Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

Nari Labs voice AI models and benchmarks

Nari Labs lists 2 STT and TTS models in Coval. Fastest dated mean latency over 30 days: STT: Qwen3 ASR Fast at 47 ms TTFS, with 2.6% WER. TTS: Qwen3 TTS Fast at 67 ms TTFA, with 1.8% WER. Last measured .

Coval measures voice models created or hosted by Nari Labs.

Measured models
2
STTTTS
Best STT model#3 / 29
47ms
Qwen3 ASR Fast
Best TTS model#3 / 32
67ms
Qwen3 TTS Fast

Overview

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

Speech-to-Text
serves Qwen3 ASR Fast
Text-to-Speech
serves Qwen3 TTS Fast

Speech-to-Text

Full STT dashboard

Ranked on Time to Final Segment against 29 measured models.

Time to Final Segmentms · lower is better · Nari Labs models markedEvery measured STT model on Time to Final Segment, with Nari Labs's models highlighted.
  1. #1Qwen3 ASR 1.7b39 ms
  2. #2STT RT v545 ms
  3. #3Qwen3 ASR Fast47 ms
  4. #4STT 168 ms
  5. #5Nova 385 ms
  6. #6Nova 287 ms
  7. #7Parakeet TDT 0.6B v396 ms
leaders plus Nari Labs models · 22 other models in the full table
Word Error Rate% · lower is better · Nari Labs models markedEvery measured STT model on Word Error Rate, with Nari Labs's models highlighted.
  1. #1Universal 3.6 Pro2.2%
  2. #2Universal 3.5 Pro2.4%
  3. #3resonant-12.6%
  4. #4Qwen3 ASR Fast2.6%
  5. #5Qwen3 ASR 1.7b2.9%
  6. #6Gemini 3.5 Transcribe Live3.0%
  7. #7Chirp 33.2%
leaders plus Nari Labs models · 24 other models in the full table
Time to First Tokenms · lower is better · Nari Labs models markedEvery measured STT model on Time to First Token, with Nari Labs's models highlighted.
  1. #1Whisper Large v3via Baseten925 ms
  2. #2Qwen3 ASR 1.7b946 ms
  3. #3Universal 3.5 Pro1023 ms
  4. #4Universal 3.6 Pro1074 ms
  5. #5Flux1091 ms
  6. #6Flux Multilingual1166 ms
  7. #7STT 11167 ms
  8. #18Qwen3 ASR Fast1752 ms
leaders plus Nari Labs models · 19 other models in the full table
TTFS vs WER — Nari Labs vs every measured modelEach point is one measured STT model · Nari Labs models highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Nari Labs's models highlighted.
Qwen3 ASR 1.7b — 39 ms, 2.9%STT RT v5 — 45 ms, 4.8%STT 1 — 68 ms, 6.8%Nova 3 — 85 ms, 5.3%Nova 2 — 87 ms, 6.7%Parakeet TDT 0.6B v3 — 96 ms, 11.1%Flux Multilingual — 98 ms, 7.5%Flux — 99 ms, 5.8%Scribe v2 Realtime — 120 ms, 4.3%Whisper Large v3 via Baseten — 132 ms, 4.4%Universal 3.6 Pro — 134 ms, 2.2%Ink 2 — 149 ms, 3.6%Universal 3.5 Pro — 165 ms, 2.4%Whisper Large v3 via Together AI — 192 ms, 7.4%Pulse — 206 ms, 4.6%Grok STT — 222 ms, 4.2%resonant-1 — 251 ms, 2.6%Default — 262 ms, 8.7%Linden 1 — 275 ms, 3.9%Gemini 3.5 Transcribe Live — 323 ms, 3.0%Daytona STT — 399 ms, 4.9%Voxtral Mini Transcribe Realtime 2602 — 431 ms, 5.4%Solaria 1 — 534 ms, 6.1%GPT Realtime Whisper — 598 ms, 4.1%GPT-4o mini Transcribe — 712 ms, 3.9%Chirp 3 — 769 ms, 3.2%GPT-4o Transcribe — 784 ms, 3.7%Chirp 2 — 910 ms, 3.9%Qwen3 ASR Fast — 47 ms, 2.6%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
Qwen3 ASR FastNari Labs47 ms3rd of 29

Text-to-Speech

Full TTS dashboard

Ranked on Time to First Audio against 32 measured models.

