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Rime arcanav3 Rime · text-to-speech (TTS) API

Listed

238 ms P50 time-to-first-audio on Speko; ranked 55th (tied) of 112 in the TTS for Voice Agents 2026 index.

Benchmark summary: 8.1/100, ranked 55th (tied) of 112 in the TTS for Voice Agents 2026 index (Listed). Strongest criterion: accuracy, 3.9 of 15 points.

Rime arcanav3 is a text-to-speech (TTS) API from Rime, measured by one independent benchmark, Speko.

Overall score

8.1 /100

55 th of 112

Score breakdown

  • Real-time speed 1.4 /60
  • Voice quality 1.5 /20
  • Accuracy 3.9 /15
  • Price 1.3 /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 Rime arcanav3 Compare with StepFun Step TTS 2 (Mar 2026)

Rime arcanav3 ranks 55th of 112 in the 2026 text-to-speech (TTS) API benchmark, with a score of 8.1/100.

Real-time latency

Speko measures a P50 TTFA of 238 ms from US East (n=30), dated July 3, 2026: 15th lowest of the 29 models Speko measures.

Accuracy (word error rate)

Speko rates its pronunciation robustness on numbers, dates and currency at 0.35 on a 0-to-1 scale (11th highest of the 28 models Speko rates).

Voice quality

Speko rates its naturalness at 1,429 Elo from blind A/B votes (35th highest of the 41 models Speko rates).

Price

Speko lists a cost of about $40 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 (0.5, then 0.35): the score uses the average, 0.425. 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

Speko

P50 TTFA, US East
238 ms
Naturalness (Elo)
1,429
Head-to-head win rate
36%
Pronunciation robustness (0 to 1)
0.35
Voice drift (lower is steadier)
21
Price per 1M characters
40 USD
Measured on
2026-07-03
Speko model
arcanav3
Speko model page
benchmarks.speko.ai

Not collected

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