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
Comparing Voice AI Models: ElevenLabs vs. Narakeet. Discover the strengths of each platform in voice generation and cloning.
Eleven Labs offers highly natural, emotional voices with extensive customization but comes at a premium price. Narakeet provides good quality, cost-effective voices ideal for business content, though less expressive.
Cartesia's voice cloning can create high-quality clones in just 3 seconds.
Experience lifelike voice replication with Cartesia's advanced embedding technology.
Cartesia's voices are nearly indistinguishable from human speech, ensuring natural interactions.
Enterprise-grade reliability with 99.9% uptime, SOC2 compliance, and full on-premises support.
When evaluating voice quality, ElevenLabs stands out with a WER of 2.83%, showcasing its ability to produce clear and coherent speech. In contrast, Narakeet's specific metrics are less documented, making it difficult to assess its performance directly. ElevenLabs achieves high speech naturalness in 44.98% of cases, indicating a more human-like quality in its generated voices. This suggests that ElevenLabs may be the preferred choice for applications requiring high-quality voice output, while Narakeet's performance remains less transparent.
In our latency evaluation, we measured the Time to First Audio (TTFA) for both ElevenLabs and Narakeet. ElevenLabs demonstrated impressive responsiveness, with a 90th percentile TTFA score that indicates quick audio generation. Narakeet's latency metrics are less clearly defined, making it challenging to provide a direct comparison. However, ElevenLabs' ability to deliver audio swiftly positions it as a strong contender for applications requiring real-time voice generation, while Narakeet's performance in this area remains uncertain.
The hallucination rate is a critical factor in evaluating voice AI models. ElevenLabs shows a low hallucination rate, with a WER of 2.83%, suggesting that it generates accurate and contextually relevant speech. Narakeet's specific hallucination metrics are not readily available, making it difficult to draw direct comparisons. This indicates that ElevenLabs may be more reliable in producing coherent speech without introducing inaccuracies, while Narakeet's performance in this regard is less defined.
In this evaluation, we compare the voice cloning capabilities of ElevenLabs and Narakeet. ElevenLabs boasts a Word Error Rate (WER) of 2.83%, indicating high accuracy in speech generation. In contrast, Narakeet's performance metrics are not as widely published, making direct comparisons challenging. ElevenLabs also excels in pronunciation accuracy, achieving high scores in 81.97% of cases. This suggests that ElevenLabs may provide a more lifelike and accurate voice cloning experience, while Narakeet's capabilities remain less defined in the current landscape.
In assessing voice design controllability, ElevenLabs offers a range of customization options, allowing users to fine-tune voice characteristics effectively. With a high pronunciation accuracy of 81.97%, it enables precise control over voice output. Narakeet's capabilities in voice design are less documented, making it challenging to evaluate its flexibility. This suggests that ElevenLabs may provide a more robust platform for users seeking to tailor voice outputs to specific needs, while Narakeet's offerings in this area remain less clear.
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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