BerriAI/litellm - GitHub vs MOVE Ai
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. | Move AI offers a suite of markerless motion capture products that cater to a diverse range of needs in the industry, including Move One, Move Pro, Move Live, and Move API. These products enable studios, brands, and individual creators to capture high-quality motion data using standard cameras and phones, without the need for suits or markers. Key features include the ability to capture in any environment, multi-person and large volume captures, advanced AI and computer vision technology, and convenient data export options. |
| Category | Developer Tools | Motion Capture |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Free |
| Starting Price | N/A | N/A |
| Plans | — |
|
| Use Cases |
|
|
| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | motion captureAIcomputer visiondata exportmulti-person capture |
| 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 | ||
| Markerless motion capture: No suits or markers required | ||
| Multi-camera support: Use multiple standard cameras for capturing | ||
| High-fidelity motion data: Advanced AI and computer vision ensure high-quality captures | ||
| Multi-person capture: Capture up to 22 people simultaneously | ||
| Large volume support: Up to 20m x 20m capture spaces | ||
| Fast processing: Get motion data back in minutes | ||
| Hand and finger tracking: Detailed tracking for intricate movements | ||
| Automatic retargeting: Export and retarget data easily | ||
| Flexible export options: Export data in FBX, USD, and MP4 formats | ||
| Real-time capture: Capability for live motion capture and immediate data output | ||
| View BerriAI/litellm - GitHub | View MOVE Ai | |
Modify This Comparison
Also Compare
Explore more head-to-head comparisons with BerriAI/litellm - GitHub and MOVE Ai.