PROVIDERLAST 30 DAYS
Palabra AI voice AI models and benchmarks
Palabra AI lists 1 TTS model in Coval. Its fastest dated TTS result is Palabra TTS v1 at mean 115 ms time to first audio (5th of 28) among TTS systems, with 5.8% WER. Results cover the last 30 days. Last measured .
Palabra AI develops speech translation and generation services.
- Measured models
- 1
- TTS
Overview
The tested model is multilingual and supports voice cloning plus an on-premises deployment option.
Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.
Model lineup
- Text-to-Speech
- Palabra TTS v1
Text-to-Speech
Full TTS dashboardRanked on Time to First Audio against 28 measured models.
- #4Qwen3 TTS 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.106 ms
| Model | Host | TTFA | Rank |
|---|---|---|---|
| Palabra TTS v1 | Palabra | 115 ms | 5th of 28 |
How fast are Palabra AI's TTS models?
Palabra TTS v1 measures mean 115 ms time to first audio (5th of 28) among TTS systems. Last measured 2026-09-15.
How accurate are Palabra AI's TTS models?
Palabra TTS v1 measures 5.8% word error rate (24th of 28) among TTS systems. Last measured 2026-09-15.
Which Palabra AI model is fastest?
Its fastest dated TTS result is Palabra TTS v1 at mean 115 ms time to first audio (5th of 28) among TTS systems, with 5.8% WER. Last measured 2026-09-15.
Limits of this comparison
Coval measures Palabra TTS v1 through Palabra's first-party synthesis endpoint.
- Translation and dubbing quality are not part of the TTS latency and intelligibility metrics shown here.
Official resources
Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.
Evaluate your own voice agent
Use Coval to test your production configuration, prompts and calls—not only the public benchmark endpoints.