Turbo
Turbo voice API: one per-minute rate covering LLM, STT, and TTS for production AI phone calls.
Turbo is the tier to pick when you want one bill for the AI side of a phone agent and you have engineers to own the plumbing. The all-in $0.14/min (or $0.12/min plus $299/month on Build) is easy to defend upward because there are no token surprises. Teams that will never hit Build-scale volume, or that want a visual builder, get more value elsewhere.
Verified 1d ago · liveness 87/100 · cite: rightaichoice.com/tools/turbo
- Engineering teams shipping production AI phone agents who want one per-minute bill instead of four provider invoices
- Regulated buyers needing a BAA, SOC 2 Type II, SSO, data residency, or on-prem/VPC deployment
- High-volume outbound teams needing 50+ concurrent calls and daily caps in the thousands
- Support operations that hand warm or live calls to human agents mid-conversation
- No-code users who want a drag-and-drop voice bot builder
- Low-volume teams under roughly 100 calls/month, where the $299/month Build fee outweighs per-minute savings
- Simple menu-based IVR setups that do not need conversational AI
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Skip Turbo if you want a drag-and-drop voice bot builder with no code, or if you run under roughly 100 calls a month — the $299/month Build platform fee will cost more than the per-minute savings.
If you exceed Start's 100 calls/day or 100 calls/hour cap you have to move to Build and absorb its $299/month platform fee, which is far more than the per-minute savings on a small volume.
Turbo fits teams spending enough on calls that a single per-minute rate beats four provider invoices — realistically Build at $0.12/min plus a $299/month platform fee once you clear Start's 100 calls/day cap. Against Vapi (listed at $0.05/min) and Retell (about $0.07/min) as platform-only fees, both landing near $0.11–$0.30/min once LLM, STT, TTS, and telephony are added, Turbo competes with the fully-loaded number, not the sticker.
In short
Turbo — Turbo voice API: one per-minute rate covering LLM, STT, and TTS for production AI phone calls. Best for Engineering teams shipping production AI phone agents who want one per-minute bill instead of four provider invoices, Regulated buyers needing a BAA, SOC 2 Type II, SSO, data residency, or on-prem/VPC deployment, High-volume outbound teams needing 50+ concurrent calls and daily caps in the thousands. Free to start; paid plans from $0.12/mo.
No head-to-head comparison for Turbo yet — the alternatives below are the closest matches we list.
What's new in Turbo
Checked 4 days agoAcross the latest 6 updates: 5 feature updates and 1 launch.
Bland adds adaptive resumption and node-scoped interruptibility
Bland shipped adaptive resumption and node-scoped interruptibility, letting agents resume conversation per-node rather than globally.
Bland adds per-node Agent Speech Timing controls
Interruptibility now has five levels including a new 'Always interrupt' setting, plus Resumption Speed (Slow/Medium/Fast). Configurable per node, on inbound numbers, or via Send Call API.
Bland syncs contact memory to HubSpot and Salesforce
Memory syncs to CRM at contact level after every call and message via a single OAuth modal. Pushes summaries, memory entities and deals; can also pull CRM context back in.
Bland launches Evals for grading call quality
Evals run LLM judges against call history to grade audio, tone, hallucinations and resolution, with per-dimension rubrics and configurable evidence sources.
Bland adds iMessage support for Enterprise
iMessage joins voice and SMS as a third messaging channel, letting enterprise customers reach contacts from a branded profile.
Bland adds Custom Skills for Norm
Org-scoped custom skills let teams define reusable commands in Norm chat, triggered via slash menu, for tasks like brand voice enforcement and QA scenario generation.
What people actually say about Turbo — is it worth it?
