New API vs Taylor AI
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. | Taylor AI offers a platform to help streamline and enhance text wrangling processes. It boasts features like high accuracy, fast classifications, and customization ability, suitable for various use cases from individual developers to enterprise-level needs. Users can try out the classifiers on Taylor AI's website or get started for free by signing up. The platform is highly secure, SOC2-compliant, and supports implementation through API or spreadsheet, making it versatile for different user needs. |
| Category | Developer Tools | Data Management |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | $499/mo |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayLLM routingmodel managementrate limitingusage accounting | text wranglinghigh accuracyfast classificationscustomizationdevelopers |
| 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 | ||
| 99%+ classification accuracy | ||
| Blazing fast classifications with milliseconds of latency | ||
| Simple implementation via spreadsheet or API | ||
| Highly customizable labeling and confidence score thresholds | ||
| SOC2 compliance and advanced security features | ||
| Multiple pricing plans including a free tier | ||
| Priority support for enterprise clients | ||
| Hand-trained custom models | ||
| Volume discounts for high classifications | ||
| Scalable for various user needs | ||
| View New API | View Taylor AI | |
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