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async Flash v1.0 Async · text-to-speech (TTS) API

Listed

Speech Arena Elo 1,049 on Artificial Analysis, latency not measured; ranked 69th (tied) of 112 in the TTS for Voice Agents 2026 index.

Benchmark summary: 5.8/100, ranked 69th (tied) of 112 in the TTS for Voice Agents 2026 index (Listed). Strongest criterion: price, 2.1 of 5 points.

async Flash v1.0 is a proprietary text-to-speech (TTS) API from Async, measured by one independent benchmark, Artificial Analysis.

Overall score

5.8 /100

69 th of 112

Score breakdown

  • Real-time speed 0 /60
  • Voice quality 3.7 /20
  • Accuracy 0 /15
  • Price 2.1 /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 async Flash v1.0 Compare with StepFun Step Audio EditX (Mar 2026)

async Flash v1.0 ranks 69th of 112 in the 2026 text-to-speech (TTS) API benchmark, with a score of 5.8/100.

Real-time latency

Neither Coval nor Speko measures async Flash v1.0's latency, so it scores 0 of 60 on real-time speed and does not appear in the real-time ranking.

Accuracy (word error rate)

No accuracy measurement: Coval does not measure its word error rate and Speko does not rate its pronunciation robustness, so accuracy counts 0 of 15.

Voice quality

In the Artificial Analysis Speech Arena (capture of October 1, 2026), async Flash v1.0 has an Elo of 1,049 (±12, 95% confidence) from 3,962 blind comparisons, 58th highest of the 92 models Artificial Analysis rates.

Price

Artificial Analysis lists async Flash v1.0 at $10.1 per 1M characters (12th lowest of the 78 models Artificial Analysis lists a price for).

Benchmark measurements

Artificial Analysis Speech Arena

Speech Arena Elo (blind listener preference)
1,049
Elo 95% interval (±)
12
Arena rank
58
Arena rank range
53-62
Arena appearances
3,962
Voices tested
8
Price per 1M characters
10.1 USD
Released
Jul 2025
Artificial Analysis model
Async Flash v1.0
Artificial Analysis leaderboard
artificialanalysis.ai

Not collected

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