The 2025 Latency Benchmark: Morvoice vs. ElevenLabs vs. Azure Neural

Why Latency Matters for Conversational AI

In the world of AI voice agents, latency is the conversion killer. A delay of 500ms makes a bot sound like a bot. A delay of under 200ms feels like a human interruption. If you are building AI agents for customer support, gaming, or translation, your choice of TTS API defines your user experience.

Benchmark Methodology

To ensure fairness, we tested the 'Streaming' endpoints of all providers. We sent a standard 50-character phrase ('Hello, how can I help you today?') from a server located in AWS us-east-1. We measured TTFB (Time to First Byte) and full audio render time over 1,000 requests.

| API Provider | Model Type | TTFB (Avg) | Network Protocol |
|--------------|------------|------------|------------------|
| Morvoice     | Turbo v2.1 | 78ms       | WebSocket        |
| ElevenLabs   | Turbo v2.5 | 240ms      | WebSocket        |
| Azure Neural | Standard   | 380ms      | REST             |
| Google Cloud | WaveNet    | 450ms      | REST             |

Why Morvoice is 3x Faster

Our architecture is fundamentally different. While competitors rely on heavy auto-regressive models that generate audio sample-by-sample, Morvoice utilizes a proprietary 'Parallel Diffusion' technique. This allows us to predict phoneme duration and pitch simultaneously, drastically reducing the inference bottleneck.

Morvoice is the only API that keeps up with our LLM's token generation speed.

CTO of TalkRight AI