Ranking #1 on cost, intelligence, and latency for contact centers, thinking while it speaks.
Model Architecture
Most voice agents pause to think. Over a whole call, that sounds robotic.
Tell-1 answers right away and reasons while it speaks: which rule applies, what is missing, when to call a tool.
Read the technical blog →Evals
Top five on all four skills in the Retell vCX benchmark. First for sounding natural.
Across all four skills, the top average on the board.
Average Retell vCX score against median time to first sentence (P50, ms)
The score averages tool calling, hallucination, instruction following and colloquial accuracy. Source: bench.retellai.com, read Nov 12, 2026.
Third-party Benchmarks
Results from independent voice AI testing teams.
Score out of 100, same greedy decoding on every run. None were used in training.
Cekura Retell, running Tell-1, ranked first of 10 voice platforms for reliability.
See Cekura's benchmark →
Bluejay Ranks the LLMs behind phone agents on healthcare, legal and support calls.
See Bluejay's benchmark →
Hamming Grades the LLMs behind voice agents on response time, price, logic, phrasing and security.
See Hamming's benchmark →At Scale
A contact center can have a thousand intents, each with its own SOP.
Tell-1 identifies the right SOP, follows it step by step and brings the caller back when they drift.
No trade-off between latency, intelligence and cost.
Tell-1 runs next to your voice agent on Retell's own inference stack, averaged 94.4% on the Retell vCX benchmark, and is built to keep latency and cost steady at a million calls a month.