AI Suit Up vs New API
Side-by-side comparison · Updated October 2026
| Description | AI SuitUp offers a revolutionary way to obtain professional headshots using AI technology. Trusted by over 18,000 professionals, the service allows users to generate high-quality, AI-driven headshots by simply uploading 16 photos of themselves. The process is quick and secure, with data stored and processed in the U.S.A. As an added bonus, AI SuitUp frequently offers deals, such as their Black Friday savings. In just a few hours, users receive 150 HD headshots perfect for profile pictures, resumes, and more. | 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 Generation | 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 | headshotsprofessionalAI technology | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| AI-driven headshot generation | ||
| Data security—stored and processed in the U.S.A. | ||
| Quick turnaround—under three hours | ||
| High-quality results—150 HD headshots | ||
| Trusted by over 18,000 professionals | ||
| User-friendly process—just upload 16 photos | ||
| Special offers available | ||
| Enhances poorly lit or amateur photos | ||
| Versatile use cases | ||
| Frequent promotional deals | ||
| 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 Suit Up | View New API | |
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