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Deepgram Aura 2 Deepgram · text-to-speech (TTS) API

Contender

287.9 ms P50 time-to-first-audio on Coval; ranked 20th of 112 in the TTS for Voice Agents 2026 index.

Benchmark summary: 42.8/100, ranked 20th of 112 in the TTS for Voice Agents 2026 index (Contender). Strongest criterion: real-time speed, 27.9 of 60 points.

Deepgram Aura 2 is a proprietary text-to-speech (TTS) API from Deepgram, measured by two independent benchmarks: Coval and Speko.

Overall score

42.8 /100

20 th of 112

Score breakdown

  • Real-time speed 27.9 /60
  • Voice quality 8 /20
  • Accuracy 5.4 /15
  • Price 1.5 /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 Deepgram Aura 2 Compare with Smallest.ai Lightning V3.1 Pro (Jul 2026)

Deepgram Aura 2 ranks 20th of 112 in the 2026 text-to-speech (TTS) API benchmark, with a score of 42.8/100.

Real-time latency

On Coval's 30-day window ending October 1, 2026 (11,781 runs), Deepgram Aura 2 has a P50 (median) time-to-first-audio (TTFA) of 287.9 ms, 16th lowest of the 31 models Coval measures. Its P99, the slowest 1% of turns, is 576 ms (19th lowest of the 31 models Coval measures). Latency consistency: a standard deviation of 140.8 ms (17th lowest of the 31 models Coval measures). Mean time to first byte (TTFB) is 109.2 ms. Speko measures a P50 TTFA of 125 ms from US East (n=30), dated July 3, 2026: 12th lowest of the 29 models Speko measures.

Accuracy (word error rate)

Coval measures an accuracy (word error rate) of 5.1% over 11,761 samples on the same window, 19th lowest of the 31 models Coval measures. Speko rates its pronunciation robustness on numbers, dates and currency at 0.2 on a 0-to-1 scale (22nd highest of the 28 models Speko rates).

Voice quality

Speko rates its naturalness at 1,584 Elo from blind A/B votes (9th highest of the 41 models Speko rates).

Price

Speko lists a cost of about $30 per 1M characters.

Scoring note

Speko changed its pronunciation robustness between the captures of September 30, 2026 and October 1, 2026 without a new measurement date (0.41, then 0.2): the score uses the average, 0.305. The value shown is the latest.

Languages tested

Tested in Spanish, German and French 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
302.3 ms
P50 / median time-to-first-audio (TTFA)
287.9 ms
P90 TTFA
489.1 ms
P95 TTFA
525 ms
P99 TTFA (slowest turns)
576 ms
Latency consistency (standard deviation)
140.8 ms
Leading silence
193.2 ms
Time to first byte (network arrival)
109.2 ms
Accuracy: word error rate (WER)
5.1%
WER basis
per-clip mean
Latency runs
11,781 runs
Accuracy runs
11,761 runs
Window
30d
Coval snapshot
2026-10-01T10:11:47.318752Z
Coval model ID
aura-2-thalia-en
Coval model page
benchmarks.coval.ai

Speko

P50 TTFA, US East
125 ms
Naturalness (Elo)
1,584
Head-to-head win rate
65%
Pronunciation robustness (0 to 1)
0.2
Voice drift (lower is steadier)
9
Price per 1M characters
30 USD
Measured on
2026-07-03
Speko model
aura-2
Speko model page
benchmarks.speko.ai

Not collected

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