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The Humanness Index™
Built by VapiGitHub

The Humanness Index™

The open benchmark for how human voice AI sounds, so you can pick the model that passes. Built by Vapi.

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Code is Apache-2.0. Standings data is CC BY 4.0. Audio clips and source voices are licensed recordings, all rights reserved. Provider logomarks belong to their respective owners and are used nominatively. “The Humanness Index™” name and logo are Vapi trademarks; see TRADEMARKS.md.

  1. Humanness Index™
  2. Speechify
  3. Simba 3.2

Humanness Index™ · TTS model

Speechify

Speechify Simba 3.2

by Speechify

Simba 3.2 is Speechify's streaming native flagship, released to the SpeechifyAI API in July 2026 as the recommended model for new English integrations.

Rank
#3
Humanness
93
Likely rank
#1–8
Blind votes
542

Standings as of Aug 18, 2026, 11:54 UTC

LowerHigher

A real arena clip: a cloned source voice reading a customer support prompt at phone quality.

Simba 3.2 key stats

Latency (measured)
428 ms1
Languages
English2
Price / 1M chars
$103
Voice cloning
zero-shot, manual approval4
Released
July 8, 20265
  1. Vapi streaming benchmark (50 trials per model) (checked 2026-07-30) Measured on the chunked HTTP /v1/audio/stream endpoint at raw PCM output (16-bit, 24 kHz), using an allow-list voice (the arena clones are not registered on simba-3.2); median of 50 sequential trials, July 2026, including network RTT.
  2. docs.speechify.ai/build/guides/concepts/models (checked 2026-07-23) English only at launch; Speechify says multilingual support will land under the same model id.
  3. speechify.ai/text-to-speech-api (checked 2026-07-23) Flat per-character rate by plan: $10 per 1M characters on Starter, $8 on Pro, $6 on Scale; no credit conversion.
  4. docs.speechify.ai/build/guides/concepts/models (checked 2026-07-23) Cloned voices are supported on simba-3.2, but each voice key currently requires manual Speechify approval.
  5. docs.speechify.ai/build/changelog/2026/7/8 (checked 2026-07-23) API availability of simba-3.2 on the speech and stream endpoints.

Background

Simba 3.2 is Speechify's streaming native flagship, released to the SpeechifyAI API in July 2026 as the recommended model for new English integrations. Speechify positions it on expressivity and time to first byte, and it debuted statistically tied for first place on the Artificial Analysis TTS leaderboard. It serves a curated voice allow list, with cloned voices supported behind a manual approval step.

Sources: docs.speechify.ai, speechify.ai

At a glance

The arena clips for Simba 3.2 were rendered by Speechify with the four licensed source voices cloned on its platform, then verified and hosted by the Index team under the same frozen content hash scheme as every other model, the same vendor supplied path used where the pipeline has no API access. Latency is our own measurement: the 50 trial streaming benchmark ran against a Speechify key in July 2026 and returned a 428 ms median, so the figure here is measured rather than vendor supplied.

Sources: docs.speechify.ai

Position in the rankings

Standings as of Aug 18, 2026, 11:54 UTC

RankProviderModelHumannessLatency
#1ElevenLabsElevenLabsEleven v396758 ms
#2xAIxAIGrok TTS93460 ms
#3SpeechifySpeechifySimba 3.293428 ms
#4MiniMaxMiniMaxSpeech 2.892325 ms
#5Canopy LabsCanopy LabsOrpheus89—

See the full Humanness Index™ rankings

Frequently asked questions

How is Simba 3.2 tested on the Humanness Index™?
Listeners hear Simba 3.2 against another model in a blind head to head round, both voices reading the same customer support prompt from the same cloned source voice, and they pick whichever sounds more human. Its Humanness score derives purely from those votes.
Where did the Simba 3.2 arena clips come from?
Speechify rendered the 80 arena clips (four cloned source voices reading the 20 frozen prompts) with simba-3.2 and supplied them to the Index team, who normalized, verified, and hosted them under the frozen content hash scheme. Blind battles and scoring work exactly as for every other model.

Keep exploring

SpeechifySpeechifyAll Speechify models on the Index

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