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 24, 2025
Discover key differences between Cartesia and ElevenLabs voice AI models.
Sonic outperforms ElevenLabs Flash V2 with better voice naturalism (61.4% preference in blind tests), faster performance (40ms vs 75ms model latency), and superior features including instant voice cloning (3s vs 30s audio required) and comprehensive voice delivery controls.
Cartesia's voice cloning delivers lifelike, accurate voice replication with unmatched fidelity, only requires 3 seconds of audio.
With a model latency of just 40ms, Sonic provides the fastest and most realistic voice generation available.
Cartesia's AI text to speech eliminates errors, accurately follow complex transcripts like names, addresses, time, medical terms. etc.
Enterprise-grade reliability with 99.9% uptime, SOC2 compliance, and full on-premises support.
In head-to-head evaluations, our blinded human tests showed that Sonic-2 was preferred over ElevenLabs's Flash V2 model by a significant margin (61.4% vs 38.6%).
Blinded human evaluation is a method where evaluators assess generative voice model outputs without knowing which model produced them, helping reduce bias. The process involves presenting outputs from different generative voice model anonymously. This approach prevents evaluators' preconceived notions about specific generative voice model or their developers from influencing their assessment.
We measure latency using the model latency and the Time to First Audio (TTFA) latency from Asia, US and Europe. We calculate the 90th percentile score (P90) from 100 measurements for each provider.
Cartesia's Sonic-2 model achieves a model latency of just 40ms—significantly faster than ElevenLabs' Flash V2 model at 75ms. P90 latency measurements across all three locations demonstrate Cartesia's consistent performance advantage over ElevenLabs. While Cartesia maintains stable latency between 128-135ms, ElevenLabs' latency fluctuates widely from 264ms to 531ms.
This superior performance comes from Cartesia's Sonic model using State Space Models (SSMs), which provide a more efficient architecture for latency optimization than the traditional transformer architecture used by ElevenLabs and other providers.
Cartesia and ElevenLabs exhibit slight differences in sentence pronunciation. Cartesia excels at accurately pronouncing challenging content, such as acronyms, phone numbers, and uncommon words, and supports the International Phonetic Alphabet (IPA) for specialized use cases, like prescription drug names in healthcare. While ElevenLabs also offers reasonably accurate pronunciation, it shows less contextual awareness.
Cartesia requires only 3 seconds of audio recording to create high-quality instant voice clones, while ElevenLabs needs 30 seconds.
Cartesia offers unlimited instant voice cloning in the paid plans, whereas ElevenLabs limits cloning in tiered plans that allow 10, 30, 160, or 660 custom voices.
Cartesia's advanced embedding technology delivers consistent, high-quality voice clones, preserving accents and voice quality even with noisy source audio. With its voice mixing and design capabilities, Cartesia creates a more comprehensive range of diverse voices. The following samples of Engelbart's clones demonstrate how Cartesia produces clearer, higher-quality clones compared to ElevenLabs.
Cartesia stands out as the only provider offering emotion and speed modulation features, enabling refined voice adjustments while preserving a natural and seamless auditory experience.
Cartesia also allows you to localize the voice to match different accents — you can start with an American voice and have it speak in a French accent, for instance. In comparison, ElevenLabs only offers controls for stability, similarity, and style exaggeration, all of which do not offer clear control for the voice.
In the following example where the speaker is addressing a customer complaint, we compare the dial effects from ElevenLabs and Cartesia to find that the ElevenLabs voice sounds similar with the various dials applied while Cartesia's emotion and speed dials convey very noticeable changes.
Same prompts, side by side. Press play to compare Cartesia and ElevenLabs.
Example with noisy background.
Cartesia better matches the original voice as well as the surrounding recording environment
ElevenLabs struggles to separate background noise from human voices, resulting in lower-quality voice clones.
Example with Reporter in Wildfire
Cartesia better preserves the accent and the surrounding recording environment
For example, when pronouncing an abbreviated date like "Dec. 25, 2022," Cartesia delivers a more human-like pronunciation of "December," whereas ElevenLabs tends to interpret it more literally.
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.
Company
Solutions
Capabilities
Company