Business dynamics have changed now, businesses are growing beyond borders, and customer-base has increased too. Therefore dealing with customers is not an easy task anymore. Under such situations, traditional call centers fail to deliver expected levels of services both to the customers and businesses themselves. Moreover, now customers have more available options and have increased sensitivity toward customer experience. Any wrong or inappropriate move in customer experience can result in loss of customers.
All these modern problems demand modern solutions. And AI call centers are best for dealing with all the modern business related problems ranging from CX to marketing and outreach.
In the previous blog of this series; we have familiarized ourselves with a variety of AI calling tools and software like Bigly sales, Woosender, Salesforce, CloudTalk etc. Now, in this blog we will compare and contrast two important platforms for setting top-notch AI call centers for businesses: Bland AI and Vapi AI.
Explore more about: How High-Performance AI Calling Systems Work?
Overview of Vapi AI and Bland AI
Vapi AI was founded in 2020 by Jordan Dearsley (CEO). It is a San Francisco based startup that helps businesses to build and deploy customizable voice agents. Vapi AI is a developer-first voice AI platform used to build advanced AI phone call systems. It is designed for teams that want full control and customization over their AI caller’s work. It is best for technical teams with a strong programming background. Vapi AI is Voice-only platform and is unable to provide any other aspect of customer care, confined only to calls..
Bland AI was founded about 3 years back in 2023 by Isaiah Granet and Sobhan Nejad. It is based in San Francisco, too. Bland AI is an enterprise-grade communication platform for businesses that is easy to use and set up without needing complex technical background with AI calling systems. It
It handles technical complexity internally due to which it requires less configuration and is well suited for teams that are short on time and want to get an AI calling system running without making technical adjustments. It operates across voice, SMS, and chat, delivering a flawless and connected customer experience
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Bland AI Vs Vapi AI |
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| Features | Vapi AI | Bland AI |
| Core Characteristics | Vapi AI is a developer-first platform with a high level of customization and control over the entire AI calling setup. Users are given full control to choose a language model for generating responses, transcription model for speech-to-text conversion, and TTS provider for speech synthesis. Instead of forcing platform-specific or fine-tuned models, it allows you to use exact models that align with your business needs and requirements like GPT-4o, Gemini, Grok etc. Because of this flexibility, users have far more configuration options available, especially when compared to Bland AI. | The platform is an enterprise-grade communications platform that is easy to use and setup without needing complex technical background with AI calling systems. Bland AI deals with complexity internally and has its own setup for LLM, TTS, and STT, therefore it requires less configuration. It is appropriate for users who are facing time constraints and want to launch an AI calling system promptly without technical adjustments. |
| Advanced Features | Vapi’s advanced feature allows users to create an efficient AI phone calls system. It supports Transient assistants and Vapi Squad features.
