Media pricing
fal.ai media model pricing
fal.ai media model pricing is built for product teams pricing image, video, audio, and 3D generation workloads before launch. Use it to decide which media model can meet quality needs without making accepted outputs too expensive. Keep the workload assumptions consistent across options, then inspect the cited prices and last-checked dates before committing budget.
Open fal.ai pricing - Compare generation costs →
The decision this page helps you make
Per-output pricing for fal.ai image, video, audio, and 3D models, including what each generation actually costs.
The practical question is which media model can meet quality needs without making accepted outputs too expensive. Use the same workload assumptions for every option so the comparison reflects billing differences instead of different inputs.
Start with these inputs
- Units: Image, megapixel, second, or generation.
- Models: Image, video, audio, 3D generation.
- Output: Per-run and accepted-output cost.
What the result includes
| Area | What ByteCosts shows |
|---|---|
| Units | Image, megapixel, second, or generation |
| Models | Image, video, audio, 3D generation |
| Output | Per-run and accepted-output cost |
How to use the result
- Run a realistic base case and a heavier-usage case before choosing a provider or plan.
- Compare alternatives with identical traffic, token, seat, runtime, and retry assumptions.
- Open the cited provider source before a purchase or production billing decision.
Formula
acceptedOutputCost = listedUnitPrice * billedUnitsPerAttempt * attemptsPerAcceptedOutput. The billed unit may be an image, megapixel, video second, audio second, or another provider-defined unit.
Assumptions
- Visible prices come from committed fal.ai pricing records and preserve the provider's billing unit.
- Retries and rejected outputs are user-entered product assumptions, not provider facts.
- Resolution, duration, model version, and optional features can change the billed unit.
- The estimate excludes taxes, negotiated rates, and downstream storage or delivery cost.
Example scenario
Choose a model and its real billing unit, then multiply the listed per-attempt price by the number of attempts normally required to get one usable output. For video, include the requested duration when the provider bills per second.
How to read the example
| Step | Example input | What to inspect |
|---|---|---|
| Provider unit | Image, megapixel, second, or generation | What the rate actually bills |
| One attempt | Unit price times billed units | Raw generation cost |
| Accepted output | One-attempt cost times retry count | Product-level cost per usable result |
Interpretation guide
- Do not compare two models until their billing units have been normalized for the same output.
- A cheaper attempt can still be more expensive per accepted output when retries are high.
- Recheck the source record before publishing customer-facing generation prices.
Limitations
fal.ai media model pricing is a planning tool, not a billing guarantee. It uses the visible assumptions and committed source-backed data available at the page's last update.
Check the cited provider page and your own production logs before signing a contract, changing price, or committing infrastructure spend.
Frequently asked questions
What should I enter first in fal.ai media model pricing?
Start with units: image, megapixel, second, or generation. Add optional adjustments only after the base case is understandable.
Is the result a guaranteed invoice forecast?
No. It is a planning estimate based on the visible workload assumptions and source-backed public prices. Taxes, negotiated discounts, undocumented limits, and production behavior can change the final invoice.
Where do the prices and assumptions come from?
ByteCosts keeps provider source links, confidence information, and last-checked dates attached to pricing records. User-entered workload assumptions remain separate from published vendor facts.
fal.ai media model pricing. ByteCosts. https://bytecosts.com/tools/fal-pricing/