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audio model comparison

Eleven v4 Turbo vs TTS-1

Eleven v4 Turbo and TTS-1 are both current audio models, from ElevenLabs and OpenAI. TTS-1 is 63% cheaper per character than Eleven v4 Turbo, $0.000015 vs $0.00004. On Artificial Analysis Speech Arena, Eleven v4 Turbo scores 1330 Elo and TTS-1 1090 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 TurboTTS-1
Price per character$0.00004$0.000015 (better)
Artificial Analysis Speech Arena1330 Elo (#1 of 11) (better)1090 Elo (#9 of 11)
ProviderElevenLabsOpenAI
Release dateSeptember 28, 2026Not reported
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

TTS-1

Best for

  • Low-latency text-to-speech

Watch out for

  • OpenAI no longer lists TTS-1 on its models overview, though its model page and $15 per 1M characters price remain
Full TTS-1 profile

Eleven v4 Turbo vs TTS-1 FAQ

Which is cheaper, Eleven v4 Turbo or TTS-1?

TTS-1 is 63% cheaper per character than Eleven v4 Turbo, $0.000015 vs $0.00004.

Which scores higher on independent benchmarks, Eleven v4 Turbo or TTS-1?

Eleven v4 Turbo leads on Artificial Analysis Speech Arena, 1330 Elo to 1090 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between Eleven v4 Turbo and TTS-1?

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