Magnific vs New API
Side-by-side comparison · Updated October 2026
| Description | Magnific.ai provides advanced AI-powered tools for upscaling, enhancing, and transforming images. With this service, users—including professionals in photography, graphic design, digital art, and more—can upload images in any allowed format to achieve higher resolution and meticulously detailed enhancements. The platform offers a variety of customizable sliders like Creativity, HDR, and Resemblance to control the level of detail and avoid artifacts. Subscription plans include Pro, Premium, and Business options, with secure payment services available. The AI functionality is user-friendly and accessible to creators of all skill levels. | 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 | Image Improvement | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Paid | Open Source |
| Starting Price | $39/mo | N/A |
| Plans |
| — |
| Use Cases |
|
|
| Tags | AI-poweredimage upscalingenhancingtransforminghigher resolution | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| AI-powered image upscaling | ||
| Enhanced resolution & detail | ||
| Customizable Creativity, HDR, and Resemblance sliders | ||
| User-friendly interface | ||
| Secure payment service | ||
| Pro, Premium, and Business subscription plans | ||
| Support for multiple image formats | ||
| Guided transformations via text prompt | ||
| Community and tutorials for support | ||
| Created by experienced indie entrepreneurs | ||
| 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 Magnific | View New API | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with Magnific and New API.