68.3%
ReliabilityReliability
6th of 14
1.34s
Median replyMedian response time
1st of 14
Higher and further left is better
For the wider field, see our pick of the best voice AI APIs for real-time audio.
Scenarios that passed on all 3 runs, pass³. Higher is better.
Rime Prism passed 88.7% of booking calls and 63.8% of Medicare calls.
Fields it got wrong most: route_id, lead_id, consent_id
Half of Rime Prism's replies start within 1.34s of the caller finishing, and 19 in 20 within 1.65s. That is the fastest of 14.
Half of replies
P50
9 in 10 replies
P90
19 in 20 replies
P95
246 live calls: 82 scenarios, each run three times. The median call ran 1:33.
82 scenarios, the same for every model. See every test case
Rime Prism passed 56 of 82 scenarios on all three runs, 68.3%, 6th of 14 realtime models. Across all 246 calls, 81.7% passed every check.
Rime Prism passed 56 of 82 scenarios on all three runs, 68.3%, 6th of 14 realtime models. Across all 246 calls, 81.7% passed every check.
Rime Prism starts replying 1.34s after the caller finishes at the median, 1.57s at P90 and 1.65s at P95. That is 1st fastest of 14 at the median, measured on the call audio.
When it saved data wrong, the most common mistake was wrong value, 39% of them.
Rime Prism saved everything exactly right on 84.5% of the calls that save data, 6th of 14. On Booking calls, 92.4%. On Medicare calls, 64.2%.
There is no verified per-minute rate for Rime Prism, so it is left out of the cost ranking.
Cekura ran Rime Prism as the whole agent in the same open-source Pipecat pipeline as every other model, with the same prompt, tools and connection. A simulated caller worked through 82 scenarios on live calls, three times each: 246 calls for Rime Prism. A call passes only when the agent said the right things and saved the right data.
Cekura runs these simulated calls on your agent and scores every one.