Cartesia vs ElevenLabs
100s of AI natives chose Cartesia over ElevenLabs.
See why ServiceNow, Decagon, and Quora run their real-time production voice agents on Cartesia.
Ranked #1 in Speech Arena
Hear why listeners preferSonic 3.6 over ElevenLabs
Chosen 92% of the time in blind US English tests.
“I understand things are difficult right now. We can start with a smaller amount, around $35 a month, and adjust it later. There's no pressure to commit to more than you can manage.”
Eleven v3
Sonic 3.6
Eleven reasons why companies choose Cartesia over ElevenLabs
Human-like naturalness
Intonation, pacing, pronunciation, emotion, and audio quality that drive higher completion rates
Cartesia1282 EloElevenLabs1177 EloEleven v3, non-streaming1103 EloTurbo v2.5 and Multilingual v21084 EloFlash v2.5August 2026
Emotional inference
Moves escalation rates and satisfaction scores.
CartesiaEmotion inferred from context, with optional emotion tags for explicit controlElevenLabsEmotion tags not available at all on the realtime models. Poor model-level emotional inference.Multilingual and accent authenticity
Comprehension and trust across a global customer base.
Cartesia44 languages and native accents with consistent quality across marketsElevenLabsOnly 32 languages available in realtime models, and quality varies across themSpeed
Decides whether it feels like a conversation or a phone tree.
Cartesia<90ms to first audioElevenLabs~250ms on realtime models and even slower on non-streaming modelsConsistency
At scale, the spread in latency matters more than the average.
CartesiaResponse times stay tightly clustered (σ = 62ms), so speed doesn't drop off from call to callElevenLabsLatency swings widely (σ = ~850ms)Scalability
Performance in a traffic spike, and the SLA you can offer your own customers.
CartesiaSSM streaming, 99.9% uptime SLAElevenLabsTransformer architecture hits compute limits at scale, no comparable SLA guaranteeReliability
Whether structured data comes through on the call.
CartesiaCodes, numbers, and IDs exact, every languageElevenLabsHallucinates on phone numbersIntegration flexibility
Sets your deployment timeline and how long you stay dependent.
CartesiaLatest models available to everyone, 1-2 weeks to migrateElevenLabsLatest models only available on ElevenAgentsSecurity and compliance
Decides whether regulated teams can use it at all.
CartesiaOn-prem and air-gapped already used by major government, healthcare, and financial institutionsElevenLabsOn-prem in early access with 7-figure USD minimum commit requirementsChoice of speed & quality
Most models are SOTA in only one parameter
CartesiaFast, expressive, and multilingual in one market-leading modelElevenLabsMakes you choose between fast, expressive, or multilingual from a menu of modelsCost
Great models don't need to be expensive
Cartesia~50% cheaper than ElevenLabs, compute efficient at scale, flexible Enterprise tiersElevenLabsHigh minimum commits, transformer architecture not compute efficient and ~2x more expensive
Voice quality
Sonic 3.6 outscores every ElevenLabs model on blind preference tests
- #1 of the 94 models on the Artificial Analysis Provider Voice Arena.
- Elo scores come from head-to-head comparisons: a 105-point lead over Eleven v3 means listeners consistently pick Sonic 3.6 when the two are played side by side.
Provider Voice Arena Elo
Higher is better
Naturalness
Native speakers prefer Sonic 3.6 in every language we tested against Eleven v3
- Blind head-to-head tests across English, Spanish, Portuguese, and French, from 67% of the vote in Brazilian Portuguese to 92% in US English.
- Open a row to hear the two clips the panel compared.
Vote Share from Blind Listener Preferences
Methodology: matched each Eleven v3 voice to a comparable Sonic 3.6 voice, generated audio from identical transcripts, then had native-speaker panels blind-rate each pair.
Speed
Four times faster than the fastest ElevenLabs model
- Every ElevenLabs model crosses the one-second mark at P90, which is long enough for a caller to notice a lag or start talking over the agent.
- P90 latency shows what happens on your worst calls, not just your best ones — as measured by Coval, an independent voice AI evaluation platform.
Latency at P90
Lower is better
Latency variation
Fast on the slow calls, not just the average
- Sonic 3.5's response times stay tightly clustered (σ = 62ms), so speed doesn't drop off from call to call.
- ElevenLabs' latencies swing widely (σ = 851-877ms), meaning some calls lag badly even when the average looks fine.
Latency Variation: Distribution of TTFA values
Frequently asked questions
Get started today
Talk to an expert.
Connect with a member of our team and learn how Cartesia can help you build world-class voice experiences.
Start building.
Access our models via API and bring a voice agent into production in minutes.