TTFT-First Benchmark for Voice Agents
Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark
This benchmark helps developers in ASEAN choose the most performant voice APIs for real-time applications by comparing actual latency measurements.
The benchmark evaluates latency across voice stack components including LLM, speech-to-text, text-to-speech, and speech-to-speech APIs. All figures were verified against primary sources on 30 Aug 2026, with each number labeled as independently measured, vendor-published, or vendor-measured. Time to first token is identified as the primary metric teams use for selecting inference APIs, though it's noted as just a starting point.
Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark
Voice agents fail on latency long before they fail on intelligence. Time to first token is the metric most teams use to choose an inference API, and it is the right starting point and the wrong stopping point. This benchmark works through every layer of the voice stack — LLM, speech-to-text, text-to-speech, and speech-to-speech — using figures verified against primary sources on August 30, 2026, with each number labeled as independently measured, vendor-published, or vendor-measured on its own product. The post Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark appeared first on MarkTechPost .
