BerriAI/litellm - GitHub vs Zivy Listens
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. | Zivy Listen is a versatile app designed to transform long reads into quick, insightful podcasts, saving you time on consuming web articles, newsletters, or texts. You can customize what sections to listen to, adjust listening speed, and utilize features like note-taking, highlighting, and sharing across multiple devices. User testimonials consistently praise its efficiency, ease of use, and its value in boosting productivity and multitasking capabilities. |
| Category | Developer Tools | Text-To-Speech |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Pricing unavailable |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | podcaststext to speechaudioproductivitymultitasking |
| 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 | ||
| Summarize web articles into podcasts | ||
| Select listening speeds from ⅓ to 3x | ||
| Create life-like conversational summaries | ||
| Extract key insights using AI and GPT integration | ||
| Choose specific sections to listen to | ||
| Take and share notes | ||
| Highlight sections for later review | ||
| User-friendly interface | ||
| Compatible with multiple devices | ||
| Supports multitasking | ||
| View BerriAI/litellm - GitHub | View Zivy Listens | |
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