Voice AI costs, decoded.
Build a real per-minute estimate across platform, speech, intelligence, carrier, and recording. Every number is inspectable. Every source is public.
What 10,000 outbound minutes can cost
Same Deepgram, GPT-5 mini, integrated voice, and Twilio outbound assumptions. Bundled platforms include their speech and model layers.
Plan the whole call, not one line item
Useful calculators and guides for the decisions before a Voice AI launch: stack selection, carrier spend, latency, burst capacity, outcome economics, and telephony deployment.
Stack cost calculator
Compare three configurable stacks with itemized platform, model, carrier, and recording costs.
02Realtime voice calculator
Estimate native audio-in/audio-out costs across GPT-Realtime and Gemini Live models.
03Concurrency planner
Turn monthly calls, handle time, and peak traffic into the number of lines you need.
04Telephony calculator
Estimate inbound and outbound carrier spend with call recording and phone numbers.
05Voice AI ROI
Compare automated call costs against fully loaded human-agent time.
06Cost per successful call
Model the full funnel from attempts to connected and successful outcomes.
07Voice AI latency
Budget endpointing, STT, LLM, TTS, and network delay for each spoken turn.
08Country telephony cost
Compare public carrier assumptions for the US, UK, Australia, India, and Singapore.
09Voice AI stack recommender
Shortlist managed, hybrid, and self-hosted stacks with inspectable scoring rules.
010Asterisk config generator
Create PJSIP, dialplan, RTP, ARI, and external-media files without collecting secrets.
011Provider pricing index
Browse source-linked pricing snapshots and understand what each advertised rate includes.
012Voice AI cost guide
Learn the six layers that determine real cost per connected minute.
013Asterisk configuration
Build the SIP, PJSIP, ARI, RTP, NAT, and external-media path for a real call.
014OSS framework directory
Compare TEN Framework, Pipecat, LiveKit Agents, Bolna, Dograh, and other open runtimes.
015Global platform alternatives
Find Voice AI platforms across India, the United States, and Europe, with official sources.
016SIP trunk comparison
Compare editable carrier assumptions by country without pretending every route has a public rate.
017Architecture builder
Turn your carrier, runtime, intelligence, deployment, and region choices into a shareable call path.
018Production readiness
Find missing compliance, security, reliability, capacity, and launch gates.
019Country compliance
Start reviews for Voice AI calls in the US, India, EU, and UK from regulator sources.
020Industry call templates
Use focused flows for healthcare, real estate, payments, restaurants, recruiting, and support.
021Pricing snapshot history
Trace when a public pricing assumption entered the Voice OSS dataset.
022Country deployment guides
Plan costs, carrier validation, languages, caller identity, and launch checks across 29 countries.
023Public latency benchmarks
Compare published evidence by full voice turn, orchestration path, or carrier network scope.
024Voice AI Call Doctor
Turn common SIP, RTP, ARI, codec, ICE, and media log signatures into the next useful checks.
Published rates, with context
Advertised per-minute rates are rarely equivalent. These profiles explain whether the price includes infrastructure, STT, TTS, LLMs, telephony, or none of them.
Vapi
$0.05/min platform fee, plus model and carrier costs.
02Retell AI
$0.055/min voice infrastructure, plus TTS, LLM, and telephony.
03Bland Start
$0.14/min including STT, LLM, and TTS; carrier cost is separate.
04ElevenAgents
$0.08/min Speech Engine rate, with telephony billed separately.
05Workforce Wave
Starter plan is $99/mo with 100 included minutes, then $0.12/min overage.
06Pipecat Cloud
$0.01/min active agent-1x hosting; 1:1 WebRTC voice is included.
Compare the choices people actually shortlist
Each page explains the pricing structure, ownership trade-off, and a like-for-like 10,000-minute scenario.
Economics now. Open call infrastructure next.
Voice OSS is created by Himanshu Maurya (codingstark), who is also working toward an open-source Voice AI calling stack designed around Cloudflare's edge platform.
Himanshu Maurya (codingstark)
Builder of OSS.codes and practical open-source developer tools.
Realtime media, Workers, Durable Objects, WebSockets, and open agent adapters on a Cloudflare-based stack. This site is the research and cost-modeling layer for that work.