BerriAI/litellm - GitHub vs Respeecher
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. | Respeecher offers several routes to synthetic speech. Voice Marketplace combines an AI voice library with text-to-speech and speech-to-speech conversion, including a Pro Tools plugin workflow. Speech-to-speech starts from a recorded performance; text-to-speech starts from a script. Respeecher Space is a separate real-time TTS API for voice applications, while custom Voice Lab projects cover bespoke voice work. Choose by input, delivery latency and integration, rather than assuming one subscription includes every product. For Marketplace, pay-as-you-go starts with five credits for $5, listed as 20,000 TTS characters or five speech-to-speech minutes. Larger packs currently display discounted prices of $15 for 16 credits, $27 for 30, $70 for 100 and $250 for 500. Subscription Creator includes 400,000 TTS characters and 90 STS minutes for $89 per month; Power includes three million characters and 900 minutes for $499 per month. The first-month offers are $44.50 and $249.50, not the ongoing monthly price. Annual billing is offered separately; its displayed monthly equivalents are not month-to-month charges. A TTS-only slider offers different character allowances, so check the selected allowance and renewal amount before subscribing. The FAQ advertises a three-day free trial, but Marketplace terms prohibit commercial projects on trial plans. Subscription minutes reset on the billing date without rollover; purchased credits expire after one year unless agreed otherwise in writing. Marketplace terms also restrict organizations exceeding $1 million in annual revenue to a custom subscription when using the service commercially. Space has separate pay-as-you-go pricing: its product page currently lists $2 per 60,000 characters, described as roughly one hour of audio. Character count is the stated billing unit; speaking duration varies. Start a voice-conversion evaluation with clean, isolated recordings, calibrate the source voice, and compare pronunciation, timing and performance against the original. Obtain explicit permission for a target person's voice and document the intended use. Respeecher's ethics page says client data is used to train AI voice models, so this is not a blanket no-training service. Its privacy policy describes purpose-based retention; the FAQ's account-deletion processing window of up to 30 days is not an automatic audio-file expiry promise. Agree project, access and deletion requirements before uploading confidential recordings. |
| Category | Developer Tools | Text-To-Speech |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Paid |
| Starting Price | N/A | $5 |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | voice conversionspeech-to-speechtext-to-speechvoice actingreal-time TTS API |
| 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 | ||
| Marketplace text-to-speech and speech-to-speech | ||
| Voice library and Pro Tools plugin workflow | ||
| Source-voice calibration for voice conversion | ||
| Pay-as-you-go credits and volume subscriptions | ||
| Separate Space real-time TTS API | ||
| Custom voice projects with explicit voice permission | ||
| View BerriAI/litellm - GitHub | View Respeecher | |
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