Sakana Fugu Ultra Pricing Calculator 2026

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Sakana Fugu Ultra Pricing Calculator

Estimate your monthly and annual cost profiles for Sakana Fugu Ultra models. Calculate pricing based on dynamic token volume, API requests, evolutionary training, and SLA support tiers.

🧠 Fugu Ultra 2026
💻 Token Optimizer
⚡ SLA Tier Support
⚙️ Compute Training

Your Monthly Volume

Enter estimates for your expected workload

💻 Token Consumption

Average workload: ~50 Million tokens/month (prompt text & documents)

Average workload: ~20 Million tokens/month (generated responses)


🌐 API Requests & Search Grounding

Total HTTP requests sent to the Sakana Fugu endpoint

Injects real-time 2026 web search grounding into reasoning paths


🧠 Evolutionary Merging & Vision Compute

GPU compute hours utilized for combining specialized custom sub-networks

Visual processing requests (diagrams, documents, image analysis)


⚡ SLA Support Tier & Clusters

Cost Estimation

Annual & Monthly budget breakdown

🐡

Enter your planned token volume, training requirements, and operational parameters, then click Calculate to inspect your custom budget matrix.

Sakana Fugu Ultra Rate Specifications

Comprehensive rate card of computing resources for Sakana Fugu Ultra in 2026.

Resource Type Standard Rate (USD) Unit / Parameters
Input Tokens (Standard)$1.20Per Million Tokens (Up to 128k context)
Input Tokens (Ultra-Long Context)$1.80Per Million Tokens (Over 128k context)
Output Tokens (Standard)$4.00Per Million Tokens (Optimized inference)
Output Tokens (Deep Reasoning)$6.50Per Million Tokens (Tree-of-Thought active)
API Requests Gateway$0.05Per 1,000 requests processed
Real-time Web Grounding Search$10.00Per 1,000 queries matched with search indexes
GPU/TPU Evolutionary Training Node$15.00Per Compute Hour
Multimodal Vision Analysis$5.00Per 1,000 processed high-resolution frames
Business Pro SLA Subscription$120.00Flat Monthly Rate
Enterprise Ultra SLA Subscription$850.00Flat Monthly Rate (Dedicated engineers)
Dedicated TPU Cluster Node$450.00Flat Monthly Add-on (Isolated infrastructure)

Fugu Ultra FAQ

Everything you need to know about understanding, calculating, and optimizing your compute budget.

Sakana Fugu Ultra is a cutting-edge, high-performance artificial intelligence model optimized for complex reasoning, multi-modal vision tasks, and evolutionary model merging. Built in 2026, it offers class-leading intelligence with optimized token usage for enterprise workloads.

Pricing is based on active usage: input and output tokens consumed (measured per million), the volume of API calls, fine-tuning GPU hours (for custom evolutionary training), and additional specialized capabilities like real-time web grounding or dedicated TPU clusters.

The standard rates are $1.20 per million input tokens and $4.00 per million output tokens. For deep reasoning modes or ultra-long context windows, rates may adapt slightly to support the intense search-space compute requirements.

Evolutionary model merging is a signature technology from Sakana AI that automates the combination of multiple specialized neural networks. Computing evolutionary optimization runs requires dedicated training clusters, billed at $15.00 per compute hour.

Yes, we offer three SLA support tiers: 1) Standard Developer (Free, pay-as-you-go), 2) Business Pro ($120/month, includes priority queues and faster token limits), and 3) Enterprise Ultra ($850/month, includes dedicated hardware nodes, custom model deployment, and 24/7 technical assistance).

Real-time web search grounding uses an integrated search engine to inject live 2026 data into the context window, billed at $0.01 per query. This guarantees fresh, factual answers with minimized hallucinations.

For enterprise applications needing sub-millisecond latency and guaranteed throughput, you can provision an isolated hardware node (Dedicated TPU/GPU cluster) for a flat rate of $450.00 per month.

To reduce costs, implement semantic caching to minimize repeated input tokens, trim prompts to omit redundant guidelines, and choose the Standard Developer tier if your workloads do not require strict enterprise SLAs.

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