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AssemblyAI's first text-to-speech model, AssemblyAI-TTS-1, goes live on OpenRouter

According to a post on X by @OpenRouter, AssemblyAI's first text-to-speech model, AssemblyAI-TTS-1, is now live on OpenRouter. The model is built for voice agents and offers more than 4,000 voices. Citing a benchmark from Cekura, the post says it lands in the best quadrant for speed and accuracy and has the highest naturalness among models priced at $15 per million characters or less. The excerpt is truncated, so the full benchmark method and results are not shown.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-29T00:40:00+00:00 Detected 2026-10-29T05:26:48+00:00
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According to a post on X by @OpenRouter, AssemblyAI's first text-to-speech model, AssemblyAI-TTS-1, is now live on OpenRouter. The model is built for voice agents and offers more than 4,000 voices. Citing a benchmark from Cekura, the post says it lands in the best quadrant for speed and accuracy and has the highest naturalness among models priced at $15 per million characters or less. The excerpt is truncated, so the full benchmark method and results are not shown.

AI-assisted summary based on the listed source.

AssemblyAI-TTS-1 is built for voice agents and offers more than 4,000 voices. Per Cekura's benchmark, it lands in the best quadrant for speed and accuracy and has the highest naturalness among models at $15 per million characters or less. Also: https://x.com/AssemblyAI/status/2115544033871417831 <a...

Developers building voice agents may now be able to test AssemblyAI-TTS-1 through OpenRouter alongside other models. The benchmark claims come from Cekura and the post itself, so teams would need to run their own tests on speed, accuracy and naturalness. Watch for full pricing details and independent benchmark results.

Treat this as research or capability evidence, not a product promise; inspect the source before applying it.

Signal Strength 95% Technical label WATCH Public Interest 61 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 51 Practical Impact Score 64 Novelty Interest Score 94 Consequence Score 34 Curiosity Score 48 Shareability Score 68

VQV surfaced this signal because it is recent, relevant to AI Voice, connected to Scobleizer News Pulse (X).