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
Pipecat is ahead on repeatable reliability, infrastructure reliability, interruption handling and response time, and Smallest AI on task completion and voice tone and clarity. The two tie on tool call accuracy.
Last updated Methodology by Luis Ojeda
Pick Pipecat for reliability across repeated runs (7.31 points higher), calls that connect and stay up (0.81 points higher), handling interruptions (0.06 higher) and fast replies (0.75s faster). Pick Smallest AI for completing the caller's task (0.10 points higher) and how the agent sounds (0.63 higher). They are level on accurate tool calls.
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.
Pipecat, 7.31 points higher
Calls where the expected outcome was fully reached.
Smallest AI, 0.10 points higher
Calls with no connection, audio or platform failure.
Pipecat, 0.81 points higher
Mean score for calling the right tool with the right arguments.
Level
Mean score for how clear and natural the agent sounds.
Smallest AI, 0.63 higher
Mean score for yielding and recovering when the caller cuts in.
Pipecat, 0.06 higher
Mean time for the agent to start replying after the caller stops.
Pipecat, 0.75s faster
246 calls per platform: 82 scenarios, 3 runs each.
Pipecat is more reliable, by 7.31 points. Pipecat passed 63.41% of the 82 scenarios on all 3 runs and Smallest AI passed 56.10%. A scenario only counts when every run of it passed.
Pipecat is more reliable, by 7.31 points. Pipecat passed 63.41% of the 82 scenarios on all 3 runs and Smallest AI passed 56.10%. A scenario only counts when every run of it passed.
Pipecat starts replying sooner, 0.75s faster. Mean response time is 1.97s for Pipecat and 2.71s for Smallest AI.
Pipecat reached the expected outcome on 94.21% of calls and Smallest AI on 94.31%. Smallest AI 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.