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ElevenLabs vs Deepgram

Compare ElevenLabs with Deepgram Aura-2 and Flux TTS. Review languages, cloning, pronunciation controls and standalone TTS versus agent pricing.

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ElevenLabs vs Deepgram at a glance

Compare the speech model you will deploy. ElevenLabs offers models for fast responses, long-form narration and expressive delivery, plus voice cloning workflows. Deepgram recommends Flux TTS for English and Aura-2 for its broader language coverage. Its transcription and Voice Agent APIs are separate products with different pricing.

ElevenLabsDeepgram

  1. Model choice

    ElevenLabs
    Flash v2.5 for low latency, Multilingual v2 for long-form speech, and Eleven v3 for expressive delivery.
    Deepgram
    Flux TTS for new English builds; Aura-2 when you need its wider language coverage.

  2. Languages

    ElevenLabs
    Flash v2.5 lists 32 languages; Multilingual v2 lists 29. Check the chosen model rather than a provider-wide total.
    Deepgram
    Aura-2 supports seven languages. Flux TTS currently supports English.

  3. Voice selection

    ElevenLabs
    Voice library plus separate Instant and Professional Voice Cloning workflows.
    Deepgram
    Select a named voice from the chosen TTS model's catalog. Confirm custom-voice requirements separately.

  4. Pronunciation and delivery

    ElevenLabs
    Controls depend on the model. Test expressive delivery separately from a low-latency model.
    Deepgram
    Aura-2 supports speed and IPA pronunciation controls for English and Spanish. Flux TTS controls differ.

  5. Integration scope

    ElevenLabs
    Compare an ElevenLabs TTS request when replacing speech output; scope an agent platform evaluation separately.
    Deepgram
    TTS generates speech. The Voice Agent API combines transcription, LLM integration and speech output.

  6. Streaming and playback

    ElevenLabs
    Measure the selected model through your application's actual player and network path.
    Deepgram
    Flux TTS and Aura use different API versions. Match streaming events and output formats to the selected endpoint.

  7. Billing unit

    ElevenLabs
    ElevenAPI meters TTS by characters. Model and offer affect the rate.
    Deepgram
    Standalone TTS is priced per 1,000 characters. Voice Agent API pricing is per minute.

Why teams choose Cartesia

Rated first by listeners

Sonic 3.6 ranks first on the Artificial Analysis Provider Voice Arena, a blind listening test.

First audio in under 90ms

Sonic streams speech fast enough for a live phone call, on the public API.

44 languages, one model

Native accents in every language, with no model to switch when a caller does.

Enterprise ready

SOC 2 Type II, HIPAA-eligible, on-prem and air-gapped deployment, and a 99.9% uptime SLA.

How they stack up

Pick the model and voice first

  • Compare named models on the same scripts. Include long passages if narration is the job, and short confirmations if it is a voice agent.
  • Use the ElevenLabs cloning guide to choose between Instant and Professional cloning before recording samples.
  • Test pronunciation controls on your own names and terminology. Aura-2's documented controls should not be assumed to work identically in Flux TTS.

Keep the rest of the call constant

  • If you only need a new voice, keep transcription and reasoning fixed while you test speech output.
  • Deepgram's Voice Agent API manages the full conversation pipeline. Evaluate that integration separately from a standalone TTS request.
  • Match codec, sample rate and container to your player. Review Deepgram's media output settings for the endpoint you use.
  • Measure first audible output, interruptions and slower requests under concurrent load.

Compare costs for the same workload

  • Use ElevenAPI pricing and Deepgram's standalone TTS rates for a speech-output comparison.
  • Keep agent-minute charges and transcription costs separate from character-based synthesis.
  • Include the plan needed for your chosen voice workflow, expected volume and support requirements.

Trusted by leading enterprises. Speaking from experience.

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“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.”

Ravi Krishnamurthy

VP Product

“With Cartesia's Sonic model, users can interact with a wide range of high-quality, human-like voices in multiple languages, enhancing their experience on our platform.”

Spencer Chan

Head of Poe Product

“Cartesia is leading the charge of building efficient, multimodal models from first principles, starting with their Sonic TTS model.”

Vipul Ved Prakash

CEO

“We didn’t switch to Sonic 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.”

Akshay Ramaswamy

Staff Product Manager

“Sonic 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.”

Tyler Brown

Voice Expert

“Cartesia Sonic is the best voice model today for real-time multimodal use cases.”

Kwindla Hultman

CEO

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