Introducing Cekura Bench: the world’s leading Voice AI Benchmarks
We benchmarked 50+ models from openAi, Google, Nvidia, xAI, Inworld, Gradium, Assembly, Fish audio and more
Now you can:
→ Compare naturalness, performance and cost
→ See how the best voice agents are being built.
→ Find the best fit for what you are building.
Our tests cover Speech-to-Speech models, Speech-to-Text models, Text-to-Speech Models, and Voice Agent platforms. We recorded real humans doing tasks in different domains and created the most representative voice benchmark out there!
Explore the benchmarks: https://t.co/eZAFy7P0Nj
We would love to collaborate with more teams on these benchmarks. Reach out if you are interested.
Everyone benchmarks the voice model.
Almost nobody benchmarks the stack around it.
So at @cekuraAi ran the same agent across 6 voice orchestration platforms:
Same prompt
Same tools
Same model
Same voice
59 scenarios X 3 runs each
The insights were equally powerful -
Fastest wasn’t most consistent.
Most consistent wasn’t best at interruptions.
Cheapest wasn’t always worst.
The right platform depends on your use case.
Full benchmark alongside the data is public - https://t.co/GWo3BoXVne
@tarush_agarwal_@cekuraAi We did a similar benchmark comparing the following to choose the right STT platform:
Deepgram, Speechmatics, Assembly AI and Amazon Transcription
Without the testing benchmarks, we would have gone blind to know how the platform performs at scale.
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