Transient assistants allow the system to collect useful information and CRM data like relevant details etc. of the caller. Suppose a person calls for support, the transient assistants check for the phone number and look it up in the company’s CRM about the history of the caller, check their name, past activity and see if they are a lead, customer, or prospect. This helps the system to start the conversation with more context and awareness. Vapi Squad features allow AI assistants to work as a group. Using this feature, multiple AI calling assistants can work together within a single call. Each assistant can be trained for a specific task, such as lead qualification or appointment scheduling. Vapi squads work like a real call center team, where each AI handles one task, together acting like a full calling department. |
Bland AI has a low-code or no-code system to design conversational pathways. These pathways allow users to create AI phone callers using a drag-and-drop interface and simple prompt. Users can visually design different call paths, so the AI knows how to respond in various situations. Because everything is visual and guided, the learning curve is much easier compared to traditional development tools. Due to this feature, AI callers can be created within 30 seconds to one minute, allowing users to build and test AI callers very quickly. |
| Platform Scope | As it is only a voice AI platform, Vapi is unable to provide any other aspect of customer care, confined only to calls. For any customers that want to move their conversation to email or text chat, Vapi cannot provide this service, which can lead to data fragmentation and siloing over time. | Bland operates across voice, SMS, and chat, delivering a flawless and connected customer experience. Improve customer satisfaction and avoid data silos with Bland. |
| Latency and Performance | Vapi AI offers customizable latency as it can be adjusted based on how the system is configured. Latency totally depends on choices you made as a user during the set-up phase and heavily rely on the language model (LLM) and the text-to-speech provider, as these two components have the biggest impact on how fast the AI responds. With the right configuration; for example, choosing fast models like Grok; latency can be reduced to 700 milliseconds. Because of this flexibility, Vapi AI has the highest potential for minimizing latency but reaching these results requires careful tuning, testing, and configuration. Vapi indirectly makes performance optimization more dependent on user effort and setup choices. | Bland AI delivers latency almost comparable to Vapi AI. Response time stays around 700 milliseconds with less variation during conversations. Bland AI does not allow deep performance tuning therefore there are fewer ways to aggressively reduce latency further. Consequently, its maximum latency optimization potential is lower compared to Vapi. However, this leads to predictable response times, which helps ensure reliable and consistent behavior across calls without ongoing configuration or fine-tuning. |
| API and Integration choices | Vapi is API-native platform which means that it does not have a fixed interface; rather users can connect Vapi with their own apps, tools, and systems. It provides thousands of options for configurations and integrations that allows teams to decide how the AI calling system behaves and fits into their existing workflows. | Bland AI provides ready-to-use integrations but options are not as broad as provided by Vapi.. It can integrate with your business systems as a direct developer API for flexible embedding, through automation platforms (Zapier, Make) to link Bland with CRM, spreadsheets, calendars, etc., via generic webhooks or scripting tools, and connectors that sync call data, analytics, and triggers across your tools. |
| Pricing Characteristics | Pricing is unpredictable because it highly depends on how the system is configured. The fixed platform cost is 5 cents per call but the total cost can fluctuate depending on LLM and TTS provider. | Pricing is fixed and costs around 9 cents per call. Pricing structure is fixed therefore it is easier to budget and plan expenses in advance. |
Who Should Use Vapi AI
Vapi AI is best for teams with development experience who value customization, control, and maximum quality potential. It is designed for teams that want full control and customization over their AI caller’s work. It is best for technical teams with a strong programming background. As Vapi AI is Voice-only platform and is therefore good for teams who want only voice-support for their business.
Who Should Use Bland AI
It is appropriate for users who are facing time constraints and want to launch an AI calling system promptly without technical adjustments. Bland AI is a perfect fit for the businesses that do not want to deal with technicalities behind setting up the whole system. As bland AI operates across voice, SMS, and chat therefore teams who want omnichannel support can prefer it more.
FAQs About
1. What is the main difference between Vapi AI and Bland AI?
The main difference between them is customization versus simplicity. Vapi AI is a highly customized platform but at the same time it is complex to set up because it is the developer first system and requires technical and programming knowledge. Whereas, Bland AI is simple and easy to use but customization options are limited therefore we call it a ready-to use platform.
2. Which platform is better for non-technical teams?
As bland AI is a low-code or no-code platform therefore it is best for non-technical teams with no or least technical background and knowledge.
3. Does Vapi AI support omnichannel communication like SMS and chat?
No, Vapi AI is a voice only system and is therefore suitable for businesses that only need voice support services.
4. Which platform offers better performance and latency control?
Vapi AI offers greater control over performance and latency through model and configuration choices, with the potential to reduce latency to around 700 milliseconds. Bland AI offers similar latency levels but focuses more on consistency and predictability rather than deep tuning.
5. Which AI calling platform is more cost-predictable?
Bland AI has a fixed pricing structure and is therefore more cost predictable. It costs around 9 cents per call. So, teams using this platform can easily plan their expenses in advance.