
Author
Developer Evangelist
Sonam is a San Francisco-based developer advocate, originally from India. She has completed 2 Master's Degrees and her PhD in Data Science from the Harrisburg University of Science & Technology. Previously, Sonam worked for the startups Ozmosi and aiXplain. In her free time, you will find Sonam dancing, writing, and exploring local coffee shops.
Everything Sonam has published, most recent first.
We benchmarked GLM-5.3 latency across Telnyx, Baseten, Together AI, and Fireworks using the same 60 prompts. Telnyx delivered the lowest median completed-response time in five of six workloads and the lowest observed p95 E2E in all six.

Learn about voice AI latency, benchmark response time, and how it is measured end to end for real phone calls.
A head-to-head latency benchmark of three leading inference providers across 540 streamed requests.

This report compares GLM 5.2 inference latency across Telnyx, Baseten, Together AI, and Fireworks using the same six prompt profiles and 10 streamed runs per provider/profile cell.
GLM-5.3-Flash inference benchmarks comparing Telnyx, Baseten, Together AI, and Fireworks on throughput and completion reliability.
DeepSeek V4 Flash inference benchmarks comparing Telnyx StatefulActor, Baseten, Fireworks, and Together AI on E2E latency and throughput.
How Telnyx stateful actors cut TTFT by 67% for MiniMax M3 and 32% for GLM 5.2 in repeatable LLM inference latency benchmarks, and why stateful compute fits production AI workflows.
We benchmarked MiniMax M3 across Telnyx, Together AI, and Fireworks. Same model, same prompts, same streaming setup. Telnyx delivered the fastest E2E latency, 21% higher throughput, and the most consistent performance.