BerriAI/litellm - GitHub vs Img Upscaler
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. | ImgUpscaler is a versatile AI-powered mobile app designed to upscale images and photos. It features an array of advanced tools including image upscaling, face swapping, and object removal. The app enables users to enhance and enlarge their images in batches by 200% or 400%. Additionally, non-login users can upscale images up to 4000x4000 pixels for free, while paid subscribers can achieve resolutions up to 16000x16000 pixels. ImgUpscaler also stands out for its efficient batch processing and robust privacy measures, making it ideal for both casual users and professionals needing high-quality image enhancements. |
| Category | Developer Tools | Image Improvement |
| 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 | AIimage upscalingface swappingobject removalbatch processing |
| 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 image upscaling | ||
| Face swapping | ||
| Object removal | ||
| Batch processing for up to 5 images | ||
| Non-login upscaling up to 4000x4000 pixels | ||
| Paid upscaling up to 16000x16000 pixels | ||
| Portrait Model for facial images | ||
| Detailed Model for intricate details | ||
| Optimized for Anime and Cartoon upscaling | ||
| Robust privacy measures, clearing photos within 24 hours | ||
| View BerriAI/litellm - GitHub | View Img Upscaler | |
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