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The Humanness Index™
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The Humanness Index™

The open benchmark for how human voice AI sounds. Built and operated 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. Smallest.ai
  3. Lightning v3.1

Humanness Index™ · TTS model

Smallest.ai

Lightning v3.1

by Smallest.ai

Lightning v3.1 is Smallest.ai's flagship text to speech model, a 44.1 kHz engine built for conversational agents with instant voice cloning from a 5 to 15 second sample.

Rank
#14
Humanness
62
Likely rank
#1–20
Blind votes
3

Standings as of Jun 13, 2026, 02:28 UTC

LowerHigher

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

Lightning v3.1 key stats

Latency (measured)
420 ms1
Languages
122
Price / 1M chars
$153
Streaming
Yes4
Voice cloning
instant, 5-15 s sample5
Released
January 20266
  1. Vapi streaming benchmark (50 trials per model) (checked 2026-06-11) Median of 50 sequential live streaming trials, June 2026; includes network RTT from the benchmark machine.
  2. docs.smallest.ai/waves/model-cards/text-to-speech/lightning-v-3-1 (checked 2026-06-12) Model card: 12 languages with auto-detection and code-switching; the launch post lists 15 including major European languages.
  3. smallest.ai/pricing (checked 2026-06-12) Lightning V3.1 pay-as-you-go at ~$0.0145 per 1k characters = $14.50 per 1M; the Lightning V3.1 Pro tier bills ~$0.0195 per 1k ($19.50 per 1M).
  4. docs.smallest.ai/waves/model-cards/text-to-speech/lightning-v-3-1 (checked 2026-06-12) HTTP, SSE, and WebSocket surfaces on the unified Waves API.
  5. docs.smallest.ai/waves/documentation/voice-cloning/instant-clone-api (checked 2026-06-12)
  6. smallestai-ff1e543d.mintlify.app/v4.0.0/content/changelog/announcements (checked 2026-06-12, confidence: medium) Waves changelog lists the v3.1 release in January 2026; the Lightning V3 family launch post followed on 2026-03-27.

Background

Lightning v3.1 is Smallest.ai's flagship text to speech model, a 44.1 kHz engine built for conversational agents with instant voice cloning from a 5 to 15 second sample. It reads 12 languages with automatic language detection and mid-sentence code-switching, and its launch benchmark published head to head listener wins on EmergentTTS against GPT-4o-mini TTS, ElevenLabs Turbo v2.5 and Multilingual v2, and Cartesia Sonic-3.

Sources: docs.smallest.ai, smallest.ai

At a glance

The first Smallest.ai entry on the Index, served through the unified Waves API with HTTP, SSE, and WebSocket access. Pay-as-you-go pricing sits at roughly $14.50 per 1M characters, among the lowest rates in the field. In our 50 trial streaming benchmark it returned first audio in a median of 420 ms including network time.

Sources: smallest.ai, docs.smallest.ai

Position in the rankings

Standings as of Jun 13, 2026, 02:28 UTC

RankProviderModelHumannessLatency
#12ElevenLabsElevenLabsTurbo v264302 ms
#13NeuphonicNeuphonicneu_hq63276 ms
#14Smallest.aiSmallest.aiLightning v3.162420 ms
#15MiniMaxMiniMaxSpeech 2 HD62357 ms
#16ElevenLabsElevenLabsMultilingual v2591006 ms

See the full Humanness Index™ rankings

Frequently asked questions

How is Lightning v3.1 tested on the Humanness Index™?
Listeners hear Lightning v3.1 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.
Which languages does Lightning v3.1 support?
The model card lists 12 languages spanning English, Hindi, Spanish, and nine Indian languages, with automatic language identification and mid-sentence code-switching; the Lightning V3 launch post lists 15 including French, German, Italian, Dutch, Swedish, and Portuguese.

Keep exploring

Smallest.aiSmallest.aiAll Smallest.ai models on the Index

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