AgentsAugust 30, 2026via MarkTechPost
Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark
Why it matters
Practitioners building voice agents need latency benchmarks across the full stack (LLM + STT + TTS + speech-to-speech), not just model inference. This benchmark fills that gap with verified measurements, directly affecting API choice and user experience.
Key signals
- Benchmark date: August 30, 2026
- Metrics measured across full voice stack: LLM latency, speech-to-text, text-to-speech, speech-to-speech
- Time to first token (TTFT) identified as primary selection metric for voice agent APIs
- Measurements include independently measured, vendor-published, and vendor-measured data points
- Focus on realtime agents and voice as the primary use case
The hook
Voice agents fail on latency long before they fail on intelligence. New benchmark shows which inference APIs actually ship sub-500ms TTFT.
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…