Pipecat
- Strength
- A 1.97s response time with 94.21% task completion across 242 scored calls.
- What can be improved
- Routing completed, but the returned route ID was omitted from the handoff.
- nova-3-general
- gpt-4.1
- sonic-3.5
Retell is ahead on repeatable reliability, infrastructure reliability, tool call accuracy, voice tone and clarity and interruption handling, and Pipecat on task completion and response time.
Last updated Methodology by Luis Ojeda
Pick Pipecat for completing the caller's task (0.33 points higher) and fast replies (0.24s faster). Pick Retell for reliability across repeated runs (12.20 points higher), calls that connect and stay up (1.22 points higher), accurate tool calls (0.26 higher), how the agent sounds (0.62 higher) and handling interruptions (0.03 higher).
Bars share one scale across all 8 platforms. The place next to each figure is its rank in the field.
Share of the 82 scenarios that passed on all three runs.
Retell, 12.20 points higher
Calls where the expected outcome was fully reached.
Pipecat, 0.33 points higher
Calls with no connection, audio or platform failure.
Retell, 1.22 points higher
Mean score for calling the right tool with the right arguments.
Retell, 0.26 higher
Mean score for how clear and natural the agent sounds.
Retell, 0.62 higher
Mean score for yielding and recovering when the caller cuts in.
Retell, 0.03 higher
Mean time for the agent to start replying after the caller stops.
Pipecat, 0.24s faster
246 calls per platform: 82 scenarios, 3 runs each.
Retell is more reliable, by 12.20 points. Pipecat passed 63.41% of the 82 scenarios on all 3 runs and Retell passed 75.61%. A scenario only counts when every run of it passed.
Pipecat starts replying sooner, 0.24s faster. Mean response time is 1.97s for Pipecat and 2.21s for Retell.
Pipecat reached the expected outcome on 94.21% of calls and Retell on 93.88%. Pipecat 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.