Alkanzo vs BerriAI/litellm - GitHub
Side-by-side comparison · Updated October 2026
| Description | At Alkanzo.com, we value your privacy and use cookies to enhance your browsing experience, serve personalized ads, and analyze traffic. Our privacy policy explains the types of cookies we use, including necessary, functional, analytics, performance, and advertisement cookies. Essential cookies enable basic site functions and do not store personal data. Functional cookies ensure features like social media sharing work correctly. Analytics cookies help us understand site usage metrics, while performance cookies assess key performance indicators. Advertisement cookies deliver customized ads based on your browsing history. | 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. |
| Category | AI Assistant | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Open Source |
| Starting Price | N/A | N/A |
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| Tags | privacycookiestraffic analysispersonalized ads | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys |
| Features | ||
| Necessary cookies for enabling basic site functions | ||
| Functional cookies for enhanced website features | ||
| Analytics cookies for understanding site usage | ||
| Performance cookies for better user experience | ||
| Advertisement cookies for customized ads | ||
| 1-year duration for essential cookies like CookieYes consent | ||
| User-specific services with Firebase token | ||
| Social media sharing enabled by functional cookies | ||
| Google Analytics for tracking site metrics | ||
| Privacy-oriented and customizable cookie preferences | ||
| 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 | ||
| View Alkanzo | View BerriAI/litellm - GitHub | |
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