Summary
According to a post on X by @retellai, Retell AI has introduced Tell-1, a large language model built for contact centers. Retell says Tell-1 uses interleaved reasoning, meaning it answers first and reasons while it speaks, working out which business rule applies, what information is missing and whether to call a tool. The company reports a 94.4% average on its own vCX benchmark, where it ranks first, along with about 150 ms to first token and $0.035 per minute. The snippet is cut off, so further details are not available here.
AI-assisted summary based on the listed source.
What happened
Retell says Tell-1 uses interleaved reasoning: it answers first and reasons while it speaks, working out which business rule applies, what information is missing and whether to call a tool. Retell reports a 94.4% average on its own vCX benchmark (#1), about 150 ms to first token and $0.035 per minute,...
Why it matters
Teams building voice agents for customer service may want to compare Tell-1's reported latency and per-minute price against their current options. Because these figures come from Retell's own benchmark and announcement, independent testing will be needed before they can be relied on. Watch for third-party evaluations and pricing details that show how Tell-1 performs on real customer calls.
Signal Intelligence
Signal Strength 91%
Technical label WATCH
Public Interest 49
Category RESEARCH
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 64
Novelty Interest Score 94
Consequence Score 34
Curiosity Score 64
Shareability Score 57
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Voice, connected to Scobleizer News Pulse (X).
