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Google Neural2 Google · text-to-speech (TTS) API

Listener Elo 894 ±12 on Artificial Analysis (read October 22, 2026); latency not measured.

Benchmark summary: No speed tier: Coval, the source of the tiers, does not measure this model.

Google Neural2 is a proprietary text-to-speech (TTS) API from Google, measured by one independent benchmark, Artificial Analysis.

Speed tier

Not measured by Coval

No speed tier: Coval, the source of the tiers, does not measure this model.

Median time to first audioCoval, 30 days
—
P95 time to first audio (slow turns)Coval, 30 days
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Naturalness EloSpeko
not rated
Listener Elo (95% interval)Artificial Analysis
894 ±12
Numbers and dates (0 to 1)Speko
not rated
List price per 1M charactersall sources
$16
  • Customer service (Artificial Analysis): 84th, Elo 971 ±34

Data read October 22, 2026. No combined score: methodology

Gradium TTS vs Google Neural2 Fastest TTS APIs, by speed tier

Speed

Neither Coval nor Speko measures Google Neural2's latency, so it has no speed tier and does not appear in the speed tiers.

Voice quality

In the Artificial Analysis Speech Arena it holds 894 ±12 Elo (95% interval), 93rd highest of the 98 models Artificial Analysis rates; scores whose intervals overlap are a tie. In its Customer Service category, Artificial Analysis places it 84th, at 971 Elo.

Numbers and dates

Speko has not scored its pronunciation of numbers and dates.

Price

Artificial Analysis lists $16. List prices, as each source prints them.

Benchmark measurements

Artificial Analysis Speech Arena

Customer service rank
84
Customer service Elo
971
Customer service Elo 95% interval (±)
34
Speech Arena Elo (blind listener preference)
894
Elo 95% interval (±)
12
Arena rank
93
Arena rank range
91-95
Arena appearances
6,598
Voices tested
8
Price per 1M characters
16 USD
Released
Jun 2022
Artificial Analysis model
Neural2
Artificial Analysis leaderboard
artificialanalysis.ai

Price (all sources)

Lowest list price per 1M characters
16 USD
Highest list price per 1M characters
16 USD

Not collected

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