iAskai vs New API
Side-by-side comparison · Updated October 2026
| Description | iAsk.Ai is an innovative AI search engine that revolutionizes user information access by providing precise, real-time answers. Built on cutting-edge natural language processing (NLP) and transformer neural networks, iAsk.Ai excels in understanding complex queries and context, delivering reliable, contextually relevant answers. The platform supports a wide range of queries, including academic research and everyday questions, and is free to use. Its real-time data capabilities and integration with over 100 platforms make it an indispensable tool for professionals across various fields. iAsk.Ai's emphasis on accuracy and continuous updates sets it apart from traditional search engines. | 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 | Search Engine | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | Free | N/A |
| Plans |
| — |
| Use Cases |
|
|
| Tags | AIsearch engineNLPtransformer neural networksreal-time data | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Real-time responses to user inquiries | ||
| Advanced natural language processing | ||
| Support for complex and contextually rich queries | ||
| Free to use with optional Pro version | ||
| Seamless integration with over 100 platforms | ||
| Source-verified answers with multimedia components | ||
| Interactive conversations with follow-up questions | ||
| Continuous data updates for accuracy | ||
| User-friendly interface | ||
| Secure and private browsing options | ||
| 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 iAskai | View New API | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with iAskai and New API.