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Rime Mist V2 Rime · text-to-speech (TTS) API

Listener Elo 904 ±15 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.

Rime Mist V2 is a proprietary text-to-speech (TTS) API from Rime, 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
—
Naturalness EloSpeko
not rated
Listener Elo (95% interval)Artificial Analysis
904 ±15
Numbers and dates (0 to 1)Speko
not rated
List price per 1M charactersall sources
$31.1
  • Customer service (Artificial Analysis): 92nd, Elo 925 ±52

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

Gradium TTS vs Rime Mist V2 Fastest TTS APIs, by speed tier

Speed

Neither Coval nor Speko measures Rime Mist V2'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 904 ±15 Elo (95% interval), 91st highest of the 98 models Artificial Analysis rates; scores whose intervals overlap are a tie. In its Customer Service category, Artificial Analysis places it 92nd, at 925 Elo.

Numbers and dates

Speko has not scored its pronunciation of numbers and dates.

Price

Artificial Analysis lists $31.1. List prices, as each source prints them.

Benchmark measurements

Artificial Analysis Speech Arena

Customer service rank
92
Customer service Elo
925
Customer service Elo 95% interval (±)
52
Speech Arena Elo (blind listener preference)
904
Elo 95% interval (±)
15
Arena rank
91
Arena rank range
89-94
Arena appearances
2,963
Voices tested
7
Price per 1M characters
31.1 USD
Released
Mar 2025
Artificial Analysis model
Mist V2
Artificial Analysis leaderboard
artificialanalysis.ai

Price (all sources)

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

Not collected

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