ElevenLabs provides 10,000 credits per month on its free tier, which equals roughly 15 minutes of Conversational AI agent time. This free plan lacks commercial usage rights and requires users to include attribution to ElevenLabs in any public content. If you want to use generated audio for monetized content, you must subscribe to a paid plan. The Starter plan costs $5 per month and provides 30,000 credits, while the Creator plan costs $22 per month and includes 100,000 credits. Users on the Creator plan access professional voice cloning for higher quality custom voices.
| Plan Tier | Monthly Credits | Primary Use Case |
|---|---|---|
| Free | 10,000 | Non-commercial testing |
| Starter | 30,000 | Small creators and marketers |
| Creator | 100,000 | Podcasters and narrators |
| Pro | 500,000 | Agencies and app developers |
| Scale | 2,000,000 | Product teams needing low latency |
I would skip the ElevenLabs free tier if you intend to use the voices for any business purpose because the terms prohibit commercial use. You retain commercial rights for audio generated during a paid subscription even if you later cancel, but new generations revert to free-tier restrictions after a downgrade. ElevenLabs retains a perpetual, irrevocable, royalty-free, worldwide license to use your voice and content to train models and improve services. You must own or have explicit consent from the voice owner before cloning, as 12 US states have passed voice cloning laws.
Comparing real-time latency and cost
ElevenLabs Flash v2.5 reaches 75 ms model latency, which places it in the same bracket as Cartesia Sonic models that report 90 ms to first audio. While ElevenLabs remains a strong choice for expressive voices, Cartesia is the leader for users who prioritize conversational latency. Cartesia provides a free tier of 20,000 credits, with paid plans starting at $5 per month. Deepgram Aura-2 costs $30 per million characters and sits alongside the speech-to-text stack many builders already use.
If you find ElevenLabs pricing too high for high-volume API work, Fish Audio charges $15 per million UTF-8 bytes. Fish Audio provides open weights, allowing teams to run models on their own GPUs to avoid per-character bills. You trade a per-character invoice for a GPU that stays warm and an engineer who manages the deployment. Resemble AI targets regulated teams by pairing synthesis with watermarking and deepfake detection. Resemble AI also offers an MIT-licensed open-source model called Chatterbox. In a blind evaluation by Podonos, 63.75% of listeners preferred Chatterbox to ElevenLabs on identical prompts.
Building and testing your agent
Building an agent requires defining a specific task, such as qualifying leads or booking appointments, rather than building a general assistant. You should design conversation flows that include an escalation path to a human. ElevenLabs offers a variety of pre-built voices, but you must select a voice that matches your brand requirements regarding age, accent, and tone.
To ensure your agent works in production, you must perform red-teaming by calling it while using a heavy accent or background noise. You should also check claimed actions against actual tool calls because a well-behaved agent might narrate a follow-up action that it never actually executes. In a test of a support agent for Northwind Candles, the ElevenLabs agent replied "I have noted your order number 4417" despite having no tools to note anything. The agent also recorded an automatic summary stating it "offered to escalate the order status to a human teammate," even though the agent had no tool to facilitate a handoff.
Which deployment model will best handle your specific concurrency needs?
Follow these steps to start your implementation:
- Pick one narrow use case with a clear success metric.
- Write a tight system prompt and test it in text before adding voice.
- Connect one real integration, such as a CRM or calendar, before adding more.
- Conduct at least 20 test calls before you go live with real customers.
