First prenatal visit
HealthcareFinished the task
Handled well: Emotion Recognition, Overlapping-Speech Recovery, Consent Verification
Struggled with: Cancellation Handling
Listen to the call1030
ELOELO Rating
5th of 12
31.4%
Pass³Reliability (Pass³)
6th of 12
1.99s
LatencyLatency P50
4th of 12
Higher wins more head-to-head calls (1000 = average); further left replies faster
Each model took the same recorded human callers on live calls. Pick a measure to see where Phonic-1 ranks.
Rating from head-to-head calls: on every call each pair of models is compared, the better call wins. 1000 is the average model. Higher is better.
Pick a skill family. The shape is this model on every skill in it; the dashed line is the median of the other models.
Share of calls where the skill was needed and handled, strongest first. Hover a point on the chart for both values.
Banking and healthcare callers. Each shows what the caller needed, what made the call hard, and how the model handled it.
Finished the task
Handled well: Emotion Recognition, Overlapping-Speech Recovery, Consent Verification
Struggled with: Cancellation Handling
Listen to the callFinished the task
Handled well: Side-Speech Rejection, Tool-Latency Handling, Mid-Utterance Pause Tolerance
Listen to the callFinished 5 of 7 steps
Handled well: Multi-Speaker Handling, Overlapping-Speech Recovery, Correction Handling
Struggled with: Degraded-Channel Robustness
Listen to the callFinished the task
Handled well: Degraded-Channel Robustness, Backchannel vs Barge-in Detection, Consent Verification
Struggled with: Entity Extraction Accuracy
Listen to the callFinished 5 of 7 steps
Handled well: Prosodic Cue Understanding, Mid-Utterance Pause Tolerance, Consent Verification
Struggled with: Low-Confidence Confirmation
Listen to the callFinished 5 of 7 steps
Handled well: Waiting Through Hold, Backchannel vs Barge-in Detection, Human Handoff
Listen to the callFinished the task
Handled well: Tool-Latency Handling, Mid-Utterance Pause Tolerance, Redundant Re-prompt Avoidance
Struggled with: Premature-Response Avoidance
Listen to the callFinished 2 of 6 steps
Handled well: Tool-Latency Handling, Redundant Re-prompt Avoidance, Numeric Read-back
Struggled with: Consent Verification, Hallucinated-Success Avoidance
Listen to the callFinished 2 of 5 steps
Handled well: Prosodic Cue Understanding, Endpointing, Premature-Response Avoidance
Struggled with: Multi-Speaker Handling
Listen to the callFinished the task
Handled well: Side-Speech Rejection, Backchannel vs Barge-in Detection, Correction Handling
Struggled with: Low-Confidence Confirmation, Consent Verification
Listen to the callPhonic-1 starts replying in 1.99s on a typical turn and 2.40s on the slowest turn in twenty, 4th fastest of 12 at the median.
210 live calls: 70 scenarios, each run three times. The median call ran 4:23.
70 scenarios, the same for every model.
Phonic-1 has an ELO rating of 1030, 5th of 12 ranked models. It passed 22 of 70 callers on all three runs, a Pass³ of 31.4%.
Phonic-1 has an ELO rating of 1030, 5th of 12 ranked models. It passed 22 of 70 callers on all three runs, a Pass³ of 31.4%.
Phonic-1 starts replying 1.99s after the caller finishes at P50, 2.32s at P90 and 2.40s at P95: 4th fastest of 12 at P50, measured on the call audio.
Phonic-1 falls furthest behind on Language Switching: 32%, against a median of 67%.
Phonic-1 has a task completion rate of 24.8%, 5th of 12. A call counts only when every step the caller needed was done.
There is no verified per-minute rate for Phonic-1, so it is left out of the cost ranking.
Cekura ran Phonic-1 as the whole agent with the same prompt, tools and phone connection as every other model. It took the same 70 recorded real human callers on live calls, three times each (210 calls), and each call was graded on 25 skills across Hearing, Turn Taking, Task Handling and Speaking.
Cekura runs these simulated calls on your agent and scores every one.