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Sakana: Fugu Max API Pricing

Sakana: Fugu Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens (cache reads: $0.250). Context window: 1M. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Sakana: Sakana Namazu
$0.950 in / $4.00 out

Cheapest sakana model — 43% less per month

Price history
2026-09-11 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$2.00
Output / 1M tokens
$6.00
Context window
1M
Max output
128K

Token economics

Token typePricevs base input
Standard input$2.00—
Cache read$0.250−88%
Output$6.00—
Web search tool$10/1k searches—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)
Effort levels:maxxhighhigh

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Sakana: Fugu Max cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$40.00
Coding agent5,0008,000 / 2,000$140.00
RAG pipeline30,0004,000 / 500$330.00
Doc summarizer2,00020,000 / 1,000$92.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Sakana: Fugu Max

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...

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Frequently asked questions

How much does Sakana: Fugu Max cost?

Sakana: Fugu Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens; cached input tokens cost $0.250 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1M tokens, with up to 128K output tokens per response. That's roughly 1250 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.250/1M, about 88% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources