Cost methodology

Sakana Fugu pricing explained

Ultra and Cyber can be estimated from published fixed rates. Fugu cannot be reduced to a made-up average. The useful answer is to calculate what is knowable, expose what is variable, and reconcile estimates against the complete usage object.

1. Start with the published rate table

Model and contextInputOutputCached input
Fugu Ultra, up to 272K context$5.00$30.00$0.50
Fugu Ultra, over 272K context$10.00$45.00$1.00
Fugu Cyber, up to 272K context$6.00$36.00$0.60
Fugu Cyber, over 272K context$12.00$54.00$1.20

Fugu Cyber is available only through pay-as-you-go billing and requires approved access. Ultra is available in pay-as-you-go and the published subscription tiers. The 272K threshold applies to request context, not to your monthly total.

Do not flip the long-context rate just because monthly usage exceeds 272K.

A month containing many short requests can total millions of tokens while every individual request remains below the threshold.

2. Include orchestration tokens in the formula

Sakana AI documents additional token fields for Ultra and Cyber. Orchestration input, cached input, and output are real usage and are billed at the same rate as their category.

Total input = user input + orchestration input

Total output = final output + orchestration output

Total cached input = cached user input + cached orchestration input

Estimated cost = total input / 1M x input rate + total output / 1M x output rate + total cached input / 1M x cached rate

Store the raw values and the rate version used for calculation. That is more useful than storing only one currency number because it lets you recalculate after a pricing change or fix an interpretation error.

3. Worked examples

ScenarioBillable token totalsEstimateWhat it teaches
Small Ultra month1M input, 250K output, 250K cached$12.63A light fixed-rate workload can sit below the $20 entry subscription price
Same visible work with orchestration3M input, 750K output, 750K cached$37.88Ignoring orchestration would understate this example by $25.25
Ultra, output-heavy2M input, 2M output, no cache$70.00Output dominates because its unit rate is six times standard input
Ultra, long context3M input, 500K output, 1M cached$53.50Higher context rates must be applied only to qualifying requests
Cyber, standard context1M input, 250K output, 250K cached$15.15Cyber is 20 percent above Ultra at the same token mix
Cyber, long context3M input, 500K output, 1M cached$64.20Cyber remains pay-as-you-go only, so no subscription comparison applies

These examples are arithmetic demonstrations, not usage forecasts. Multi-agent token volume depends on the task, route, tool activity, and retry behavior.

Enter your own usage in the calculator

4. Why this site does not publish a fake fixed Fugu rate

The official pricing rule for Fugu is route dependent:

  • When one agent is active, you pay that underlying model's standard rate.
  • When multiple agents are active, fees do not stack; billing uses a single rate based on the highest tier model involved.

Without knowing the chosen agents and their applicable rate, one number would create false precision. The practical budget method is to run a controlled sample, export actual Fugu usage and charges, then calculate a distribution such as median, 90th percentile, and worst observed cost per task type.

Averages need context.

A single blended “cost per request” hides whether a cheap routine route and an expensive deep route are being mixed. Track cost by named task class so a changing workload does not silently break the budget.

5. Subscription prices are clear, exact token equivalence is not

PlanPricePublished positioningPublished usage relationship
Standard$20/monthLight daily use, occasional API calls, small experimentsBaseline allowance
Pro$100/monthRegular coding, review, research, and analysis sessions10x Standard usage
Max$200/monthHeavy, long-running workloads20x Standard usage

Every published subscription tier includes Fugu and Fugu Ultra. The public page does not provide one exact token allowance that maps cleanly across all orchestration routes, so a calculator cannot honestly declare a universal subscription break-even point.

A narrow statement is still possible: if your fixed-rate pay-as-you-go estimate is below $20, it is below the entry subscription price. If it is above $20, you still need the console's current allowance and service-priority terms to decide whether the subscription covers your workload.

The official page advertises a free second month for subscriptions started by July 31, 2026. This is a temporary offer, not a permanent price assumption.

6. Reconcile estimates against actual usage

  1. Save the raw response usage object with a request correlation ID.
  2. Separate standard-context and long-context requests before aggregating.
  3. Add user and orchestration token fields by category.
  4. Apply the published model and context rates for the request date.
  5. Compare the estimate with console charges and investigate differences rather than hiding them.

If external pricing data cannot be fetched, keep the last verified rate with its date, label the estimate as potentially stale, and link users to the official console. Silent fallback to invented values is worse than a visible limitation.

7. Common pricing mistakes

Counting only final input and output

This omits orchestration fields and can make a complex run look much cheaper than it was.

Treating monthly tokens as request context

The 272K threshold concerns context length per request, not a monthly sum.

Inventing a Fugu fixed rate

Its billing depends on the routed model or highest participating tier. Use actual samples.

Calling the cheapest subscription the winner

Price alone does not show whether its allowance, priority, or workload fit is sufficient.

Forgetting retries

A failed or disconnected client can trigger additional expensive work if retry behavior is not bounded and observable.

Using a launch campaign forever

The free-second-month offer has an explicit date and must not be built into a long-term cost model.

Primary sources

Rates are time sensitive. Recheck the official console before purchase or production deployment.