AI Stud vs New API
Side-by-side comparison · Updated October 2026
| Description | AI Studio is a dynamic platform designed to automate and manage complex tasks through the power of Artificial Intelligence (AI). By harnessing the capabilities of top AI tools, AI Studio presents an innovative solution for individuals and businesses alike, aiming to eliminate time-consuming and repetitive tasks. With features like a web-based graph-and-node editor, command-line tools, and an upcoming desktop application, AI Studio facilitates the creation, deployment, and execution of AI systems for a wide range of applications. Whether it's web research, writing, data analysis, transcription, or more, AI Studio empowers users to focus on creative and impactful work by handling the mundane. | 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 | Automation | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Free | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Tags | AI toolstask automationdata analysiswritingtranscription | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Web-based graph-and-node editor | ||
| Command-line tools for system execution and deployment | ||
| Upcoming desktop application for advanced AI model usage | ||
| Automates mundane tasks like web research, writing, data analysis, and more | ||
| User-friendly and sophisticated web interface | ||
| Support for sharing built systems within the community | ||
| Resourceful support through articles, guides, documentation, and open-source community | ||
| Access to a variety of AI tools for diverse applications | ||
| Easily deployable AI systems | ||
| Based in Bryggen, Bergen, Norway | ||
| 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 Stud | View New API | |
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