New API vs Phind
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. | Phind is an AI-powered search engine specifically designed for developers and technical professionals, offering quick and accurate answers to complex queries. It integrates into development environments like Visual Studio Code, providing context-aware search results, often with coding snippets and documentation. Phind supports up to 32K token context windows, ensuring comprehensive responses. Operating on the advanced Phind-70B model, it also boasts superior speed and accuracy for technical queries, outperforming traditional search engines and even GPT-4. Available across several platforms, it offers flexible pricing with free and pro plans. |
| Category | Developer Tools | Search Engine |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | AI gatewayLLM routingmodel managementrate limitingusage accounting | AIsearch enginedeveloperstechnical professionalsVisual Studio Code integration |
| 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 | ||
| AI-powered search for technical queries | ||
| Integration with Visual Studio Code | ||
| Fast, context-aware responses | ||
| Access to extensive technical documentation | ||
| Codebase integration for context-specific answers | ||
| Seamless conversation follow-up | ||
| Multi-platform availability | ||
| Superior speed and accuracy | ||
| Large context window of up to 32K tokens | ||
| Advanced model outperforming GPT-4 | ||
| View New API | View Phind | |
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