BerriAI/litellm - GitHub vs Speechify
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. | Speechify reads written content aloud for personal listening across documents and webpages. Its reader is useful when you want to hear an article, listen through study material or check the flow of a draft. Speechify Studio is a separate creation product for voiceover and related production workflows; reader access does not automatically include Studio exports, dubbing, avatars or voice cloning. The Free reader tier offers ten robotic-sounding voices and listening speeds up to 1.5x. The pricing page describes it as text-to-speech features only. Start here to check whether the available voice and reading controls suit your material before comparing paid options. A free listening tier should not be treated as an unrestricted MP3 generator or a license to publish narration. Premium is listed at $29 per month in the monthly billing view. It adds more than 1,000 natural voices, more than 60 languages and playback speeds up to 5x. Listed features include Scan & Listen, AI summaries and chats, plus Google Drive, Dropbox and OneDrive integrations. Confirm the selected billing interval and total before subscribing; an annual discount banner is not the same as a verified annual checkout price. Choose a listening speed that lets you follow the material, especially for unfamiliar technical terms or language practice. When scanning a printed page or reading a PDF, compare the extracted text with the original before relying on the audio. Names, tables, headings and page order deserve particular attention. These are practical review steps, not a measured accuracy or learning-outcome claim for Speechify. Speechify's general terms describe personal, noncommercial use and identify Voice Over Studio as an exception for commercial workflows. Studio has its own plans: its Free tier explicitly excludes commercial usage rights, while the reviewed Starter and Creator cards list annual prices of $100 and $300 respectively. A paid reader subscription does not substitute for those separate production terms. Businesses and teams should choose the product whose license covers the intended activity, including internal use and distribution. Compare NaturalReader when you want explicit character allowances and a separate Commercial voice generator, or TTSReader when a browser-first reading workflow fits. For any published voiceover, check the selected product's export formats, voice permissions and current plan terms before delivery. This review assesses documented features and pricing; it does not benchmark voice quality or transcription accuracy. |
| Category | Developer Tools | Text-To-Speech |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | text to speechdocument readerwebpage readerpersonal listeningvoiceover |
| 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 | ||
| Free reader up to 1.5x | ||
| 10 robotic sounding voices on the current Free reader view | ||
| Premium reader with 1,000+ natural voices and 60+ languages | ||
| Premium reader speeds up to 5x | ||
| Scan and listen, AI summaries and chats | ||
| Google Drive, Dropbox, and OneDrive integrations | ||
| Separate Studio product for voiceover and commercial creation workflows | ||
| View BerriAI/litellm - GitHub | View Speechify | |
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