Turbo
High-volume AI call automation with all-in per-minute pricing.
If you need to run thousands of AI phone calls daily with compliance and custom LLM logic, Turbo's all-in pricing and concurrency are hard to beat. But if you want a no-code builder or low-volume usage, the paid tiers and API-first nature make it overkill.
Verified 18d ago · liveness 95/100 · cite: rightaichoice.com/tools/turbo
- Developers building custom AI phone agents for high-volume call centers
- Enterprises needing HIPAA-compliant voice automation for healthcare
- Sales teams running large-scale outbound campaigns with custom LLM logic
- Customer support teams requiring live call transfer and dual-channel audio
- Small businesses seeking plug-and-play, no-code voice bots
- One-off or low-volume call automation (under 100 calls/month)
- Teams without in-house development resources for API integration
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Skip Bland Turbo if you need a no-code voice bot for low-volume use or cannot commit to API integration.
Build tier: $299/mo + $0.12/min; Scale tier: $499/mo + $0.11/min add to per-minute costs.
Turbo's pricing is best for high-volume operations (1,000+ minutes/month) where the all-in rate beats competitors' base + LLM/STT/TTS pass-throughs. For smaller volumes, Free tier caps at 100 calls/day, and Build/Scale platform fees ($299/$499/mo) may outweigh savings. Cheaper alternatives: Vapi/Retell advertise lower base rates but add separate model costs.
In short
Turbo — High-volume AI call automation with all-in per-minute pricing. Best for Developers building custom AI phone agents for high-volume call centers, Enterprises needing HIPAA-compliant voice automation for healthcare, Sales teams running large-scale outbound campaigns with custom LLM logic. Plans from $0.14/mo.
What's new in Turbo
Checked 17 days agoAcross the latest 5 updates: 5 feature updates.
Evals: LLM judges grade call quality dimensions
Bland Evals enables LLM-based grading of audio, tone, hallucinations, and resolution on call history.
Knowledge Base Updates: Knowledge Map, aggregate stats, Query Logs
New visual map of KB sources/questions, aggregate stats, and query logs tab.
Pathways improvements: caller auth in Scheduling, inline outcomes
Scheduling node supports caller authentication; outcomes displayed inline during test calls.
iMessage Support [Enterprise]
Bland adds iMessage as a third messaging channel with branded contact, end-to-end encryption, and rich media.
Custom Skills for Norm
Custom skills in Norm allow teams to create reusable commands for brand voice, flows, and QA.
Viability Score
How likely is Turbo to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- All-in per-minute pricing covering LLM, STT, TTS
- Up to 1,000 concurrent calls (Enterprise)
- Real-time interruption and dual-channel audio
- Live call transfer to human agent
- Custom LLM provider integration (OpenAI, Anthropic, etc.)
- Autonomous outbound calling with bulk scheduling
- WebSocket-based low-latency communication
- Custom voice cloning and selection
- Enterprise compliance (SOC 2 Type II, HIPAA, BAA)
- Evals for call quality assessment (audio, tone, resolution)
- Knowledge Base with visual map and query logs
- Pathway scheduling with caller authentication
- iMessage support (Enterprise)
- Custom skills for Norm assistant (slash commands)
- Do Not Contact list enforcement
About Turbo
Turbo by Bland is an API-first AI calling platform for developers and enterprises running phone agents at high concurrency. It handles up to 1,000 concurrent calls with low-latency voice, real-time interruptions, and dual-channel audio—all wrapped in a single per-minute rate that covers LLM, STT, and TTS with no token charges or provider pass-throughs. The platform is built for scale: it supports live call transfers to human agents, custom LLM provider integration (OpenAI, Anthropic, etc.), autonomous outbound calling with bulk scheduling, and enterprise-grade compliance (SOC 2 Type II, HIPAA, GDPR, PCI DSS). Recent updates include Evals for call quality assessment using LLM judges to grade audio, tone, hallucinations, and resolution. Improvements also include a visual Knowledge Map with source stats and Query Logs, Pathway scheduling with caller authentication, iMessage support (Enterprise), and custom skills for the Norm assistant. Turbo offers WebSocket-based communication, custom voice cloning, session metadata, call logs, and webhook events. Compared to platforms like Vapi or Retell, which charge separately for each AI component, Turbo's bundled pricing provides predictable costs for high-volume operations—though it lacks a free tier and requires API integration skills.
