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Data as of November 11, 2026 · How the score is built

CurrentProprietaryNon-Reasoning

Released Nov 10, 2026N/A contextElevenLabs model card

Scribe v3

Decision readingScribe v3 is tracked, but not publicly ranked yet. Published speech or voice results from Scribe v3 launch evaluation appear below. They do not produce a weighted text-model score.

Released Nov 10, 2026 — see all recent releases

Voice benchmark evidence

Scribe v3 launch evaluation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.

FLEURS WER, 102-language mean
12.38%
FLEURS WER, Scribe v2
16.94%
FLEURS semantic WER, 102-language mean
4.4%
Diarization error rate, internal 16-language set
5.6%
Diarization error rate, 3+ speakers
8.0%
Price
$0.20 per hour
Provider API ID
scribe_v3

Independent test: DAI-ASR-I18N

Independent test by David AI: real two-person conversations in 21 languages, version 1.4 of 2026-11-10. Places follow David AI's average rank across languages; error rates are lower-is-better.

Transcription place
#2 of 20
Mean error rate
14.02%
Languages covered
21 of 21
Diarization place
#4 of 17
Diarization error rate
23.39%
ElevenLabs launch post and model documentation, read November 11, 2026. Provider-run on an internal copy of FLEURS (October 23–29, 2026) and an unreleased internal meeting and call set (October 26 and November 3, 2026). Each language is scored on its own before averaging. Lower is better. Voice results are display-only.

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Nov 10, 2026 · you are here

    Scribe v3

    Not publicly ranked · Price not listed

Base entry

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
scribe_v3ElevenLabs model documentation
Context window
N/A
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Released November 10, 2026 in the ElevenLabs Speech to Text API (POST /v1/speech-to-text) as scribe_v3, and the default in the ElevenLabs app. ElevenLabs lists 90+ languages in its model table and reports results on 102 FLEURS languages. It keeps the Scribe v2 feature set (word timestamps, speaker diarization, audio tagging) and adds inferred language hints, digits-or-words number output, keyterm prompting of up to 1,000 terms, and plain-English formatting rules. Upgrading from Scribe v2 is a model ID change; Scribe v2 remains available. US by default, with isolated EU, India and Singapore environments, Zero Retention Mode, and HIPAA eligibility under a BAA for enterprise customers.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordElevenLabs model documentation
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Scribe v3, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

Scribe v3 is a proprietary model with a N/A context window. No explicit reasoning mode is documented in this profile.

Released November 10, 2026 in the ElevenLabs Speech to Text API (POST /v1/speech-to-text) as scribe_v3, and the default in the ElevenLabs app. ElevenLabs lists 90+ languages in its model table and reports results on 102 FLEURS languages. It keeps the Scribe v2 feature set (word timestamps, speaker diarization, audio tagging) and adds inferred language hints, digits-or-words number output, keyterm prompting of up to 1,000 terms, and plain-English formatting rules. Upgrading from Scribe v2 is a model ID change; Scribe v2 remains available. US by default, with isolated EU, India and Singapore environments, Zero Retention Mode, and HIPAA eligibility under a BAA for enterprise customers.

Scribe v3 is ElevenLabs’ speech-to-text model for recorded audio, the successor to Scribe v2. It is display-only: transcription results stay separate from BenchLM’s weighted text-model ranking.

Speech or voice evidence appears above; text-model benchmark coverage remains empty.

Last updated November 11, 2026. Runtime fields remain blank until a sourced snapshot exists.

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Questions

How does Scribe v3 perform overall in AI benchmarks?

Scribe v3 has published speech or voice results in Scribe v3 launch evaluation. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.

Does Scribe v3 have full benchmark coverage on BenchLM?

No. Scribe v3's speech or voice results appear in Scribe v3 launch evaluation, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.

What is the context window size of Scribe v3?

Scribe v3 has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

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