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audio model comparison

Eleven Flash v2.5 vs Eleven v3

Eleven Flash v2.5 and Eleven v3 are both current audio models, from ElevenLabs. Eleven Flash v2.5 is 50% cheaper per character than Eleven v3, $0.00004 vs $0.00008. On Artificial Analysis Speech Arena, Eleven Flash v2.5 scores 1078 Elo and Eleven v3 1177 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 Flash v2.5Eleven v3
Price per character$0.00004 (better)$0.00008
Artificial Analysis Speech Arena1078 Elo (#11 of 11)1177 Elo (#7 of 11) (better)
ProviderElevenLabsElevenLabs
Release dateNot reportedNot reported
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtexttext
Outputaudioaudio

Scores:Artificial Analysis · 2026-10-13

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When to choose each

Eleven Flash v2.5

Best for

  • Low-latency multilingual speech

Watch out for

  • Built for latency rather than expressiveness; Eleven v4 Turbo now sells at the same $0.04 per 1,000 characters
Full Eleven Flash v2.5 profile

Eleven v3

Best for

  • Expressive multilingual speech

Watch out for

  • ElevenLabs now calls it a previous-generation model; Eleven v4 replaces it at the same $0.08 per 1,000 characters
Full Eleven v3 profile

Eleven Flash v2.5 vs Eleven v3 FAQ

Which is cheaper, Eleven Flash v2.5 or Eleven v3?

Eleven Flash v2.5 is 50% cheaper per character than Eleven v3, $0.00004 vs $0.00008.

Which scores higher on independent benchmarks, Eleven Flash v2.5 or Eleven v3?

Eleven v3 leads on Artificial Analysis Speech Arena, 1177 Elo to 1078 Elo. Scores are independent evaluations, not either vendor's launch figures.

Production evaluation

Choosing between Eleven Flash v2.5 and Eleven v3?

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