MagicFlow vs New API
Side-by-side comparison · Updated October 2026
| Description | MagicFlow is an innovative platform designed to transform operational efficiency through advanced automation and efficient workflow management. By seamlessly integrating with existing tools and systems, MagicFlow helps organizations streamline processes, reduce manual tasks, and improve productivity. The platform offers customizable solutions to meet the unique needs of various industries, enabling teams to focus on strategic tasks rather than repetitive ones. | 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 | Task Management | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Open Source |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | automationworkflow managementoperational efficiencyproductivitycustomizable solutions | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Advanced automation | ||
| Seamless integration | ||
| Customizable solutions | ||
| User-friendly interface | ||
| Improved productivity | ||
| Efficient workflow management | ||
| Scalable solutions | ||
| Enhanced team collaboration | ||
| Industry-specific customization | ||
| Reduces manual tasks | ||
| 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 MagicFlow | View New API | |
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