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Cartesia Sonic 3.6 Cartesia · text-to-speech (TTS) API

Contender

347.9 ms P50 time-to-first-audio on Coval; ranked 16th of 112 in the TTS for Voice Agents 2026 index.

Benchmark summary: 45.9/100, ranked 16th of 112 in the TTS for Voice Agents 2026 index (Contender). Strongest criterion: voice quality, 17.4 of 20 points.

Cartesia Sonic 3.6 is a proprietary text-to-speech (TTS) API from Cartesia, measured by three independent benchmarks: Artificial Analysis, Coval and Speko.

Overall score

45.9 /100

16 th of 112

Score breakdown

  • Real-time speed 21.5 /60
  • Voice quality 17.4 /20
  • Accuracy 5.4 /15
  • Price 1.6 /5

Data checked on September 30, 2026

Updated after each benchmark capture

Every point comes from a public benchmark: sources · methodology

Gradium TTS Beta vs Cartesia Sonic 3.6 Compare with Alibaba Qwen3 TTS 1.7b

Cartesia Sonic 3.6 ranks 16th of 112 in the 2026 text-to-speech (TTS) API benchmark, with a score of 45.9/100.

Real-time latency

On Coval's 30-day window ending October 1, 2026 (11,856 runs), Cartesia Sonic 3.6 has a P50 (median) time-to-first-audio (TTFA) of 347.9 ms, 21st lowest of the 31 models Coval measures. Its P99, the slowest 1% of turns, is 840 ms (22nd lowest of the 31 models Coval measures). Latency consistency: a standard deviation of 117.6 ms (15th lowest of the 31 models Coval measures). Mean time to first byte (TTFB) is 235.7 ms. Speko measures a P50 TTFA of 120 ms from US East (n=30), dated August 28, 2026: 10th lowest of the 29 models Speko measures.

Accuracy (word error rate)

Coval measures an accuracy (word error rate) of 5.2% over 11,836 samples on the same window, 20th lowest of the 31 models Coval measures. Speko rates its pronunciation robustness on numbers, dates and currency at 0.21 on a 0-to-1 scale (20th highest of the 28 models Speko rates).

Voice quality

In the Artificial Analysis Speech Arena (capture of October 1, 2026), Cartesia Sonic 3.6 has an Elo of 1,273 (±16, 95% confidence) from 2,093 blind comparisons, 2nd highest of the 92 models Artificial Analysis rates. Speko rates its naturalness at 1,578 Elo from blind A/B votes (11th highest of the 41 models Speko rates).

Price

Artificial Analysis lists Cartesia Sonic 3.6 at $49 per 1M characters (54th lowest of the 78 models Artificial Analysis lists a price for). Speko lists a cost of about $50 per 1M characters.

Scoring note

Artificial Analysis changed its Speech Arena Elo between the captures of September 30, 2026 and October 1, 2026 without a new measurement date (1,275, then 1,273): the score uses the average, 1,274. The value shown is the latest. Speko changed its pronunciation robustness between the captures of September 30, 2026 and October 1, 2026 without a new measurement date (0.5, then 0.21): the score uses the average, 0.355. The value shown is the latest.

Languages tested

Tested in Spanish, German, French, Portuguese, Japanese, Chinese, Arabic, Hindi and Vietnamese by Artificial Analysis or Speko. A language missing here was not tested, which does not mean it is unsupported.

Benchmark measurements

Latency and accuracy — Coval (30-day window)

Mean TTFA
377.2 ms
P50 / median time-to-first-audio (TTFA)
347.9 ms
P90 TTFA
533.8 ms
P95 TTFA
600.2 ms
P99 TTFA (slowest turns)
840 ms
Latency consistency (standard deviation)
117.6 ms
Leading silence
141.6 ms
Time to first byte (network arrival)
235.7 ms
Accuracy: word error rate (WER)
5.2%
WER basis
per-clip mean
Latency runs
11,856 runs
Accuracy runs
11,836 runs
Window
30d
Coval snapshot
2026-10-01T10:11:47.318752Z
Coval model ID
sonic-3.6
Coval model page
benchmarks.coval.ai

Speko

P50 TTFA, US East
120 ms
Naturalness (Elo)
1,578
Pronunciation robustness (0 to 1)
0.21
Voice drift (lower is steadier)
10
Price per 1M characters
50 USD
Measured on
2026-08-28
Speko model
sonic-3.6
Speko model page
benchmarks.speko.ai

Artificial Analysis Speech Arena

Speech Arena Elo (blind listener preference)
1,273
Elo 95% interval (±)
16
Arena rank
2
Arena rank range
2-4
Arena appearances
2,093
Voices tested
8
Price per 1M characters
49 USD
Released
Aug 2026
Artificial Analysis model
Sonic 3.6
Artificial Analysis leaderboard
artificialanalysis.ai

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