BerriAI/litellm - GitHub vs Movmi
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. | Movmi is an AI-powered motion capture tool designed for 3D animators. It allows users to create high-quality 3D animations from 2D media data, like videos, without the need for suits or hardware. The software offers an array of features, including the ability to generate 3D poses from text, apply motion capture on Mixamo characters, and handle multiple human characters. It also includes an Artistic Mentor Chat Bot for guidance and a collaborative space for teamwork. Subscription plans are available, ranging from free to basic with additional support and features. |
| Category | Developer Tools | Motion Capture Tool |
| 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 | AImotion capture3D animation2D media data3D poses |
| 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 motion capture | ||
| Text-to-3D pose generation | ||
| Mixamo character integration | ||
| Multi-human support | ||
| Artistic Mentor Chat Bot | ||
| Team collaboration space | ||
| Subscription plans | ||
| No suit or hardware needed | ||
| Accessibility across multiple devices | ||
| High-quality 3D animation from videos | ||
| View BerriAI/litellm - GitHub | View Movmi | |
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