New API vs ParallelGPT
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. | ParallelGPT is a powerful AI tool providing batch processing and low-code workflow solutions. Users can bulk process tasks using ChatGPT through a spreadsheet interface with CSV/JSON import/export without querying one-by-one. It supports multiple AI models like OpenAI GPT-4, Claude 3, and Gemini. Designed for low-code environments, users can create and tweak AI workflows using ready-made templates, integrating their own logic with ease. Secure data management is ensured via storage on the user's Google Cloud project. The platform is free to start, offering extensive features like API creation and scheduled jobs. |
| Category | Developer Tools | Automation |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Free |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | AI gatewayLLM routingmodel managementrate limitingusage accounting | batch processinglow-code workflowbulk processChatGPTspreadsheet interface |
| 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 | ||
| Batch processing with ChatGPT | ||
| Low-code AI workflow creation | ||
| Supports multiple AI models (GPT-4, Claude 3, etc.) | ||
| Secure data management on Google Cloud | ||
| No-code to full coding extensibility | ||
| Ready-made templates for easy setup | ||
| One-click API creation and scheduling | ||
| Team collaboration with granular access control | ||
| Free to start | ||
| CSV/JSON import and export | ||
| View New API | View ParallelGPT | |
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