Fal AI
on Orq.ai
Access generative media models hosted through Fal using Orq.ai for image, video, audio, and multimodal workloads.
Capabilities:
Vision
Models Supported:
flux-2-dev
flux-2-flex
flux-2-max
flux-2-pro
Gemini 2.5 Flash Image
flux-1
flux-pro/v1.1
flux/schnell
...
Provider HQ:
San Francisco, California
Access Fal through Orq.ai’s AI Router
Fal is a generative media platform for running image, video, audio, and other multimodal models through managed inference infrastructure. It’s suited to creative and product workflows that need access to different generation models without maintaining separate integrations for each one.
Fal models available on Orq.ai
Compare the Fal-hosted models currently available through Orq.ai, including their supported media types, pricing, and availability.
Model
Type
Context
Input / 1M
Output / 1M
flux-2-dev
image
0
$0.00
$12.00
flux-2-flex
image
0
$0.00
$50.00
flux-2-max
image
0
$0.00
$70.00
Why use Fal through Orq.ai?
Using Fal through Orq.ai lets teams combine generative media models with a wider AI stack without managing every provider integration, workflow, and observability setup separately.
Capability | Provider | Direct | Through Orq.ai |
|---|---|---|---|
Images | Image models hosted through Fal | Call supported Fal APIs directly for image generation and other image workflows. | Use Fal-hosted image models alongside Orq.ai-managed AI workflows while applying centralized tracing, evaluations, budgets, and governance controls where supported. |
Video | Video models hosted through Fal | Use supported Fal APIs for video generation and related media workflows. | Incorporate video generation into Orq.ai-managed workflows and monitor cost, latency, and quality alongside other providers. |
Other generative media | Audio, multimodal, and other supported models | Call supported Fal-hosted models directly through the appropriate provider APIs. | Orchestrate Fal-hosted media models alongside language models, tools, and other providers through the wider Orq.ai platform. |
Pricing
Fal pricing varies by model, media type, output configuration, usage volume, and billing setup.
Billing units can also differ by workload. Image generation may be charged by output or resolution, video generation may depend on duration or output configuration, and other model types may use different usage metrics.
You can connect supported Fal credentials to Orq.ai or use other available access options depending on your workspace configuration. Check Orq.ai and your Fal setup for current rates, quotas, and billing details.
Compatible frameworks and tools
Fal models can be incorporated into supported Orq.ai workflows through available provider and API integrations. Compatibility depends on the model, media type, and integration configuration being used.
Check the Orq.ai integration documentation for the latest setup options and compatibility information for Fal.
FAQs
Do I need a separate Fal account to use Fal through Orq.ai?
You can connect supported Fal credentials to Orq.ai or use other available access options depending on your workspace, plan, and region.
Can I route only some workflows to Fal and others to different providers?
Yes. Orq.ai lets you use different providers for different workloads, so Fal can handle supported image, video, or other generative media tasks while other requests are routed elsewhere.
Does using Fal through Orq.ai add latency?
Orq.ai adds an integration layer between your application and the provider. End-to-end latency depends on factors including the selected model, output type, provider performance, and workflow configuration, and can be monitored where supported.
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