BerriAI/litellm - GitHub vs Layer.app
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. | Layer is an AI-powered research tool that helps streamline your research efforts by offering advanced summarization, information extraction, and more. Designed to cut down your research time by 40%, Layer provides precise answers with sources, captures notes directly from complex PDFs, and highlights key insights to save you time and effort. Whether you're into journalistic investigations, scientific discovery, or academic research, Layer makes sure you get to the heart of the information quickly and effectively. Available in a free trial format, the Pro Plan offers unlimited features and priority support, making it a versatile tool for professionals and academics alike. |
| Category | Developer Tools | Research |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | $30/mo |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | AI-powered research toolsummarizationinformation extractionjournalistic investigationsscientific discovery |
| 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 | ||
| AI-powered summarization and information extraction | ||
| Reduces research time by 40% | ||
| Offers precise answers with sources | ||
| Enables note capture directly from PDFs | ||
| Supports unlimited PDF and website length | ||
| Provides early access to new features for Pro users | ||
| Includes priority support from the cofounder | ||
| Available as a browser extension | ||
| Built for various research use cases | ||
| Free trial available with limited features | ||
| View BerriAI/litellm - GitHub | View Layer.app | |
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