FastRouter.ai vs Praex: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of FastRouter.ai and Praex — 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.
Praex
Praex
Open-source AI coding copartner with its own Velox, Faber and Lucia models, available in terminal, mobile and web.
Key features
- Own Model Family: Velox II, Faber II and Lucia II are tuned and served by Praex on its own infrastructure, sized from quick edits to frontier-scale problems.
- Terminal CLI: Install with a one-line script and let the agent read files, run commands, edit code and verify tests directly in your terminal.
- Cross-Device Sessions: Start a task in the terminal, steer it from your phone and review it on the web with the same agent, memory and session.
- Bring Your Own Keys: Run Praex on any model with your own API keys or hardware at no extra cost.
- Open-Source Core: The CLI is an MIT-licensed fork of opencode, so the agent harness can be inspected and modified.
- No Sign-Up Chat: Start chatting on the web with the free Velox II model without creating an account.
Best for
- Fixing Failing Builds: Hand the agent a broken deploy and let it read configs, run tests and patch source until tests pass.
- Everyday Quick Edits: Use the free Velox II model for instant answers and small code changes in the terminal.
- Deep Reasoning Tasks: Escalate to Faber II on Pro for complex coding and multi-step reasoning.
- Mobile Task Steering: Kick off a refactor at your desk and monitor or redirect it from your phone.
- Self-Hosted Workflows: Point the CLI at your own models or keys to keep code on infrastructure you control.
