elevenlabs
ElevenLabs: Scribe v2 Medical
elevenlabs/scribe-v2-medical
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog presents ElevenLabs Scribe v2 Medical as an audio-to-transcription model tuned for clinical and medical terminology. It lists word-level timestamps, optional speaker diarization, and audio-event tagging, making it potentially useful for clinical documentation workflows. The available evidence is a catalog record only; no independent model card or measured performance results were included, so capabilities and production fit should be validated on representative audio.[1]
Strengths
Limitations
- Evidence is catalog-only: the source pack did not include an independent model card, provider documentation, or measured accuracy for medical transcription.[1]
- Supported languages, audio duration or format limits, latency, privacy terms, deployment requirements, and measured timestamp or diarization quality are not reported; validate them on the intended workload.[1]
Where to use it
Sources
- [1] OpenRouter catalog · ElevenLabs: Scribe v2 MedicalSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
ElevenLabs Scribe v2 Medical is a speech-to-text model tuned for clinical and medical terminology, with word-level timestamps, optional speaker diarization, and audio-event tagging.
Specifications
- Model ID
- elevenlabs/scribe-v2-medical
- Canonical ID
- elevenlabs/scribe-v2-medical-20260929
- Creator
- elevenlabs
- Added to OpenRouter
- 07.10.2026
- Context length
- 0
- Modality
- audio->transcription
- Input modalities
- audio
- Output modalities
- transcription
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| ElevenLabs | 0 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.