New API vs Teachable Machine
Side-by-side comparison · Updated October 2026
| Description | 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. | Teachable Machine by Google is an easy-to-use, web-based tool that allows anyone to create machine learning models for their websites, applications, and other projects without requiring any expertise in coding. Users can train the computer to recognize images, sounds, and poses by capturing examples live or using files. The tool uses a variety of technologies such as TensorFlow, p5.js, and node.js, among others. |
| Category | Developer Tools | Machine Learning |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Pricing unavailable |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | AI gatewayLLM routingmodel managementrate limitingusage accounting | machine learningweb-based toolTensorFlowp5.jsnode.js |
| Features | ||
| 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 | ||
| No coding required | ||
| Web-based tool | ||
| Fast and easy model training | ||
| Works with images, sounds, and poses | ||
| On-device usage option | ||
| Utilizes multiple technologies | ||
| Model exporting | ||
| Interactive learning | ||
| User-friendly interface | ||
| Suitable for various projects | ||
| View New API | View Teachable Machine | |
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