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audio model comparison

Eleven Flash v2.5 vs MAI-Voice-2.1-Flash

Eleven Flash v2.5 and MAI-Voice-2.1-Flash are both current audio models, from ElevenLabs and Microsoft AI. MAI-Voice-2.1-Flash is 63% cheaper per character than Eleven Flash v2.5, $0.000015 vs $0.00004.

Data verified October 29, 2026 · Dataset 2026-10-29

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Side by side

Eleven Flash v2.5 and MAI-Voice-2.1-Flash, line by line

Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.

FactEleven Flash v2.5MAI-Voice-2.1-Flash
Price
Price per character$0.00004$0.000015 (better)
Independent benchmarks
Artificial Analysis Speech Arena1078 Elo (#11 of 11)Not measured
Specs
ProviderElevenLabsMicrosoft AI
Release dateNot reportedOctober 1, 2026
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtexttext
Outputaudioaudio

No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.

Scores:Artificial Analysis · 2026-10-13

Charts

Against every current audio model

Where Eleven Flash v2.5 and MAI-Voice-2.1-Flash land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

Only Eleven Flash v2.5 has a current Artificial Analysis Speech Arena score: #11 of 11. Each bar is the share of current models it beats.

Eleven Flash v2.5 and MAI-Voice-2.1-Flash among the current audio models, one row per benchmark, price and context window.

Independent benchmarks

Artificial Analysis Speech Arena

Eleven Flash v2.5:#11of 11

1,078 Elo · ahead of 0%

MAI-Voice-2.1-Flash: Not scored

Price and context

Price per character

Eleven Flash v2.5:#5of 10

$0.00004 · cheaper than 44%

MAI-Voice-2.1-Flash:#2of 10

$0.000015 · cheaper than 78%

Cost

What each costs

Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.

The same work, priced

For 1M characters, Eleven Flash v2.5 costs 2.7 times as much as MAI-Voice-2.1-Flash, at each provider's listed rates.

What Eleven Flash v2.5 and MAI-Voice-2.1-Flash cost for the same work, at the rates each provider lists.
  • 1M characters

    Eleven Flash v2.5 costs 2.7× as much

    Eleven Flash v2.5
    $40
    MAI-Voice-2.1-Flash
    $15
Workload or rateEleven Flash v2.5MAI-Voice-2.1-Flash
Example workloads
1M characters$40$15 (better)

Verdict

When to choose each

Eleven Flash v2.5

Where it leads

  • Supports realtime voice

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

MAI-Voice-2.1-Flash

Where it leads

  • Lower price per character, $0.000015 vs $0.00004

Best for

  • Voice agents and call-center assistants
  • High-volume, low-latency speech

Watch out for

  • Microsoft Foundry lists it as a preview, and voice cloning needs Microsoft approval
  • Microsoft's claims of 55% faster inference and about 60% lower cost do not name the models compared

From benchmark to production

Building on Eleven Flash v2.5 or MAI-Voice-2.1-Flash?

Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.

FAQ

Eleven Flash v2.5 vs MAI-Voice-2.1-Flash FAQ

Which is cheaper, Eleven Flash v2.5 or MAI-Voice-2.1-Flash?

MAI-Voice-2.1-Flash is 63% cheaper per character than Eleven Flash v2.5, $0.000015 vs $0.00004.

How much would 1M characters cost with Eleven Flash v2.5 or MAI-Voice-2.1-Flash?

1M characters comes to $40 with Eleven Flash v2.5 and $15 with MAI-Voice-2.1-Flash at their listed rates.

How do Eleven Flash v2.5 and MAI-Voice-2.1-Flash differ in features?

Only Eleven Flash v2.5 supports realtime voice.

Production evaluation

Choosing between Eleven Flash v2.5 and MAI-Voice-2.1-Flash?

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