AINewsnow

Voice AI Cost Per Minute: Realtime vs Pipeline

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

Ten minutes of speech-to-speech conversation costs $6.90 in model tokens when prompt caching misses and $0.93 when it holds — a 7.4× spread on identical audio. Run as a cascade of Deepgram Nova-3, gpt-5.6-luna and Aura-2, the same conversation costs $0.22. Architecture sets the bill, not the rate c…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-09-10 15:27 · DEV Community — Machine Learning
    Voice AI Cost Per Minute: Realtime vs Pipeline

More stories

  1. Introducing Astra for Law — OpenAI News
  2. Sources: Anthropic considers releasing a new AI model to counter OpenAI's momentum since Astra's launch, ahead of an IPO and after Amodei's call for a slowdown (Reuters) — Techmeme
  3. Meet the Data Agent in ChatGPT Work — OpenAI YouTube
  4. OpenAI staff knew the ‘existential threat’ AI posed to publishers, New York Times claims — Financial Times AI
  5. How Cooley is accelerating IPO work with ChatGPT — OpenAI News
  6. OpenAI launches Astra for Law, a GPT-6 configuration for legal research — SiliconANGLE AI
  7. Deployed Qwen 3.6 35B A3B on a single DGX Spark supporting 12 concurrent users at 262K context. Are there better ways to optimize this? — r/LocalLLM
  8. Gemini 4 Pro vs Gemini 3.8 Flash (Pelican Riding a Bicycle SVG) — r/GeminiAI

Get the daily brief of stories like this at 6:30 every morning →