MarkTechPost published a benchmark of inference APIs for voice and real-time agents. At the center of the analysis is Time To First Token (TTFT), which teams often use when selecting APIs.
The material examines four layers of the voice stack: large language models, speech recognition, speech synthesis, and speech-to-speech transformation. The description states that the results were cross-checked against primary sources 30 August 2026 year, and the provenance of each figure was indicated separately.
The source package does not contain the numeric results themselves, the list of participants, or a final ranking. Therefore it confirms the methodological scope of the benchmark but does not permit naming the fastest API.
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Why it matters
An likely practical consequence is that teams will gain a more complete framework for evaluating the responsiveness of voice agents if published measurements are available and comparable. The next verifiable signal will be the full list of tests, APIs, and numerical results. A substantive uncertainty is that only a brief description of a single source without the data is currently available.