FastRouter.ai vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of FastRouter.ai and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
FastRouter.ai
FastRouter
Enterprise LLM gateway that routes, compares and monitors 200+ models through a single OpenAI-compatible API with zero markup.
Key features
- 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.
Best for
- 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.
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning