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audio model comparison

Eleven v4 vs Eleven v4 Turbo

Eleven v4 and Eleven v4 Turbo are both current audio models, from ElevenLabs. Eleven v4 Turbo is 50% cheaper per character than Eleven v4, $0.00004 vs $0.00008. On Artificial Analysis Speech Arena, Eleven v4 scores 1326 Elo and Eleven v4 Turbo 1330 Elo (Artificial Analysis, measured October 13, 2026).

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

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

FactEleven v4Eleven v4 Turbo
Price per character$0.00008$0.00004 (better)
Artificial Analysis Speech Arena1326 Elo (#2 of 11)1330 Elo (#1 of 11) (better)
ProviderElevenLabsElevenLabs
Release dateSeptember 28, 2026September 28, 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

Best for

  • Expressive narration and dialogue
  • Multilingual voice content

Watch out for

  • ElevenLabs' blind-test preference claims are its own; the independent rating is recorded below
  • For low latency ElevenLabs points to Eleven v4 Turbo
Full Eleven v4 profile

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

Eleven v4 vs Eleven v4 Turbo FAQ

Which is cheaper, Eleven v4 or Eleven v4 Turbo?

Eleven v4 Turbo is 50% cheaper per character than Eleven v4, $0.00004 vs $0.00008.

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

Eleven v4 Turbo leads on Artificial Analysis Speech Arena, 1330 Elo to 1326 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between Eleven v4 and Eleven v4 Turbo?

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