LiveKit
- Strength
- Ranks second on repeatable reliability with 99.19% infrastructure-clean calls.
- What can be improved
- Consent was collected, but consent_id was omitted from the handoff tool.
- nova-3
- openai/gpt-4.1
- sonic-3
LiveKit is ahead on repeatable reliability, infrastructure reliability, tool call accuracy, voice tone and clarity, interruption handling and response time, and Vapi on task completion.
Last updated Methodology by Luis Ojeda
Pick LiveKit for reliability across repeated runs (10.97 points higher), calls that connect and stay up (16.26 points higher), accurate tool calls (0.65 higher), how the agent sounds (0.28 higher), handling interruptions (0.24 higher) and fast replies (0.49s faster). Pick Vapi for completing the caller's task (2.44 points 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.
LiveKit, 10.97 points higher
Calls where the expected outcome was fully reached.
Vapi, 2.44 points higher
Calls with no connection, audio or platform failure.
LiveKit, 16.26 points higher
Mean score for calling the right tool with the right arguments.
LiveKit, 0.65 higher
Mean score for how clear and natural the agent sounds.
LiveKit, 0.28 higher
Mean score for yielding and recovering when the caller cuts in.
LiveKit, 0.24 higher
Mean time for the agent to start replying after the caller stops.
LiveKit, 0.49s faster
246 calls per platform: 82 scenarios, 3 runs each.
LiveKit is more reliable, by 10.97 points. LiveKit passed 70.73% of the 82 scenarios on all 3 runs and Vapi passed 59.76%. A scenario only counts when every run of it passed.
LiveKit starts replying sooner, 0.49s faster. Mean response time is 2.59s for LiveKit and 3.08s for Vapi.
LiveKit reached the expected outcome on 95.12% of calls and Vapi on 97.56%. Vapi 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.