AIModels.fyi vs BerriAI/litellm - GitHub
Side-by-side comparison · Updated October 2026
| Description | AIModels.fyi is your one-stop platform for discovering the latest AI models, tools, and insights in the rapidly evolving world of artificial intelligence. With a comprehensive database that spans various categories, including creators, models, and trending tools, this site keeps you up-to-date with the newest innovations while providing a space for AI enthusiasts to advertise their projects, submit new tools or models, and explore a wide array of AI resources. Whether you're a creator looking for inspiration, a developer in search of the right tool, or simply an AI aficionado keen on keeping up with the trends, AIModels.fyi has something for everyone. | 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. |
| Category | Aggregators | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | $0.01 | N/A |
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| Tags | AI modelsAI toolstrending toolsAI resourcesnew tools | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys |
| Features | ||
| Comprehensive database of AI models and tools | ||
| Creator profiles and Leaderboard | ||
| Section for advertising AI projects | ||
| Option to submit new tools or models | ||
| Weekly newsletter on AI models and research | ||
| Trending tools and models section | ||
| Detailed search functionality for finding specific AI applications | ||
| Platform for AI-related insights and notes | ||
| Broad range of content for various AI interests | ||
| Community engagement 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 | ||
| View AIModels.fyi | View BerriAI/litellm - GitHub | |
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