PROVIDERLAST 30 DAYS

official resource

Fluxions voice AI models and benchmarks

Fluxions lists 1 TTS model in Coval. Its fastest dated TTS result is vui at mean 66 ms time to first audio (1st of 28) among TTS systems, with 5.5% WER. Results cover the last 30 days. Last measured .

Fluxions provides Vui, a real-time speech synthesis API with cloning and expressive controls.

Measured models
1
TTS

Overview

Fluxions builds and serves a single first-party TTS endpoint.

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
vui

Ranked on Time to First Audio against 28 measured models.

Time to First Audioms · lower is better · Fluxions models markedEvery measured TTS model on Time to First Audio, with Fluxions's models highlighted.
  1. #1vui66 ms
  2. #3TTS Flash 291 ms
  3. #4Qwen3 TTS 1.7b106 ms
  4. #6TTS 2181 ms
  5. #7Flash v2.5194 ms
leaders plus Fluxions models · 21 other models in the full table
Word Error Rate% · lower is better · Fluxions models markedEvery measured TTS model on Word Error Rate, with Fluxions's models highlighted.
leaders plus Fluxions models · 20 other models in the full table
Benchmarked models with their Time to First Audio over the last 30 days.
ModelHostTTFARank
vuiFluxions66 ms1st of 28

How fast are Fluxions's TTS models?

vui measures mean 66 ms time to first audio (1st of 28) among TTS systems. Last measured 2026-09-15.

How accurate are Fluxions's TTS models?

vui measures 5.5% word error rate (21st of 28) among TTS systems. Last measured 2026-09-15.

Which Fluxions model is fastest?

Its fastest dated TTS result is vui at mean 66 ms time to first audio (1st of 28) among TTS systems, with 5.5% WER. Last measured 2026-09-15.

Limits of this comparison

Fluxions creates and hosts the measured endpoint.

  • The public benchmark measures audible startup and intelligibility, not subjective emotion quality or speaker similarity.

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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