BerriAI/litellm - GitHub vs JADBio
Side-by-side comparison · Updated October 2026
| Description | LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application. | JADBio offers multiple pricing plans to cater to different user needs. The Basic1 plan is free and includes full functionality, such as data uploading, basic tuning, and model visualizations. The Team5+ plan, priced at $2,199 per team per month, provides advanced features, additional support, and up to 10 seats. Business Pro40+ plan offers custom pricing and includes enterprise-grade features like AWS container delivery, big volume data analysis, and up to 1000 CPUs. Finally, a Classroom Plan is available for educators, providing control over student accounts and extra resources at no cost. |
| Category | Developer Tools | Machine Learning |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | $2199/yr |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | pricingplansdata uploadingtuningmodel visualizations |
| Features | ||
| Python SDK for direct application integration | ||
| Shared AI proxy gateway and administration UI | ||
| More than 100 documented model-provider integrations | ||
| Virtual keys, users, teams, budgets and rate limits | ||
| Spend tracking and observability integrations | ||
| Router retries, fallbacks and load balancing | ||
| MCP gateway for Streamable HTTP, SSE and stdio upstreams | ||
| Key, team and organization MCP permissions | ||
| Separate enterprise identity, audit and support features | ||
| Free 14-day trial for Basic1 and Team5+ plans | ||
| Basic functionalities in the free Basic1 plan | ||
| Advanced features and support in the Team5+ plan | ||
| Enterprise-grade capabilities in the Business Pro40+ plan | ||
| Classroom plan for educational use | ||
| Multiple feature selection and extensive tuning | ||
| API access and custom analysis | ||
| Big data capabilities and user-defined algorithms | ||
| AWS container/on-premise delivery | ||
| Premium and platinum support options | ||
| View BerriAI/litellm - GitHub | View JADBio | |
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