LLM Reference

Fugu Models by Sakana AI

Sakana AIProprietary
2 models2026Up to 1m ctxFrom $5/1M input

Details

ResearcherSakana AI
LicenseProprietary
Commercial useCommercial use: conditional
Models2
Released2026
Max context1m

Capabilities

VisionAll models
MultimodalAll models
ReasoningAll models
Function CallingAll models
Tool UseAll models
Structured OutputsAll models

Links

Website

About

Fugu is Sakana AI's proprietary multi-agent orchestration system that behaves as a single API endpoint. It uses a trained coordinator/conductor model (based on TRINITY and Conductor architectures from ICLR 2026) to dynamically assign Thinker, Worker, and Verifier roles across a pool of frontier LLMs. Available via OpenAI-compatible API at api.sakana.ai. Not available in EU/EEA.

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view
FuguCurrent

Use when the workload needs 1m context, reasoning, and tool use.

2026-061m contextreasoningtool use
Fugu UltraCurrent

Use when the workload needs 1m context, reasoning, and tool use.

2026-061m contextreasoningtool use

Release Timeline

1 release group
2026-06
2 current
Fugu
1m contextreasoningtool use
Current
Fugu Ultra
1m contextreasoningtool use
Current

Specifications(2 models)

Fugu model specifications comparison
ModelReleasedContextVisionMultimodalReasoningFn CallingTool UseStructured Outputs
Fugu2026-061mYesYesYesYesYesYes
Fugu Ultra2026-061mYesYesYesYesYesYes

Available From(2 providers)

Pricing

Fugu model pricing by provider
ModelProviderInput / 1MOutput / 1MType
Fugu UltraSakana AI$5$30Serverless
Fugu UltraVercel AI Gateway$5$30Serverless

Frequently Asked Questions

What is Fugu used for?
Fugu is used for vision and multimodal work, reasoning, and agent workflows and tool use. The family description and listed model capabilities point to those workloads as the best fit.
How does Fugu compare to EvoLLM?
Fugu by Sakana AI is strongest where you need vision and multimodal work, while EvoLLM by Sakana AI is the closest related family to check for adjacent model selection. Fugu has 2 listed variants and reaches up to 1m context, while EvoLLM reaches up to 32k context, so compare the specs and pricing tables before choosing a production model.
Which Fugu model should I use?
For the lowest listed input price, start with Fugu Ultra through Sakana AI at $5/1M input tokens. For the most capable/latest local choice, evaluate Fugu with 1m context and reasoning, tool use, function calling, structured outputs, and multimodal inputs.