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audio model comparison

Eleven v4 Turbo vs Sonic 3.6

Eleven v4 Turbo and Sonic 3.6 are both current audio models, from ElevenLabs and Cartesia. Eleven v4 Turbo is 38% cheaper per character than Sonic 3.6, $0.00004 vs $0.000065. On Artificial Analysis Speech Arena, Eleven v4 Turbo scores 1330 Elo and Sonic 3.6 1286 Elo (Artificial Analysis, measured October 13, 2026).

Data verified October 13, 2026 · Dataset 2026-10-13

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Side by side

Standard-tier prices in effect today. The better value in each row is highlighted.

FactEleven v4 TurboSonic 3.6
Price per character$0.00004 (better)$0.000065
Artificial Analysis Speech Arena1330 Elo (#1 of 11) (better)1286 Elo (#3 of 11)
ProviderElevenLabsCartesia
Release dateSeptember 28, 2026August 27, 2026
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtexttext
Outputaudioaudio

Scores:Artificial Analysis · 2026-10-13

Open both in the interactive comparison

When to choose each

Eleven v4 Turbo

Best for

  • Realtime voice agents
  • Low-latency streaming speech

Watch out for

  • ElevenLabs' latency figures exclude application and network latency
Full Eleven v4 Turbo profile

Sonic 3.6

Best for

  • Multilingual speech for voice agents
  • Indian-language and Hinglish speech

Watch out for

  • Credit-based plans only (1 credit per character); the recorded rate is the Pro plan overage of $65 per 1M characters, falling to $38 on the Scale plan
  • Cartesia does not state latency figures for this version
Full Sonic 3.6 profile

Eleven v4 Turbo vs Sonic 3.6 FAQ

Which is cheaper, Eleven v4 Turbo or Sonic 3.6?

Eleven v4 Turbo is 38% cheaper per character than Sonic 3.6, $0.00004 vs $0.000065.

Which scores higher on independent benchmarks, Eleven v4 Turbo or Sonic 3.6?

Eleven v4 Turbo leads on Artificial Analysis Speech Arena, 1330 Elo to 1286 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between Eleven v4 Turbo and Sonic 3.6?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty