Code-GPT vs New API
Side-by-side comparison · Updated October 2026
| Description | Code-GPT is a free Visual Studio Code extension created by Vaibhav Acharya. It provides instant explanations for your code directly within the editor using artificial intelligence. This tool aims to enhance your understanding and efficiency by delivering real-time insights into your code, thereby saving you time and reducing frustration. Installation is straightforward via the Extensions Marketplace within VS Code, and usage involves selecting the code and using the 'Explain Selected Code' command in the Command Palette. The extension supports machine learning categories and is compatible with multiple platforms. | 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 | AI Assistant | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Free | Open Source |
| Starting Price | N/A | N/A |
| Plans |
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| Tags | VS CodeVisual Studio CodeCode ExplanationsAIMachine Learning | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Real-time code explanations | ||
| Improves coding understanding | ||
| Saves time | ||
| Reduces frustration | ||
| In-depth code analysis | ||
| Easy installation | ||
| Supports multiple platforms | ||
| Created by Vaibhav Acharya | ||
| Free to use | ||
| Compatible with VS Code | ||
| 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 Code-GPT | View New API | |
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