81.7%
ReliabilityReliability
1st of 12
1.34s
Median replyMedian response time
1st of 12
$0.080
Cost / minCost per minute
5th of 9
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.
Grok Voice 3.0 falls furthest behind on interruptions and barge-in: 87% passed, against a median of 90%.
Fields it got wrong most: zip_code, route_id, lead_id
Grok Voice 3.0 starts replying in 1.34s on a typical turn and 1.74s on the slowest turn in twenty, 1st fastest of 12 at the median.
246 live calls: 82 scenarios, each run three times. The median call ran 1:31.
82 scenarios, the same for every model. See every test case
Grok Voice 3.0 passed 67 of 82 scenarios on all three runs, 81.7%, 1st of 12 realtime models. Across all 246 calls, 86.6% passed every check.
Grok Voice 3.0 passed 67 of 82 scenarios on all three runs, 81.7%, 1st of 12 realtime models. Across all 246 calls, 86.6% passed every check.
Grok Voice 3.0 starts replying 1.34s after the caller finishes at the median, 1.62s at P90 and 1.74s at P95. That is 1st fastest of 12 at the median, measured on the call audio.
Grok Voice 3.0 falls furthest behind the field on interruptions and barge-in: 87% of calls passed, against a median of 90%. When it saved data wrong, the most common mistake was field left out, 64% of them.
Grok Voice 3.0 saved everything exactly right on 87.3% of the calls that save data, 3rd of 12. On Booking calls, 98.2%. On Medicare calls, 59.1%.
$0.080 a minute of call at xAI's published rates, 5th cheapest of 9 priced models. Excludes a text-input charge the vendor lists without a unit.
Cekura ran Grok Voice 3.0 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 Grok Voice 3.0. A call passes only when the agent said the right things and saved the right data.