Elise AI
We didn't switch to Sonic 3.5 because it was incrementally better, we switched because nothing else came close… we've seen a 2.9% lift in our conversion and a 12.2% increase in customer engagement.
Updated February 14, 2025
Discover key differences between ElevenLabs and Resemble AI voice models. Learn about features, pricing, and performance.
Eleven Labs offers highly realistic voices with natural prosody and emotion control, while Resemble AI focuses on voice cloning accuracy and fast generation.
Cartesia delivers high-fidelity voice cloning with unmatched accuracy.
Experience lifelike voices that are nearly indistinguishable from human speech.
Enjoy accurate text-to-speech with no errors, handling complex transcripts and industry-specific terms effectively.
Enterprise-grade reliability with 99.9% uptime, SOC2 compliance, and full on-premises support.
When evaluating voice quality, ElevenLabs and Resemble AI present distinct strengths. ElevenLabs achieved a high speech naturalness score, with 89.60% of its outputs rated as very human-like. In contrast, Resemble AI's naturalness ratings vary, but it is recognized for its ability to create diverse voice profiles. The pronunciation accuracy of ElevenLabs stands at 87.13%, while Resemble AI's metrics are still under review. This evaluation highlights how ElevenLabs consistently delivers high-quality voice outputs, while Resemble AI focuses on customizable voice experiences.
Latency is a critical factor in voice AI performance. In our evaluation, we measured the Time to First Audio (TTFA) for both ElevenLabs and Resemble AI. ElevenLabs recorded a 90th percentile TTFA of 200ms, showcasing its ability to deliver quick responses. Resemble AI's TTFA is slightly higher, indicating room for improvement in responsiveness. This evaluation underscores the importance of low latency in real-time applications, with ElevenLabs currently leading in this aspect, making it a preferred choice for applications requiring immediate audio feedback.
In assessing the hallucination rate of ElevenLabs and Resemble AI, we focused on the accuracy of generated content. ElevenLabs demonstrated a low hallucination rate, with only 5% of generated outputs containing inaccuracies or irrelevant information. Resemble AI's performance in this area is still being fine-tuned, but it is known for producing contextually relevant outputs. This evaluation highlights the reliability of ElevenLabs in maintaining content accuracy, while Resemble AI continues to enhance its capabilities in generating coherent and contextually appropriate speech.
In this evaluation, we compare the voice cloning capabilities of ElevenLabs and Resemble AI. ElevenLabs boasts an impressive Word Error Rate (WER) of 2.83%, indicating high accuracy in speech generation. In contrast, Resemble AI's performance metrics are still being refined, but it is known for its flexibility in voice customization. Both models were assessed using a diverse set of prompts, ensuring a comprehensive evaluation of their cloning abilities. ElevenLabs excels in producing lifelike speech, while Resemble AI offers unique voice design options, making them both strong contenders in the voice cloning arena.
When it comes to voice design controllability, ElevenLabs and Resemble AI offer unique features. ElevenLabs allows users to adjust parameters like pitch and speed, providing a degree of customization. In contrast, Resemble AI excels in creating distinct voice profiles, enabling users to design voices that match specific personas. This evaluation reveals that while ElevenLabs provides solid control over voice characteristics, Resemble AI stands out for its innovative approach to voice design, making it a valuable tool for creative applications.
Elise AI
We didn't switch to Sonic 3.5 because it was incrementally better, we switched because nothing else came close… we've seen a 2.9% lift in our conversion and a 12.2% increase in customer engagement.
ServiceNow
Cartesia's state-space models bring enterprise-grade speed and quality to our AI Voice Agents… making it possible for businesses to deploy secure, scalable voice agents that can understand, act, and adapt in real time.
Sierra
Cartesia Sonic 3.5 has become one of the top-performing models for us by combining low latency with natural pacing… helping us deliver strong voice quality across a growing set of languages where other models often fall short.
Callers
Sonic 3.5 has been a meaningful upgrade for Callers… latency and naturalness directly impact conversational flow and user success, and the new model noticeably improves both. We've seen more human interactions — especially in high-volume customer conversations where every millisecond and every turn matters.
Take2 AI
We moved from an incumbent TTS provider to Cartesia because of the support experience. After repeated roadblocks with our previous provider, the difference with Cartesia has been transformative — responsive, technical, and genuinely invested in our success.
Cresta
Sonic 3.5 represents a significant evolution over previous TTS models, delivering refined prosodic rhythm, natural intonation, superior pacing and wider emotional range for more “human” sounding voices.
Bolna
Indian voice agents live or die on whether order IDs, alphanumerics, and multilingual code-switching come out right on a phone line. Sonic 3.5 handles alphanumerics natively… and lands first audio at 100ms p90.
Goodcall
Sonic is the only product in existence with model latency of less than 100 ms, outperforming its next best alternative by a factor of four. This level of performance represents a quantum leap forward.
Quora
Sonic powers audio on Poe across 100+ voices and 14 languages, supporting Quora's millions of users with SOC 2 compliance and unlimited concurrency for enterprise customers.
Fundamento
We run 20M+ outbound calls per month on Cartesia, with peak concurrency of 5,000 calls in a single minute, and 100ms time-to-first-byte — 2x faster than every other voice provider we tested.
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