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Scribe v2 Realtime
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Scribe v2 Realtime is a closed-weights speech-to-text model from ElevenLabs, released November 2025. Licence: proprietary.
Catalogue identity notes
ElevenLabs' streaming STT model, API model_id scribe_v2_realtime (models docs), announced in the ElevenLabs blog 'Introducing Scribe v2 Realtime' published Nov 11, 2025. Distinct from the batch model elevenlabs-scribe-v2 (scribe_v2).
Score within the Open ASR English short-form WER (March 2026) comparison set only.
$ how it compares
The speech-to-text models ranked either side of Scribe v2 Realtime, out of 176 with a score, then more from ElevenLabs.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 79 | 55±3 | local | |||
| 80 | 55±3 | local | |||
| 81 | 55±3 | api $0.0065/audio min | |||
| 82 | 55±3 | local | |||
| 83 | 55±3 | local | |||
| more from ElevenLabs | |||||
| 12 | 66±1 | api $0.0037/audio min | |||
| 30 | 61±2 | comparison only | |||
see all speech-to-text models · find the ones that fit your machine
$ what it's good at
other tests1 not in a task · 96% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Pipecat STT Benchmark · pooled semantic WER (1000 smart-turn samples, Sonnet 5.5 judge) | 3.1% ✎ | ▃·▃▅·▅▅·▃▅██ beats 2/16 | 96% |
$ where to run it
Through an API
api · $0.0065/audio min · elevenlabs.io ↗ · price sourceUSD per input audio minute: ElevenLabs API pricing lists 'Scribe v2 Realtime Speech to Text $0.39 Price per hour' (÷60), same rate on every tier shown. Product: ElevenAPI realtime speech to text. API model: scribe_v2_realtime. Price basis: published list rate, per-hour to per-minute scaling only. Exclusions: keyterm prompting ($0.08/hr) and transcript editing add-ons, subscription fees. Currency: USD. ElevenLabs official API pricing page, observed 2026-10-09.
$ how the score was worked out · Pipecat STT Benchmark · seman… 96%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
| 1 | 96% | |
| prior · pull toward the middle | 4% | |
| weighted average | = 55.2 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json