New API vs Vellum
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. | Vellum Workflows is a powerful platform that allows users to quickly prototype and deploy sophisticated AI applications. It enables chaining of business logic, data, APIs, and dynamic prompts to create various AI-driven use cases such as chatbots, summarizations, content generation, and information extraction. The platform provides resources like case studies, guides, and model comparisons, ensuring users can bring LLM-powered features to production securely and efficiently. |
| Category | Developer Tools | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Custom |
| Starting Price | N/A | N/A |
| Plans | — |
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| Tags | AI gatewayLLM routingmodel managementrate limitingusage accounting | AIworkflowsbusiness logicdataAPIs |
| 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 | ||
| Chaining of business logic with data and APIs | ||
| Dynamic prompt handling | ||
| Support for multiple AI models | ||
| Custom model integrations | ||
| Priority support with SLAs | ||
| Role-Based Access Control (RBAC) | ||
| Single Sign-On (SSO) | ||
| Virtual Private Cloud (VPC) installations | ||
| Case studies and guides | ||
| Free tools and resources | ||
| View New API | View Vellum | |
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