Chatzap vs New API
Side-by-side comparison · Updated October 2026
| Description | Chatzap is an AI chatbot platform designed for easy integration and deployment on your website within minutes. This platform enables you to create chatbots that can deliver instant, accurate, and around-the-clock responses to your customers' queries, significantly enhancing user engagement. The chatbots can be trained using either website links or provided text and can be customized in appearance to blend seamlessly with your site. With Chatzap, you can reduce support overheads and capture valuable leads, all while ensuring that your website visitors receive immediate assistance at all times. | New 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. |
| Category | Chatbot | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | AI chatbotinstant responses24/7 supportuser engagementwebsite integration | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Instant deployment in under 5 minutes | ||
| Training via website link or text input | ||
| Customizable appearance | ||
| Lead capture capabilities | ||
| Round-the-clock customer support | ||
| Multilingual support with 95 languages | ||
| Real-time widget preview | ||
| Reduced customer service overhead | ||
| Data stored in secure AWS servers | ||
| Free and premium pricing plans available | ||
| 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 | ||
| View Chatzap | View New API | |
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