AssemblyAI API Recommended
Other APIs
Self-hosted Voice AI
Time to value
Ship in days with a simple API and SDKs
Long sales cycles and contract negotiations
Fast prototype, but weeks to harden for production
Engineering effort
No model serving, GPUs, or infrastructure to manage
Complex SDKs and inconsistent docs
You build the pipelines, serving, batching, and scaling
Ops and maintenance
Upgrades, scaling, and reliability handled for you
Patchy reliability and slow product updates
On-call burden, CUDA drivers, and patching
Scale and burst
Elastic capacity for spikes and new launches
Tight concurrency limits and rate throttling
Capacity planning, idle GPUs, or dropped work
Real-time streaming
Streaming infrastructure tested at production scale
Inconsistent streaming support
Endpointing and stability are hard to get right
Accuracy and features
Strong out-of-the-box quality plus a deep feature set
Feature gaps and accuracy that varies by use case
Baseline quality — tuning and evaluation required
Security and compliance
Enterprise security posture and compliance options
Varying compliance levels and data retention concerns
You own all the risk and audit
Cost / TCO
Lowest TCO — pay-as-you-go with no GPU or ops headcount
Premium pricing and minimum commitments
Higher TCO — GPU capex, infrastructure, and on-call team