Lazy vs New API
Side-by-side comparison · Updated October 2026
| Description | Lazy AI is a platform designed to streamline the process of developing and deploying web applications using simple prompts. With just one click, users can deploy their creations to the cloud, making software development accessible even to those without extensive coding experience. The platform's intuitive interface and customizable textarea styling ensure a seamless user experience, while comprehensive account and form navigation features simplify management and submissions. Additionally, Lazy AI offers a variety of example prompts for inspiration, covering a wide range of use cases from business websites to gaming applications. | 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 | No-Code | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Open Source |
| Starting Price | N/A | N/A |
| Use Cases |
|
|
| Tags | web developmentcloud deploymentno-codeuser experienceaccount management | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Build web apps with prompts | ||
| One-click cloud deployment | ||
| User-friendly interface | ||
| Customizable textarea styling | ||
| Comprehensive account management | ||
| Wide range of example prompts | ||
| Supportive community on Discord | ||
| Error handling for form submissions | ||
| Accessible to non-coders | ||
| Rapid prototyping capabilities | ||
| 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 Lazy | View New API | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with Lazy and New API.