FLUX Schnell API Pricing
As of October 10, 2026, FLUX Schnell costs $0.003 per image on fal.
- Per image
- $0.003
- Providers
- 1
- Added to LiteLLM
- November 2025
FLUX Schnell pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Per image | Context |
|---|---|---|---|
| fal | fal_ai/fal-ai/flux/schnell | $0.003 | – |
What FLUX Schnell costs in practice
Generating 1,000 images
| fal | $3.00 |
Use FLUX Schnell with LiteLLM
Call FLUX Schnell through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/images/generations. LiteLLM tracks the cost of every request at these prices.
from litellm import image_generation
response = image_generation(
model="fal_ai/fal-ai/flux/schnell",
prompt="A cute baby sea otter",
)model_list:
- model_name: flux-schnell
litellm_params:
model: fal_ai/fal-ai/flux/schnell
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/images/generations \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "flux-schnell",
"prompt": "A cute baby sea otter",
"n": 1,
"size": "1024x1024"
}'FLUX Schnell FAQ
How much does FLUX Schnell cost?
FLUX Schnell costs $0.003 per image on fal.
Which providers offer FLUX Schnell?
FLUX Schnell is available from fal through LiteLLM, using the model name fal_ai/fal-ai/flux/schnell.
How do I call FLUX Schnell with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="fal_ai/fal-ai/flux/schnell", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/images/generations from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
When did LiteLLM add FLUX Schnell?
FLUX Schnell was added to LiteLLM's model price file in November 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: fal.
Provider pages: fal.
