Humanloop vs New API
Side-by-side comparison · Updated October 2026
| Description | Humanloop offers comprehensive tools for prompt management, evaluation, and deployment, designed for AI teams looking to build differentiated AI products quickly and securely. Their pricing plans accommodate both small teams and enterprise-wide deployments. With support for various models like OpenAI and Llama2, Humanloop enables efficient model fine-tuning, version-controlled prompts, and seamless integration into CI/CD workflows. Their user-friendly platform encourages collaboration across PMs, engineers, and domain experts, optimizing the entire AI development lifecycle. | 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 | Free | N/A |
| Plans |
| — |
| Use Cases |
|
|
| Tags | prompt managementevaluationdeploymentAI teamsAI products | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Comprehensive prompt management | ||
| Collaborative development environment | ||
| Support for multiple AI models | ||
| Seamless CI/CD integration | ||
| Version-controlled deployments | ||
| Role-based access controls | ||
| Fast support and end-to-end monitoring | ||
| High data security standards | ||
| Evaluation and monitoring suite | ||
| Customizable optimization tools | ||
| 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 Humanloop | View New API | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with Humanloop and New API.