Time to First Audioms · lower is better · Nari Labs models markedEvery measured TTS model on Time to First Audio, with Nari Labs's models highlighted.
  1. #1vui57 ms
  2. #2Default63 ms
  3. #3Qwen3 TTS Fast67 ms
  4. #4TTS Flash 288 ms
  5. #5Qwen3 TTS 1.7b107 ms
  6. #6Simba 3.0110 ms
  7. #7Palabra TTS121 ms
leaders plus Nari Labs models · 25 other models in the full table
Word Error Rate% · lower is better · Nari Labs models markedEvery measured TTS model on Word Error Rate, with Nari Labs's models highlighted.
  1. #1Sonic 3.61.5%
  2. #2S2.1 Pro Free1.5%
  3. #3Sonic 3.51.6%
  4. #4S2.1 Pro1.6%
  5. #5Lightning v3.1 Pro1.6%
  6. #6Simba 3.01.6%
  7. #7Chirp 3 HD1.6%
  8. #18Qwen3 TTS Fast1.8%
leaders plus Nari Labs models · 24 other models in the full table
TTFA vs WER — Nari Labs vs every measured modelEach point is one measured TTS model · Nari Labs models highlighted · 30-day averagesTime to First Audio against Word Error Rate for every measured TTS model, with Nari Labs's models highlighted.
vui — 57 ms, 2.1%Default — 63 ms, 1.9%TTS Flash 2 — 88 ms, 1.7%Qwen3 TTS 1.7b — 107 ms, 1.8%Simba 3.0 — 110 ms, 1.6%Palabra TTS — 121 ms, 2.7%Simba 3.2 — 125 ms, 2.0%drama3-preview — 185 ms, 1.9%TTS 2 — 186 ms, 1.6%Flash v2.5 — 193 ms, 1.9%Eleven v4 Turbo — 199 ms, 1.7%Flux TTS — 204 ms, 1.7%TTS RT v1 — 255 ms, 2.5%TTS Rt v2 — 257 ms, 2.4%Phantom Z 3.4 conversational — 267 ms, 1.9%Falcon 2 — 282 ms, 1.7%Mist v3 — 287 ms, 2.1%Sonic 3.5 — 292 ms, 1.6%Aura 2 — 297 ms, 1.9%Sonic 3.6 — 297 ms, 1.5%Coda — 332 ms, 9.5%S2.1 Pro — 343 ms, 1.6%Grok TTS — 361 ms, 1.6%S1 — 391 ms, 1.8%Lightning v3.1 Pro — 392 ms, 1.6%Daytona TTS — 485 ms, 1.7%Aura 2 En — 565 ms, 2.1%Chirp 3 HD — 599 ms, 1.6%Qwen3 TTS Flash Realtime — 719 ms, 3.0%S2.1 Pro Free — 849 ms, 1.5%GPT-4o mini TTS — 2568 ms, 1.8%Qwen3 TTS Fast — 67 ms, 1.8%
Benchmarked models with their Time to First Audio over the last 30 days.
ModelHostTTFARank
Qwen3 TTS FastNari Labs67 ms3rd of 32

How fast are Nari Labs's STT and TTS models?

Qwen3 ASR Fast measures mean 47 ms time to final segment (3rd of 29) among STT systems. Last measured 2026-10-16. Qwen3 TTS Fast measures mean 67 ms time to first audio (3rd of 32) among TTS systems. Last measured 2026-10-16.

How accurate are Nari Labs's STT and TTS models?

Qwen3 ASR Fast measures 2.6% word error rate (4th of 31) among STT systems. Last measured 2026-10-16. Qwen3 TTS Fast measures 1.8% word error rate (18th of 32) among TTS systems. Last measured 2026-10-16.

Which Nari Labs model is fastest?

Its fastest dated STT result is Qwen3 ASR Fast at mean 47 ms time to final segment (3rd of 29) among STT systems, with 2.6% WER. Last measured 2026-10-16. Its fastest dated TTS result is Qwen3 TTS Fast at mean 67 ms time to first audio (3rd of 32) among TTS systems, with 1.8% WER. Last measured 2026-10-16.

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