BerriAI/litellm - GitHub vs Khanmigo By Khan Academy
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. | Khanmigo is Khan Academy’s AI tutor and teaching assistant. Its tutoring approach uses questions and guided prompts to help learners reason through a problem, while teacher tools support lesson preparation, learning objectives, rubrics and exit tickets. Tutoring, writing practice, debate and coding feedback are available through the relevant learner or family plan. Free teacher access is separate from paid learner and parent access. Individual and family plans are listed at $4 per month or $44 per year, before applicable sales tax. A parent can enable Khanmigo for connected child accounts, review their interaction history and receive moderation alerts. Account, location and language eligibility apply; check the current signup requirements for your plan. Schools can request a separate Khanmigo District Tools quote. The district offering lists teacher and student access, school data, rostering, single sign-on through Clever SecureSync or ClassLink, implementation support and professional learning. A free teacher account does not automatically provide tutoring access to an entire class. For an evaluation, compare how the tutor guides a learner through a mistake, how an adult reviews the conversation, and whether the workflow fits the curriculum. Review AI suggestions before using them in teaching or assessed work. StudyMonkey offers a more direct question-and-explanation workflow, while Quizgecko focuses on practice material generated from your own sources. |
| 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 | AI tutorKhan Academyteacher toolsguided learningparent tools |
| 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 | ||
| Guided tutoring tied to Khan Academy content | ||
| Writing and debate prompts | ||
| Coding feedback | ||
| Teacher lesson planning, objectives, rubrics and exit tickets | ||
| Parent-managed access to connected child accounts | ||
| Parent conversation history and moderation alerts | ||
| Separate district rostering, SSO and support | ||
| View BerriAI/litellm - GitHub | View Khanmigo By Khan Academy | |
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