Cartesia vs Bland
Discover the key differences between Cartesia and Bland voice AI models. Learn about their unique features and performance metrics.
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Comparing Cartesia and Bland Voice AI Models
Cartesia offers ultra-fast voice generation with a latency of just 40ms, ensuring real-time interactions. Its voices are ultra-realistic, with no hallucinations, providing clarity and authenticity in every application.
Updated on:
Feb 14, 2025
Features
Cartesia
40ms for the Sonic Turbo model, 90ms for the Sonic 2 model
Consistently rated as more natural, expressive, and realistic in blinded human evaluations
Infinite request length
Requires 3 seconds of audio
IPA support with strong contextual understanding
Slider control for speed and emotion + synthetic voice mixing and design
8kHz audio, telephony optimized voices
Real-time generation on-device
15 languages with extensive dialect coverage
Up to 15 on highest self-serve tier (60 parallel conversations), custom for enterprise
Bland
Typically higher latency, affecting responsiveness
Bland's voice quality is less reliable in evaluations
Has limits but allows for extensive content generation
Not supported
Requires 5 minutes of audio
Bland's pronunciation lacks contextual awareness
Bland offers limited customization options
Bland's telephony optimization is less effective
No supported
20
1000 calls/day, custom limit for enterprise
Cartesia - Advanced AI Voice Capabilities
Cartesia AI offers the fastest voice model with hallucination-free, ultra-realistic voice generation and cloning.
Ultra-Realistic Voices
Cartesia delivers lifelike voices that are nearly indistinguishable from human speech.
High-Quality Voice Cloning
Instantly clone voices with just 3 seconds of audio for rapid, high-quality replication.
No Hallucinations
Experience clear audio with no distortions, ensuring authentic voice replication.
Enterprise-grade reliability with 99.9% uptime, SOC2 compliance, and full on-premises support.
Voice Quality Comparison
In terms of voice quality, Cartesia consistently outperforms Bland. Independent evaluations have shown that Cartesia's Sonic model achieves a score of 4.7 for overall quality, while Bland falls behind with a score of 4.38. Cartesia's voices are rated as more natural and realistic in human evaluations, making them ideal for applications requiring high-quality audio. Furthermore, Cartesia's advanced state space model architecture allows for better clarity and emotional sensitivity, enhancing the overall listening experience.
Latency Performance
Latency is a critical factor in voice applications, and Cartesia excels in this area. Using the Time to First Audio (TTFA) metric, Cartesia's Sonic model achieves a remarkable TTFA of 199 ms, significantly faster than Bland's 832 ms. This efficiency is attributed to Cartesia's innovative State Space Models (SSMs), which optimize latency better than traditional transformer architectures. By measuring the 90th percentile score from 100 TTFA measurements, it's clear that Cartesia provides a superior experience for real-time applications.
Hallucination Rate Analysis
Cartesia's voice cloning technology boasts a no hallucination feature, ensuring crystal-clear audio without errors. This is a significant advantage over Bland, which may experience distortions in voice replication. Cartesia's advanced algorithms maintain authenticity and clarity, making it a reliable choice for applications requiring high fidelity. The focus on eliminating hallucinations enhances user trust and satisfaction, as the output closely resembles natural human speech.
Voice Cloning Showdown
When it comes to voice cloning, Cartesia shines with its ability to create an instant voice clone from just 3 seconds of audio. This feature allows for unlimited instant voice cloning, making it a versatile choice for various applications. In contrast, Bland imposes restrictions on cloning capabilities, limiting the number of voices available. Cartesia employs advanced embedding technology to ensure high-quality voice clones, preserving accents and voice quality even in noisy audio clips. Additionally, its voice mixing and design capabilities provide a wider range of diverse voices.
Voice Design Controllability
Cartesia stands out with its unique voice design controllability features, offering emotion and speed modulation capabilities. This allows users to make refined voice adjustments while maintaining a natural sound. Additionally, Cartesia enables localization of voices to match different accents, enhancing versatility. In contrast, Bland provides limited control options, focusing mainly on stability and similarity, which may not meet the diverse needs of users seeking customized voice experiences.
Pricing Comparison for Cartesia and Bland
Cartesia
Free - $0 per month with 10k free credits
Pro - $5 per month with 100k credits
Startup - $49 per month with 1.25M credits
Scale - $299 per month with 8M credits
Enterprise - trusted by Fortune 500 companies
Bland
Bland offers a basic tier with limited features
Enterprise
What Cartesia Customers Say
Join the growing list of companies opting for Sonic.
"Before conversational voice models like Cartesia, Thoughtly relied on legacy text-to-speech APIs from major cloud providers. Nearly two years later, the evolution of this technology is staggering—customers can clone their voice and hear it speaking autonomously over the phone in just 60 seconds.”
Torrey Leonard, CEO, Thoughtly
"Cartesia's breakthrough voice technology significantly enhances our creative suite, giving creators the freedom to generate any voice they can imagine and furthering our goal of making it easy for anyone to create videos they're proud to share."
Gaurav Misra, Co-Founder and CEO of Captions
"Using Cartesia's generative voice API, Sonic, we’ve strengthened Cresta AI Agent to move beyond rigid scripts and towards delivering empathetic, human-like conversations that accurately represent customer brands and their commitment to excellent customer service. Sonic empowers Cresta AI Agent to resolve complex issues effortlessly, helping our customers gain real value from their AI investment and significantly improve their NPS and CSAT scores."
Tim Shi, Co-Founder & Chief Technology Officer at Cresta