Behind the Verdict
Turbo is a strong candidate for developers building custom AI phone agents for high-volume call centers. Its all-in per-minute pricing covers LLM, STT, and TTS without surprise costs, making it predictable for operations at scale. The latest Evals feature brings AI-driven quality assessment, a welcome addition for teams needing objective call grading. However, Turbo's API-first design means it's not suitable for non-technical users or small businesses. Compared to Vapi or Retell, Turbo is cheaper per minute at volume due to the bundled model, but those platforms offer more granular control over model choices. In practice, Turbo's real-time interruption and dual-channel audio are solid, and the compliance certifications (HIPAA, SOC 2) are essential for healthcare and finance. Where it bites: the Start plan limits you to 100 calls/day and only 1 voice clone. If you need higher concurrency, you pay platform fees starting at $299/mo. For teams wanting a no-code builder, look elsewhere.
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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.
Outbound lead qualification calls
Outcome: Deploys Turbo to call 2,000 leads/day using a custom LLM prompt. Integrates via API to log outcomes in CRM. Achieves 80% contact rate with real-time interruption handling.
HIPAA-compliant patient intake calls
Outcome: Configures Turbo with BAA, uses Knowledge Base for FAQs, and schedules appointments via Pathway node. Reduces staff workload by 60% while maintaining compliance.
Use Cases
- Inbound call handling for customer service teams
- Automated appointment booking for dental offices
- Payment collection for overdue accounts
- Lead qualification for real estate agencies
- Patient intake for medical practices
- Logistics coordination and delivery updates
Models Under the Hood
as of 2026-07-06
Limitations
- Bland Turbo is phone-first; SMS and web chat are restricted to Scale and Enterprise plans.
- The free trial limits you to 100 calls/day and 10 concurrent calls.
- Platform fees on Build ($299/mo) and Scale ($499/mo) add to per-minute costs.
- There is no dedicated mobile app or analytics beyond call logs.
as of 2026-06-26
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 + $0.05/min transfer
Build
$299/mo + $0.12/min + $0.04/min transfer
Ideal for
Growing teams needing higher daily limits (2,000 calls/day) and lower per-minute rates.
What this tier adds
$299/mo platform fee, $0.12/min, $0.04/min transfer, 50 concurrent calls, 5 voice clones, 50 knowledge bases, version lock, 99% uptime SLA.
Scale
$499/mo + $0.11/min + $0.03/min transfer
Ideal for
High-volume operations (5,000 calls/day) requiring lowest per-minute rates and priority queue.
What this tier adds
$499/mo platform fee, $0.11/min, $0.04/min transfer, 100 concurrent calls, 15 voice clones, 100 knowledge bases, dedicated orchestration server.
Enterprise
Custom
Ideal for
Large organizations needing unlimited concurrency, on-prem deployment, and full compliance (BAA, SSO, data residency).
What this tier adds
Custom pricing, unlimited concurrent calls, on-prem/VPC, dedicated FDE, custom voice actor, forward-deployed engineering.
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's pricing is best for high-volume operations (1,000+ minutes/month) where the all-in rate beats competitors' base + LLM/STT/TTS pass-throughs. For smaller volumes, Free tier caps at 100 calls/day, and Build/Scale platform fees ($299/$499/mo) may outweigh savings. Cheaper alternatives: Vapi/Retell advertise lower base rates but add separate model costs.
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.
Developers can deploy a first agent within a day on self-serve plans via API documentation. Enterprise deployments follow a 28-day framework with forward-deployed engineering.
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 Vapi/Retell: Replace multi-vendor LLM/STT/TTS stack with Turbo's single API. Update webhook endpoints to Bland's format.
- →From on-prem IVR: Use Turbo's SIP integration to connect existing telephony infrastructure.
- →From basic auto-dialer: Migrate outbound lists via CSV import and use Turbo's bulk scheduling API.
- ↗To Vapi/Retell: Export call logs and knowledge bases via API; rebuild Pathways in alternative platform.
- ↗To custom solution: Use Turbo's webhook and log exports to seed your own analytics pipeline.
- ↗To simpler IVR: Cease use; data export available via dashboard.
Integrations
Resources & Guides
Official links
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Common stack mates teams adopt alongside Turbo, with the specific reason each pairing earns its keep.
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