How much does Fugu Max cost?

Fugu Max costs $2.00/M input tokens and $6.00/M output tokens, with separate rates for Cache Read at $0.25/M tokens and Web Search at $10.00/1K calls.

What is the context length of Fugu Max?

Fugu Max has a 1,000,000 token context window. It supports up to 128,000 completion tokens.

Does Fugu Max support tool calling and structured outputs?

Yes. Fugu Max accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Fugu Max support?

Fugu Max accepts text, images, and files such as PDFs as input and returns text.

Which providers serve Fugu Max?

Fugu Max is served by 1 provider on OpenRouter: Sakana.

What other text models does Sakana have?

Fugu Ultra v2, Sakana Namazu, and Fugu Ultra are other text models from Sakana.

When was Fugu Max released?

Fugu Max was released on September 11, 2026.

Sakana: Fugu Max

sakana/fugu-max

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Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route tasks across a fixed pool of open-weights and specialized models, including NVIDIA's Nemotron family, and to recursively call instances of itself.

Fugu Max dynamically selects efficient combinations of expert agents to improve quality and cost together, and is priced flat regardless of context length. It supports configurable reasoning effort (high, xhigh, max), function calling, structured outputs, image and PDF input, and built-in web search and web fetch. Orchestration tokens consumed by the system are billed as standard input/output tokens.

Modalities

In / out price

$2 / $6per 1M

Context

1.0M

Released

Sep 11, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency / throughput


	$2.00	$6.00	$0.25	3.14s	171 tok/s	100.00%

Input $2.00Output $6.00
171 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$1.637/M tokens

Output

$6/M tokens

Fugu Max — Price history

Price history

No effective price data for this selection

		$1.64	$6.00	20.8%	100.0%

Effective in $1.64Effective out $6.00
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

95.45%

Availability over the last 3 days

Last 72 hours

Availability 95.45%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

93.08%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Zed Editor

AI code editor designed for high-performance collaboration

2.29Btokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

269Mtokens

Nous Research API

Nous Research is an AI research team focused on advancing open-source AI.

82.6Mtokens

Vessel

new

63.2Mtokens

Chatbox AI

On-device AI copilot

31.6Mtokens

Rest of OpenRouter

5.15M

Top 5 Apps

277K

Not currently available through EU in-region routing. In-region routing docs

More models from sakana

Fugu Ultra v2

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route tasks across a fixed pool of open and specialized models and to recursively call instances of itself.

Fugu Ultra v2 prioritizes answer quality on complex multi-step reasoning, autonomous research, and full-stack software development, and does not rely on individual proprietary frontier models in its pool. It supports configurable reasoning effort (high, xhigh, max), function calling, structured outputs, image and PDF input, and built-in web search. Prompts above 272K tokens are billed at a higher rate. Orchestration tokens consumed by the system are billed as standard input/output tokens.

Text1M context$5 / $30

Sakana Namazu

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following, business writing, mathematics, coding, research, and multi-step agent workflows.

Sakana AI may use inputs for model training and improvement by default, with an opt-out available in the Sakana Console. Processing entirely within Japan is not guaranteed.

Text262K context$0.95 / $4

Fugu Ultra

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route tasks across a swappable pool of underlying models and to recursively call instances of itself.

Fugu Ultra prioritizes answer quality on complex, multi-step reasoning, coding, and agentic workflows. It supports configurable reasoning effort, tool calling, and built-in web search. Orchestration tokens consumed by the system are billed as standard input/output tokens.

Text1M context$5 / $30

Sakana: Fugu Max

Providers