AI-Economy

Sakana AI undercuts AI agent prices by up to 60 percent

3 min read

TL;DR Too Long; Didn’t read

Sakana AI undercuts the prices of Sonnet 5, GPT-5.6 Terra, and Kimi K3 by up to 60 percent with the new model Fugu Max. The system automatically distributes requests to a network of open and specialized models instead of responding itself. The more powerful Fugu Ultra v2 deliberately excludes large provider models to reduce dependencies on individual manufacturers.

A pufferfish labeled Fugu leads a swarm of smaller fish through pipes while larger predatory fish with price tags wait at a toll booth – in the image is the Sakana AI logo. Image generated with GPT Image 2

Key takeaways

  • Fugu Max costs 2 US dollars per million input and 6 US dollars per million output tokens.
  • The orchestration model leads in six benchmarks, including Terminal Bench 2.1 and SWEFish.
  • The more powerful Fugu Ultra v2 deliberately excludes the models Fable 5, Fable 5.1, and GPT-6 Astra from the pool.
  • Both variants run exclusively as a hosted API without their own weights for self-operation.
  • The service is currently not accessible in the EU and the European Economic Area.

The Japanese AI company Sakana AI introduced two new orchestration models, Fugu Max and Fugu Ultra v2, on September 10, 2026, which automatically distribute requests to a network of open and specialized systems. According to Sakana AI, Fugu Max costs up to 60 percent less than comparable offerings from Anthropic, OpenAI, and Moonshot AI. For now, the service remains blocked in the EU and the European Economic Area.

The orchestrator picks the cheapest model for each task

Fugu is not a single language model but an orchestrator: a trained coordinator receives a request, distributes sub-tasks to multiple models, and combines the responses into a result. The technology is based on two methods from Sakana AI’s own research: TRINITY assigns recurring roles such as thinker, executor, and verifier to individual work steps, while another system trained with reinforcement learning called Conductor develops suitable coordination strategies in natural language.

Fugu Max costs 2 US dollars per million input tokens and 6 US dollars per million output tokens and leads the rankings in six benchmarks, including Terminal Bench 2.1, GPQA Diamond, and the agent test SWEFish. One million output tokens correspond to about 750,000 words – roughly equivalent to 1,500 printed book pages. These figures come from Sakana AI and are independently unverified. For the model pool, the company collaborates with Nvidia and incorporates its Nemotron model family. The more powerful Fugu Ultra v2 pursues a different goal: it aims to achieve the highest quality on demanding, multi-step tasks and specifically excludes the models Fable 5, Fable 5.1, and GPT-6 Astra from the pool to reduce dependence on individual providers. Both new variants run exclusively through a hosted, OpenAI-compatible API. Sakana AI does not offer its own model weights for self-hosting. Existing customers are expected to switch with a single line of code change.

Sakana AI frames the pricing as a challenge to market leaders

According to industry outlets such as Yahoo Finance, Sakana AI shifts competition from individual model prices to the economics of orchestration itself with this pricing model. Because Fugu routes tasks to interchangeable, partly open models instead of being tied to a single proprietary system, the company partially decouples itself from the pricing decisions of individual providers.

The move joins a string of price cuts and discount campaigns across the industry. OpenAI cut the prices of its GPT-5.6 models by up to 80 percent over the summer, and Meta opened its own AI agent price war with Muse Spark 1.1. At the same time, IT buyers have already been struggling with an increasingly overwhelming flood of models from major providers – an additional orchestration model like Fugu at least promises to automate model selection under the hood instead of leaving it to customers themselves. It is not yet known whether large providers such as Anthropic or OpenAI feel pressured by cheaper orchestration layers. Public reactions from either company to the Fugu launch are not yet available.

What matters now is whether the orchestration approach establishes itself as an independent business model, or whether large providers simply fold similar routing layers into their own products and make independent middle layers like Fugu unnecessary. It also remains open when, or if, Sakana AI will open the service to customers in the EU and the European Economic Area. The company has not named a date for that.

Frequently asked questions

Can users in Germany or the EU access Fugu Max?

No. Sakana AI currently provides the service exclusively outside the EU and the European Economic Area, and the company does not specify a timeline for an expansion.

How does Fugu differ from a classic AI model like Sonnet 5 or GPT-5.6?

Fugu does not train its own language understanding but learns to distribute tasks to a network of existing models and consolidate their responses. Classic models like Sonnet 5, on the other hand, respond directly to requests with a single trained system.

What do existing customers need to switch to Fugu Max?

Those already using an OpenAI compatible API can switch to Fugu Max by changing a single parameter, according to Sakana AI. No separate integration or own infrastructure is required.

Since when has Sakana AI been developing the Fugu model series?

The first beta version was released in April 2026, with general availability following in June. Fugu Max and Fugu Ultra v2 are thus already the third major expansion within a few months.

What advantages does Fugu Ultra v2 offer over Fugu Max?

Fugu Ultra v2 aims for maximum quality in demanding, multi-stage tasks and achieves top scores in several tests, according to Sakana AI. Unlike Fugu Max, the model pool deliberately excludes certain large provider models.

Sources (4)
  1. Sakana AI – Fugu Max Release (official announcement)
  2. Sakana AI Fugu Technical Report (arXiv)
  3. MarkTechPost: Sakana AI Launches Fugu Max and Fugu Ultra v2
  4. Yahoo Finance: The Orchestration Arbitrage – How Sakana's Fugu Max Rewrites the Pricing War

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