We scanned public community sources for Turbo on Aug 5, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Turbo? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- All-in per-minute rate covering LLM, STT, and TTS with no token charges
- Sub-200ms end-to-end voice response latency on the standard model tier
- Voice cloning from a single audio clip into a production voice model
- Five interruptibility levels with adaptive resumption and Resumption Speed
- Agent Speech Timing configurable per node, per inbound number, or via API
- Conversational Pathways with deterministic guardrails for disclosures and holds
- Scheduling node with caller authentication before booking
- Evals with LLM judges grading audio, tone, hallucinations, and resolution
- Knowledge Base with visual map, coverage gaps, citations, and query logs
- Contact Memory Sync to HubSpot and Salesforce via a single OAuth modal
- Voice, iMessage, SMS, and web chat run the same agent and share memory
- REST, JavaScript, CLI, and MCP access with the same API surface per channel
- Warm and live transfer to a human agent mid-conversation
- Telephony portability: bring your own number, carrier, or SIP trunk
About Turbo
Turbo is Bland AI's API-first voice agent tier, priced as a single per-minute rate that covers the LLM, real-time speech-to-text, and text-to-speech instead of token or model-provider pass-throughs. It is aimed at engineers running real phone traffic, not demos: the call runtime, models, and orchestration are Bland-owned, and the same agent and memory run across voice, iMessage, SMS, and web chat so a caller switching channels does not start over. Product substance sits on operator controls. Conversational Pathways give branching logic with guardrails so disclosures, verifications, and holds happen deterministically. Agents respond end-to-end in sub-200ms on the standard model tier. A scheduling node authenticates callers before booking, and voice cloning turns one audio clip into a production voice used across outbound and inbound calls. Telephony is portable: bring your own number, carrier, or SIP trunk, run Bland's built-in Twilio at pass-through cost, or sit behind SIP, Twilio, Genesys, or NICE in an existing call path. Recent releases pushed the platform further into QA and CRM territory. Evals use LLM judges over call history to grade audio, tone, hallucinations, and resolution, with per-dimension rubrics. Contact Memory Sync pushes identity, rolling summaries, memory entities, and deals into HubSpot and Salesforce after every call or message via a single OAuth modal, and pulls CRM context back in. Agent Speech Timing now offers five interruptibility levels plus adaptive resumption and Resumption Speed, configurable per node, on inbound numbers, or via the Send Call API. Security is the front-of-site pitch, which matches the buyer: audited SOC 2 Type II, HIPAA BAA, GDPR DPA, PCI DSS v4.0.1 self-attested, ISO 27001, FedRAMP 20x Class A, AES-256 at rest, TLS 1.3 in transit, SSO/SAML, RBAC, and US/EU/APAC residency. Against Vapi and Retell, which quote low platform-only rates and leave LLM, speech, and telephony to you, Turbo's all-in number is a budgeting
Behind the Verdict
The pricing conversation around voice agents is usually rigged. Vapi's $0.05/min and Retell's ~$0.07/min are infrastructure rates; add an LLM, Deepgram-class STT, an ElevenLabs voice, and Twilio, and real stacks land around $0.13-$0.30 and $0.11-$0.25 per minute. Turbo folds the AI half of that into one number, so your finance review has a single line item. Whether that is cheaper depends on the models you would otherwise assemble. We would reach for Turbo when the agent is customer-facing and regulated. Conversational Pathways enforce disclosures instead of trusting a prompt, Evals give you a repeatable grade on tone and hallucinations, and the compliance stack (BAA, SOC 2 Type II, data residency, FedRAMP 20x) is what actually clears procurement. Contact Memory Sync into HubSpot and Salesforce removes a middleware project most teams underestimate. The Build tier is where the math needs care. At $0.12/min plus a $299 monthly platform fee, you need real volume before it beats Start at $0.14/min with no fee. Below roughly a couple thousand calls a month, save the fee and stay on Start. The payoff comes when you need 50 concurrent calls, live and warm transfers, and a Slack line to the Bland team. Think of Turbo as runtime, not canvas. If you want a drag-and-drop voice bot builder, this is the wrong shelf. If you want a REST/WebSocket API with the same surface across voice, SMS, iMessage, and chat, plus an MCP path for AI editors, it fits how engineering teams already work. The honest caveats: telephony is billed separately, so BYO carrier or accept pass-through costs. Menu-based IVR replacement is fine, but if your call flow is static DTMF routing, you are overpaying for conversational AI. And Build's $299 fee makes low-volume pilots expensive. Against Vapi and
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Real-world workflow fit
Concrete scenarios for the personas Turbo actually fits — and what changes day-one when you adopt it.
Sign up on Start with no card, get 2 credits plus an inbound number, and POST a call to the /v1/calls endpoint with a phone number and task to qualify refinance leads, using the june voice. They configure Conversational Pathways for disclosure and verification steps rather than trusting prompt wording.
Outcome: First working qualification agent in a day with no telephony setup, then a move to Build once outbound volume passes the 100 calls/day Start cap.
Deploy an inbound intake agent on Build, use the Scheduling node with caller authentication to verify identity before booking, and turn on Knowledge Base gaps and citations to see which questions the agent cannot answer. Contact Memory Sync pushes each caller's summary onto the HubSpot contact after the call.
Outcome: Agents book appointments without team intervention, and the training team works the Knowledge Map's under-50% coverage nodes first instead of guessing.
Run 50+ concurrent outbound calls on Build for delivery updates, with Alerts configured on call length and a plain-language custom condition for escalation requests, routed to the team's Slack channel.
Outcome: Delivery-status outreach runs at scale with exception calls surfaced to Slack when a condition trends, rather than after a customer complains.
Use Cases
- Inbound call handling for customer service teams
- Automated appointment booking with caller authentication for dental and medical offices
- Payment collection for overdue accounts
- Lead qualification for real estate and mortgage refinance inquiries
- Patient intake and scheduling for medical practices
- Logistics coordination and delivery updates
- Outbound sales dialing at 50+ concurrent calls on Build
- Reaching customers over iMessage from a branded contact (Enterprise)
Limitations
- Pricing is per-minute with no token charges or model-provider pass-throughs: Start is $0.14/min with no platform fee and caps out at 100 calls/day, 100 calls/hour, 10 concurrent calls, 1 voice, and 10 knowledge bases, while Build is $0.12/min plus a $299/month platform fee for 2,000 calls/day, 1,000 calls/hour, 50 concurrent calls, 5 voices, and 50 knowledge bases.
