GPT Realtime
- Strength
- Second-fastest response at 1.58s with 95.53% infrastructure-clean calls.
- What can be improved
- In a noisy-audio run, a long pause was followed by lost digits and a skipped tool action.
- gpt-realtime-2.1
PolyAI is ahead on repeatable reliability, task completion, infrastructure reliability, tool call accuracy and interruption handling, and GPT Realtime on voice tone and clarity and response time.
Last updated Methodology by Luis Ojeda
Pick GPT Realtime for how the agent sounds (0.28 higher) and fast replies (0.89s faster). Pick PolyAI for reliability across repeated runs (23.17 points higher), completing the caller's task (6.10 points higher), calls that connect and stay up (3.66 points higher), accurate tool calls (0.11 higher) and handling interruptions (0.01 higher).
Bars share one scale across all 10 platforms. The place next to each figure is its rank in the field.
Share of the 82 scenarios that passed on all three runs.
PolyAI, 23.17 points higher
Calls where the expected outcome was fully reached.
PolyAI, 6.10 points higher
Calls with no connection, audio or platform failure.
PolyAI, 3.66 points higher
Mean score for calling the right tool with the right arguments.
PolyAI, 0.11 higher
Mean score for how clear and natural the agent sounds.
GPT Realtime, 0.28 higher
Mean score for yielding and recovering when the caller cuts in.
PolyAI, 0.01 higher
Mean time for the agent to start replying after the caller stops.
GPT Realtime, 0.89s faster
246 calls per platform: 82 scenarios, 3 runs each.
PolyAI is more reliable, by 23.17 points. GPT Realtime passed 64.63% of the 82 scenarios on all 3 runs and PolyAI passed 87.80%. A scenario only counts when every run of it passed.
PolyAI is more reliable, by 23.17 points. GPT Realtime passed 64.63% of the 82 scenarios on all 3 runs and PolyAI passed 87.80%. A scenario only counts when every run of it passed.
GPT Realtime starts replying sooner, 0.89s faster. Mean response time is 1.58s for GPT Realtime and 2.46s for PolyAI.
GPT Realtime reached the expected outcome on 92.68% of calls and PolyAI on 98.78%. PolyAI is ahead on task completion.
Both ran the same Appointment and Medicare agents through the same 82 caller scenarios, 3 times each, with the same evaluators and mock tools. Only the platform and its speech and model components changed.
Cekura runs these simulated calls on your agent and scores every one.