PROVIDERLAST 30 DAYS
SpeechifyAI voice AI models and benchmarks
SpeechifyAI lists 2 TTS models in Coval. Its fastest dated TTS result is Simba 3.0 at mean 111 ms time to first audio (6th of 32) among TTS systems, with 1.5% WER. Results cover the last 30 days. Last measured .
SpeechifyAI provides text-to-speech APIs and voice products.
- Measured models
- 2
- TTS
Overview
SpeechifyAI's Simba line is versioned, with 3.0 and 3.2 both live for side-by-side comparison.
Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.
Text-to-Speech
Full TTS dashboardRanked on Time to First Audio against 32 measured models.
- #5Qwen3 TTS 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.107 ms
| Model | Host | TTFA | Rank |
|---|---|---|---|
| Simba 3.2 | SpeechifyAI | 126 ms | 8th of 32 |
| Simba 3.0 | SpeechifyAI | 111 ms | 6th of 32 |
How fast are SpeechifyAI's TTS models?
Simba 3.0 measures mean 111 ms time to first audio (6th of 32) among TTS systems. Last measured 2026-10-14. Simba 3.2 measures mean 126 ms time to first audio (8th of 32) among TTS systems. Last measured 2026-10-14.
How accurate are SpeechifyAI's TTS models?
Simba 3.0 measures 1.5% word error rate (3rd of 32) among TTS systems. Last measured 2026-10-14. Simba 3.2 measures 1.9% word error rate (23rd of 32) among TTS systems. Last measured 2026-10-14.
Which SpeechifyAI model is fastest?
Its fastest dated TTS result is Simba 3.0 at mean 111 ms time to first audio (6th of 32) among TTS systems, with 1.5% WER. Last measured 2026-10-14.
Limits of this comparison
Coval measures Simba 3.0 and Simba 3.2 as distinct first-party synthesis versions.
- The benchmark does not rate voice preference, cloning fidelity or Speechify's consumer reading applications.
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.