AnyAPI vs New API
Side-by-side comparison · Updated October 2026
| Description | AnyAPI.ai is a platform designed to seamlessly add AI capabilities to products within minutes. It enables users to craft the ideal GPT-3 prompt with A/B testing and offers live API endpoints for quick AI feature integration. The platform is particularly useful for converting emails to tasks and suggesting replies, thus optimizing workflow automation. Additionally, the service is free during its beta phase, providing an opportunity for users to explore and implement AI features without initial costs. | 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 | AI Assistant | 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 capabilitiesGPT-3 promptA/B testingAPI endpointsAI feature integration | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| GPT-3 prompt crafting with A/B testing | ||
| Live API endpoints for quick integration | ||
| Email-to-task conversion | ||
| Automated reply suggestions for emails | ||
| Free during beta phase | ||
| Privacy policy to ensure data protection | ||
| Support for multiple use cases | ||
| Created by expert developers | ||
| Easy platform access via website | ||
| Ongoing development with more use cases to be added | ||
| 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 AnyAPI | View New API | |
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