BerriAI/litellm - GitHub vs StableStudio

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubStableStudioStableStudio
DescriptionLiteLLM 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.Stability.ai announces a significant development in their product line with the blog post detailing the release and the future of DreamStudio under the new initiative, StableStudio. This initiative fosters a community-driven, open-source approach, emphasizing collaboration and innovation. Stability.ai also highlights the availability of Stable Diffusion 3 Medium weights on Hugging Face, enabling users to download and experiment with these new model weights.
CategoryDeveloper ToolsGenerative Art
RatingNo reviewsNo reviews
PricingOpen SourceFree
Starting PriceN/AFree
Plans—
  • Free — Free
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Machine Learning Enthusiasts
  • Developers
  • Artists
  • Researchers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
Stability.aiDreamStudioStableStudiocommunity-drivenopen-source
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
Open-source
Community-driven development
Stable Diffusion 3 Medium weights
Support for image, video, audio, 3D, and language models
Self-hosted, API, and cloud platform deployment options
Collaboration and innovation emphasis
Supports a variety of creative projects
Focus on continuous improvement
Encourages contributions from developers
Part of Stability.ai's suite of products
 View BerriAI/litellm - GitHubView StableStudio

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