New API vs ReRender AI

Side-by-side comparison · Updated October 2026

 New APINew APIReRender AIReRender AI
DescriptionNew API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents.ReRender AI is an architectural visualization service from Stylefie, Inc. It turns sketches, model images and site photos into visual concepts for exploring materials, lighting and atmosphere. Its workflow is useful for early design discussions and presentations; generated images still need comparison with the actual design. The toolset includes exterior and interior rendering, style references, sketch-to-image, render enhancement, upscaling, image editing and multi-angle rendering. The paid plan also lists SketchUp plugin support. Start with a clear input image, test a specific material or lighting change, and inspect whether important geometry and details remain consistent. The individual Free Trial lists three renders per day, standard image quality, watermarks and public gallery sharing. The Monthly Plan is $45; the annual offer is a $450 charge for the first year. Paid plans advertise unlimited renders, 4x upscaling, watermark removal, private mode, advanced controls and video-generation credits. Credit amounts and renewal terms should be confirmed at checkout. The free-plan card says non-commercial use, while the general terms contain broader commercial-output language. Obtain confirmation before using free output commercially. Paid commercial-use rights do not remove third-party rights or professional review requirements. Free or trial renders may appear publicly or in promotion; use an included private-rendering feature for confidential client work. Stylefie says it does not train its own generative models on user content, but third-party AI providers process content under their own terms. Compare ReRoom AI for an interior-first workflow from the same operator. Its individual paid price differs, so choose around the type of visualization and required privacy rather than assuming both products have identical plans.
CategoryDeveloper ToolsImage Generation
RatingNo reviewsNo reviews
PricingOpen SourceFreemium
Starting PriceN/AFree
Plans—
  • Free Trial — Free
  • Monthly Plan — $45/mo
  • Annual Plan — first year — $450/yr
Use Cases
  • Development Teams
  • SaaS Companies
  • DevOps Engineers
  • Finance Teams
  • Architects
  • Interior Designers
  • Real Estate Developers
  • Homeowners
Tags
AI gatewayLLM routingmodel managementrate limitingusage accounting
architectural visualizationexterior renderinginterior renderingsketch to imageimage upscaling
Features
Self-hosted AI gateway and model management
Provider channels, token groups and model restrictions
OpenAI-compatible, Claude Messages and Gemini format support
Documented limits on protocol conversion
Weighted channel selection and failure retries
User-level model rate limiting
Request, usage and cache-hit cost accounting
Docker Compose deployment documentation
Sketch, model-image and site-photo visualization
Exterior and interior rendering
Style references and sketch-to-image
Render enhancement, image editing and upscaling
Multi-angle rendering
Free daily renders with public sharing
Paid private rendering and watermark removal
SketchUp plugin support listed on paid plans
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