AI-Flow vs New API
Side-by-side comparison · Updated October 2026
| Description | AI-FLOW is an open-source platform designed to help innovators and creators build custom AI tools with ease. It features a simple drag and drop interface that allows users to connect multiple AI models seamlessly. New in version 0.7.2, the platform now includes the StabilityAI API, Claude 3, and a Layout View. Users can also take advantage of a free trial to explore its capabilities. | 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 | No-Code | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Free | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Tags | open-sourceplatformAI toolsAI modelsdrag and drop interface | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Connect multiple AI models easily | ||
| Simple drag and drop interface | ||
| Open-source platform | ||
| Includes StabilityAI API | ||
| Supports Claude 3 | ||
| Layout View for better organization | ||
| Designed for innovators and creators | ||
| Free trial available | ||
| Seamless AI integration | ||
| User-friendly design | ||
| 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 AI-Flow | View New API | |
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