ABrush vs FastRouter.ai: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of ABrush and FastRouter.ai — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

ABrush

Freemium

AI image generation and editing studio that runs as a panel inside Adobe Photoshop, with 23+ models, ControlNet, LoRA styles and layer-native output.

Photoshop-native panel: Generation, editing and upscaling happen on the open document and land on real layers, with no export-import round trip
23+ models in one panel: Switch between Stable Diffusion, Flux, Qwen Image and others per stage of a piece rather than committing to one provider
Targeted editing: Inpaint or regenerate only the region that needs changing, keeping the rest of the composition untouched
Pro conditioning controls: ControlNet support plus IP-Adapter and reference images for pose, composition and style control
Custom LoRA styles: Load your own LoRA or style models to keep generations consistent with an established look
Generation history: Every generation is saved and recoverable, so artists can return to an earlier variation without regenerating
Shareable presets: Save prompts and settings as presets and share them across a team to reproduce a house style
Commercial-safe data policy: Generated images belong to the user and customer images are not used for model training

A concept artist generating multiple variations of a character directly in the working file and painting over the strongest one
A retoucher fixing a single element of a composite with inpainting rather than regenerating the whole image
A studio distributing a shared preset pack so several artists produce work in a consistent house style
A freelance illustrator using a custom LoRA to keep generated assets on-style with a client's brand
A designer upscaling and cleaning up a low-resolution asset without leaving Photoshop
An agency handling commercial client work that needs assurance the images aren't used for model training

FastRouter

Freemium

Enterprise LLM gateway that routes, compares and monitors 200+ models through a single OpenAI-compatible API with zero markup.

Unified OpenAI-Compatible API: Access 200+ models for text, image, video, embeddings and speech from one endpoint and swap models without code changes.
Smart Auto Router: Routes each request to the best model based on cost, latency, throughput or output quality.
Automatic Failover: Retries across providers, fallback model lists and virtual model aliases keep applications running during failures.
Cost Control and Governance: Project and API key limits, member roles and access controls prevent spend spikes.
Model Council and Playground: Compare latency, quality and cost side by side and combine models to cross-check outputs.
Observability and Insights: Unified dashboards, activity logs, alerts and weekly Insights that rank cost-saving changes.
Self-Hosting: Run the full gateway in your own cloud so prompts, responses, logs and provider keys stay in your network.

An engineering team replaces several provider SDKs with one OpenAI-compatible endpoint to simplify integration.
A product team cuts LLM spend by routing simple requests to cheaper models and reserving premium models for hard ones.
A platform team keeps a customer-facing app online by defining fallback model lists across providers.
A finance-conscious leader sets per-project and per-key limits to avoid surprise bills.
A regulated enterprise self-hosts the gateway so prompts and provider keys never leave its network.
A developer compares candidate models for latency, quality and cost in the playground before shipping.