PROVIDERLAST 30 DAYS
Speechify voice AI models and benchmarks
Speechify lists 2 TTS models in Coval. Its fastest dated TTS result is Simba 3.2 at mean 452 ms time to first audio (22nd of 28) among TTS systems, with 4.4% WER. Results cover the last 30 days. Last measured .
Speechify provides text-to-speech APIs and voice products.
- Measured models
- 2
- TTS
Overview
Speechify'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 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
How fast are Speechify's TTS models?
Simba 3.2 measures mean 452 ms time to first audio (22nd of 28) among TTS systems. Last measured 2026-09-15. Simba 3.0 measures mean 471 ms time to first audio (23rd of 28) among TTS systems. Last measured 2026-09-15.
How accurate are Speechify's TTS models?
Simba 3.2 measures 4.4% word error rate (6th of 28) among TTS systems. Last measured 2026-09-15. Simba 3.0 measures 5.2% word error rate (16th of 28) among TTS systems. Last measured 2026-09-15.
Which Speechify model is fastest?
Its fastest dated TTS result is Simba 3.2 at mean 452 ms time to first audio (22nd of 28) among TTS systems, with 4.4% WER. Last measured 2026-09-15.
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.
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