PROVIDERLAST 30 DAYS

official resource

Speechify voice AI models and benchmarks

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.

Model lineup

Text-to-Speech
Simba 3.2, Simba 3.0

Ranked on Time to First Audio against 30 measured models.

Time to First Audioms · lower is better · Speechify models markedEvery measured TTS model on Time to First Audio, with Speechify's models highlighted.
  1. #2vui124 ms
  2. #3TTS Flash 2128 ms
  3. #4TTS 2176 ms
  4. #5Blizzard235 ms
  5. #6Neural236 ms
  6. #7Mist v3256 ms
  7. #23Simba 3.2484 ms
  8. #25Simba 3.0526 ms
leaders plus Speechify models · 21 other models in the full table
Word Error Rate% · lower is better · Speechify models markedEvery measured TTS model on Word Error Rate, with Speechify's models highlighted.
  1. #1TTS RT v13.7%
  2. #2TTS Rt v23.9%
  3. #3Neural4.3%
  4. #6Default4.6%
  5. #7S2.1 Pro4.6%
  6. #9Simba 3.24.7%
  7. #21Simba 3.05.3%
leaders plus Speechify models · 21 other models in the full table
Benchmarked models with their Time to First Audio over the last 30 days.
ModelHostTTFARank
Simba 3.2Speechify484 ms23rd of 30
Simba 3.0Speechify526 ms25th of 30

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.

Book a Demo