Prices
Image, video, and speech prices on fal.ai
Image, video, and speech prices on fal.ai is built for teams choosing generative media models by published per-output price rather than demos alone. Use it to decide which media model stays inside budget for the desired output volume. Keep the workload assumptions consistent across options, then inspect the cited prices and last-checked dates before committing budget.
Open media prices - Compare fal.ai hosted rates by modality →
The decision this page helps you make
fal.ai hosted prices for generative image, video, and speech models, grouped by modality.
The practical question is which media model stays inside budget for the desired output volume. Use the same workload assumptions for every option so the comparison reflects billing differences instead of different inputs.
Start with these inputs
- Image: fal.ai hosted per-image or per-megapixel rates.
- Video: fal.ai hosted per-second or per-generation rates.
- Speech: fal.ai hosted per-character or per-output rates.
What the result includes
| Area | What ByteCosts shows |
|---|---|
| Image | fal.ai hosted per-image or per-megapixel rates |
| Video | fal.ai hosted per-second or per-generation rates |
| Speech | fal.ai hosted per-character or per-output rates |
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
There is no universal quality-to-cost formula. Compare models within the same billing unit, then multiply the published fal.ai per-output price by your accepted-output retry rate.
Assumptions
- Prices are fal.ai hosted list rates and are not comparable across unrelated billing units.
- A cheaper attempt can still be more expensive per accepted output when retries are high.
- ByteCosts does not publish a third-party quality ranking for media models.
- Unknown prices remain unknown rather than being estimated from another model.
Example scenario
Shortlist models for one task such as text-to-image or image editing. Compare fal.ai list prices first, then calculate the cost of one accepted output using your retry rate.
Interpretation guide
- Use the price list to create a shortlist, not to choose a universal winner.
- Validate the shortlist with your own prompts and accepted-output criteria.
- Combine latency, retry rate, and price before selecting a production model.
Limitations
Image, video, and speech prices on fal.ai 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 Image, video, and speech prices on fal.ai?
Start with image: fal.ai hosted per-image or per-megapixel rates. 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.
Image, video, and speech prices on fal.ai. ByteCosts. https://bytecosts.com/tools/media-models/