Dasha AI Pricing Breakdown: And How Open Source Saves 70%

Dasha AI offers Free Developer and Growth plans, starting at as low as $0.08 per minute for high-volume calls and ranging up to $0.20–$0.30/Minute for regular usage, with 1,000 free minutes each month. It holds a 3.7 rating on Trustpilot, with users praising its flexibility and ability to customize voice bot workflows for diverse use cases like customer service and appointment scheduling.

Dasha AI has no minimum call duration, billing is calculated per second, meaning a 5-second call is charged precisely for 5 seconds, not rounded up to a full minute.

This blog breaks down Dasha AI pricing and compares it with top alternatives like Dograh AI to help you select the best AI phone agent platform for your business needs.

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Dasha AI Pricing at a Glance

Dasha AI offers a Developer and Growth pricing plan, claiming a simple and transparent pricing model scaling from 10 to 10,000 concurrent calls across 30 multiple languages with seamless switching during calls.

Core Pricing Structure

• Developer Plan : Dasha AI Developers Plan Includes 1,000 free minutes per month, support for 1 concurrent call, full API access, and email support.
• Growth Plan : Dasha AI Growth Plan offers rates as low as $0.08 per minute for high volumes customize plan, for normal calls rate may range for $0.20 - $0.30, also supports unlimited concurrent calls (up to 1,000 per AI agent or more), ensures 99.99% uptime SLA, and includes all features except VoIP and LLM tokens. It also provides priority support via private channels, along with volume and committed-usage discounts.

How Dasha AI Pricing Works and Tiers Comparison

Dasha AI provides a flexible, usage-based pricing model designed for both developers and enterprises, offering plans that range from a free developer tier to scalable growth options.

How Dasha AI Pricing Works :

• Free Developer Tier : Allows developers to get started without any upfront cost, making it ideal for experimentation, testing, and small-scale projects.
• Usage-based Billing : Calls are billed per second with no minimum duration, ensuring accurate and transparent pricing for every interaction.
• Connection Charges : Users are billed only for successfully connected calls, with no charges applied to failed or unanswered attempts, ensuring fair usage costs.
• Scaling Options : Pricing scales based on call volume and enterprise requirements, accommodating everything from small-scale tests to thousands of concurrent calls.
• No Fixed Tiers with Strict Limits : Dasha AI pricing is customized to match usage needs, offering tailored rates for high-volume or enterprise-level applications.

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Dasha AI Pricing and Tiers Comparison  

Real Cost Breakdown

Dasha AI’s pricing follows a usage-based model, built to scale seamlessly with call volume and business growth.

A 5-minute connected call costs $0.40 (5 × $0.08). At 10,000 minutes per month (=166 hours), the estimated monthly cost is around $800 for continuous usage, with large-scale deployments often eligible for discounted per-minute rates.

Note : For normal calls rate may range between $0.20 - $0.30/ minute.

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Setup and Technical Needs

Setting up Dasha AI requires minimal local setup for testing and development, but full deployments typically involve using its cloud infrastructure and SDK tools.

• Prebuilt Templates : Sign up via playground.dasha.ai, a browser-based IDE that lets developers design, test, and deploy AI agents without local installation. It also offers prebuilt templates to quickly prototype and test call flows.
• Local Development Tools : Require Node.js v14 or newer, the Dasha AI Command Line Interface (CLI) installed via npm install --global "@dasha.ai/cli", and Visual Studio Code with the DashaStudio extension for syntax highlighting, debugging, and managing DashaScript files.
• DashaScripts (DSL) : Dasha agents are built using DashaScript, a domain-specific language similar to JavaScript. It defines the dialogue structure, model selection (voice, language, persona), business rules, and guardrails outlining what the agent should or shouldn’t say.
• Integrate APIs and Databases : Dasha agents integrate with CRMs, VoIP systems, or databases via REST APIs or SDKs (Node.js, Python, C#), enabling real-time data access for dynamic conversations and intelligent automation.
• Deployment and Scalability : After validation, agents can scale to handle hundreds of concurrent calls, offering full cloud scalability and Bring Your Own Carrier (BYOC) support for seamless telephony integration.
• Testing and Debugging : Test conversations using the Dasha Playground or CLI simulator, and fine-tune intents, interruptions, and error handling through the testing console in Visual Studio Code with the DashaStudio extension.

How to Calculate your Monthly Bill with Dasha AI 

Dasha AI’s monthly billing follows a per-second, usage-based model, making cost estimation simple once total connected call time is known. Charges depend on call duration, volume, and connection success rate. As of 2025, the standard rate is $0.08 per minute (billed per second). For normal calls the rate range between ($0.20-$0.30/Minute)

Formula:

Call Cost = Call Duration (minutes) × 0.08

Pros and Cons of Dasha AI Pricing

Pros

• Dasha efficiently automates calls and customer interactions, reducing the need for a traditional call center and seamless integration.
• The Dasha SDK enables seamless integration with core products, leveraging LLM-based conversations to shift workloads from human agents to AI.

Cons

• Dasha AI has a slight learning curve and occasional minor technical glitches that may require support to resolve.
• The GUI and portal-based tools are still developing and may lack some advanced features or polish.

How Dasha AI compares to Dograh AI

Dograh is an open-source platform with no fees, making it a cost-effective, customizable, and scalable alternative as compared to Dasha AI, featuring prebuilt templates and a 2-minute setup.

What Dograh AI offers that Dasha AI doesn’t

The Bottom Line: Is Dasha AI Worth It ?

Dasha AI offers precise, usage-based pricing, billing only for connected talk time, though enterprise users may want more visible cost calculators. While the GUI and portal tools could need further development, and there’s a slight learning curve with occasional minor glitches, the platform’s flexibility and powerful AI capabilities make it a strong choice for automating calls and customer interactions.

Build a free AI Voice Agent with Dograh Today

Interested in leveraging Dograh for lead generation, cold calling or business automation ? Here’s a streamlined path to getting started, along with direct links to essential resources :

1. Dograh AI: Quick Start Demo

2. Run Docker Command

Download and Start Dograh first startup may take 2-3 mins to download all images

Docker

3. Quick Start Instructions

Step by step written guide to building and deploying your first voice AI Agent

• Open Dashboard: Launch http://localhost:3000 on your browser.
• Choose Call Type: Select Inbound or Outbound calling.
• Name Your Bot: Use a short two-word name (e.g., Lead Qualification).
• Describe Use Case: In 5–10 words (e.g., Screen insurance form submissions for purchase intent).
• Launch: Your bot is ready! Open the bot and click Web Call to talk to it.

4. Community & Support

Join Slack Community and discuss issue with Dograh experts :

Join Slack Community

5. Additional Resource

Cost Optimization Strategies

DashaScript allows agents to be customized for specific business needs and workflows, while Bring Your Own Carrier (BYOC) lets organizations connect their own VoIP or SIP services instead of using Dasha’s default telephony. This reduces per-minute costs for inbound and outbound calls, making high-volume operations more cost-efficient and scalable.

Final Thoughts

Dasha AI’s pricing is fair and scalable, focusing on efficiency and measurable outcomes rather than flat rates. Users can set rate limits, usage quotas, and monitor real-time dashboards to manage resources. Regular audits of Dasha API analytics help identify costly patterns in prompt flows or long calls, allowing scripts to be optimized for better performance and lower costs.

FAQ’s