- Several capabilities are tier-gated: SMS and web chat, warm and live transfers, guardrails, alarm and monitoring, Knowledge Base gaps, citations, outcomes, custom dialing, and custom code extraction require Build, while SSO, JWT signatures, data residency, priority call queue, and on-prem/VPC deployment require Enterprise.
- Transfers are billed at $0.05/min (Start) or $0.04/min (Build) on top of talk time.
- The August 3, 2026 adaptive resumption update removed the resumption_speed field, so response timing is no longer manually configurable.
as of 2026-10-09
Verification history
We have re-verified Turbo 21 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Turbo tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Start
$0.14/min
Ideal for
Engineers prototyping a first production voice agent and teams running under 100 calls a day, who want to test the API without a card.
What this tier adds
Free entry point: $0.14/min with no platform fee, 2 credits plus an inbound number ($15/mo value), 10 concurrent calls, 100 calls/day, 10 knowledge bases, 1 custom voice.
Build
$0.12/min + $299/mo
Ideal for
Production support lines and outbound dialers running 50+ concurrent calls a day, who need transfers, guardrails, and monitoring.
What this tier adds
Adds a $299/month platform fee for a lower $0.12/min rate, 50 concurrent calls, 2,000 calls/day, warm and live transfers, guardrails, alarms, Knowledge Base gaps and citations, and 50 knowledge bases.
Enterprise
Custom
Ideal for
Regulated organizations and high-volume callers that need unlimited caps, data residency, and infrastructure they can point a security review at.
What this tier adds
Custom pricing with concurrency sized to your volume, unlimited daily and hourly caps, on-prem/VPC deployment, a forward deployed engineer, BAA, SSO, JWT signatures, and data residency.
Where the pricing makes sense
The company stage and team size where Turbo's pricing actually pencils out — and where peers do it cheaper.
Turbo fits teams spending enough on calls that a single per-minute rate beats four provider invoices — realistically Build at $0.12/min plus a $299/month platform fee once you clear Start's 100 calls/day cap. Against Vapi (listed at $0.05/min) and Retell (about $0.07/min) as platform-only fees, both landing near $0.11–$0.30/min once LLM, STT, TTS, and telephony are added, Turbo competes with the fully-loaded number, not the sticker.
Setup time & first value
How long it actually takes to get something useful out of Turbo — broken out by persona, not the marketing-page minute.
Self-serve: most teams deploy a first agent within a day on Start or Build using the REST or CLI quickstart, with no card required to start. Enterprise deployments with custom integrations, number porting, and compliance review follow Bland's stated 28-day deployment framework — scope, build, gray/red/green-team test, and go live with a forward deployed engineer alongside your team.
Switching to or from Turbo
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a raw Twilio + LLM + STT + TTS stack: keep your Twilio account as BYOT and replace only the AI layer, paying Turbo's per-minute AI rate with no transfer fees.
- →From an existing IVR: point your number at Bland over SIP or a supported telephony provider and replace the menu with Conversational Pathways while keeping your number.
- →From Vapi or Retell: move the agent logic to Bland's Pathways and API surface, and use Evals on historical calls to benchmark quality before cutting over.
- →From Genesys or NICE contact-center routing: drop Bland into the call path via SIP and keep your existing routing and number pools.
- ↗To Vapi or Retell: rebuild agents on their prompt-based abstractions and reattach separate LLM, STT, TTS, and telephony billing, accepting the multi-invoice model Turbo is priced to avoid.
- ↗To a self-hosted stack: port the agent logic to your own orchestrator and swap in your own model and speech providers, giving up Bland's managed runtime and compliance documentation.
- ↗To a no-code voice builder: replace programmed Pathways with a visual flow canvas, trading deterministic guardrails for faster edits by non-engineers.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Turbo”, and we withheld 6: 6 could not be judged, because “Turbo” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Turbo.
Official links
Tools that pair well with Turbo
Common stack mates teams adopt alongside Turbo, with the specific reason each pairing earns its keep.
Synthflow AI
Synthflow AI runs enterprise voice AI agents on its own telephony network for automated phone calls at scale.
Vapi
Vapi is an API-first platform for building voice AI agents that answer and place real phone calls at sub-500ms latency.
Slang.ai
Slang AI is a voice AI phone host for restaurants that answers calls 24/7, books reservations and routes VIPs to staff.
Alternatives to Turbo
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Synthflow AI
Synthflow AI runs enterprise voice AI agents on its own telephony network for automated phone calls at scale.
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