New API vs Winchat

Side-by-side comparison · Updated October 2026

 New APINew APIWinchatWinchat
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.Winchat is an AI concierge designed for premium eCommerce brands, offering a variety of features to enhance customer engagement and sales. With Winchat, businesses can achieve up to 67% sales growth due to 100% automated and personalized replies, 24/7 instant support in over 90 languages, quick and easy setup without the need for technical skills, and one-click upsell that turns support into a profit center. Additionally, the platform allows full control and customization of chatbots, continuous AI training, and seamless email collection and customer interaction, driving both cost reduction and sales boost.
CategoryDeveloper ToolsCustomer Support
RatingNo reviewsNo reviews
PricingOpen SourcePricing unavailable
Starting PriceN/AN/A
Use Cases
  • Development Teams
  • SaaS Companies
  • DevOps Engineers
  • Finance Teams
  • eCommerce Managers
  • Customer Support Teams
  • Sales Teams
  • Marketing Teams
Tags
AI gatewayLLM routingmodel managementrate limitingusage accounting
AIConciergeeCommerceSalesCustomer Engagement
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
67% sales growth
100% automated replies
Personalized customer interactions
24/7 multi-language support
45-second setup
Full control and customization
Continuous AI training
Seamless email collection
One-click upsell
Cost reduction and sales boost
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