ElevenLabs is ahead on repeatable reliability, infrastructure reliability, voice tone and clarity and response time, and Pipecat on task completion, tool call accuracy and interruption handling.
Last updated Methodology by Luis Ojeda
Pick ElevenLabs for reliability across repeated runs (6.10 points higher), calls that connect and stay up (2.85 points higher), how the agent sounds (0.73 higher) and fast replies (0.69s faster). Pick Pipecat for completing the caller's task (2.75 points higher), accurate tool calls (0.15 higher) and handling interruptions (0.01 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.
ElevenLabs, 6.10 points higher
Calls where the expected outcome was fully reached.
Pipecat, 2.75 points higher
Calls with no connection, audio or platform failure.
ElevenLabs, 2.85 points higher
Mean score for calling the right tool with the right arguments.
Pipecat, 0.15 higher
Mean score for how clear and natural the agent sounds.
ElevenLabs, 0.73 higher
Mean score for yielding and recovering when the caller cuts in.
Pipecat, 0.01 higher
Mean time for the agent to start replying after the caller stops.
ElevenLabs, 0.69s faster
246 calls per platform: 82 scenarios, 3 runs each.
ElevenLabs is more reliable, by 6.10 points. ElevenLabs passed 69.51% of the 82 scenarios on all 3 runs and Pipecat passed 63.41%. A scenario only counts when every run of it passed.
ElevenLabs starts replying sooner, 0.69s faster. Mean response time is 1.27s for ElevenLabs and 1.97s for Pipecat.
ElevenLabs reached the expected outcome on 91.46% of calls and Pipecat on 94.21%. 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.
