana/fugu-max", "messages": ["<message>"]}'Successful response.
{
"id": "chatcmpl-CQ9FPg3osank0dx0k46Z53LTqtXMl",
"object": "chat.completion",
"created": 1762343744,
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! I'm just a program, so I don't have feelings, but I'm here and ready to help you. How can I assist you today?",
"refusal": null,
"annotations": null,
"audio": null,
"tool_calls": null
},
"finish_reason": "stop",
"logprobs": null
}
],
"model": "sakana/fugu-max",
"usage": {
"prompt_tokens": 137,
"completion_tokens": 914,
"total_tokens": 1051,
"completion_tokens_details": null,
"prompt_tokens_details": null
},
"meta": {
"usage": {
"credits_used": 120000,
"usd_spent": 0.06
}
}
}Code Example
Last updated
Was this helpful?