BerriAI/litellm - GitHub vs Quizwhiz
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. | QuizWhiz is a cutting-edge platform designed to help users generate engaging quizzes and comprehensive study notes seamlessly using advanced AI-powered tools. Ideal for teachers creating exams or students who need to self-study, QuizWhiz offers a wide range of features including quiz generation from various inputs (text, PDF, image, or URL), automated study notes creation, self-assessment tools, AI-powered chat with study documents, and advanced diagram labeling. It simplifies the entire study and quiz creation process, making it accessible and efficient for all types of users. |
| Category | Developer Tools | Education |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | quiz generationstudy notesself-assessmentAI-powered chatdiagram labeling |
| 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 | ||
| Generate quizzes from text, PDF, images, or URLs | ||
| Supports multiple types of questions including MCQs, short questions, fill-in-the-blanks, true or false, scenario-based, and diagram labeling questions | ||
| AI-powered study notes creation | ||
| Pre-generated study notes organized by subject, grade level, and board system | ||
| Self-assessment tool with progress tracking and optional timing | ||
| AI-powered chat with documents for instant answers and explanations | ||
| Diagram Labelling tool to hide labels and generate labeling questions | ||
| Export quizzes in various formats including PDF, DOCX, TXT, MD, HTML, EPUB, and JSON | ||
| Customizable question generation including higher-order questions and volume control | ||
| Simple pricing plans with options for individuals and institutions | ||
| View BerriAI/litellm - GitHub | View Quizwhiz | |
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