As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/m/speechmatics-linden-1/

# Speechmatics Linden 1 (Agent STT)

Speechmatics, Speechmatics STT family. Status: current. Type: speech and audio. Released: 2026-09-17.

## How to call it

| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Speechmatics Agent STT API | `linden-1` | /v2/agent (regions eu1 / us1 .asr.api.speechmatics.com) | https://docs.speechmatics.com/speech-to-text/models |
| Pipecat |  |  | https://www.speechmatics.com/voice-agents |
| LiveKit |  |  | https://docs.livekit.io/agents/models/stt/speechmatics/ |

## Pricing

- Per hour: $0.30
- Unit as published: USD per audio hour launch pricing; $0.16/hour with volume discount
- Source: https://www.globenewswire.com/news-release/2026/09/17/3364138/0/en/speechmatics-launches-agent-stt-for-the-speech-errors-that-derail-voice-agents.html
- Last checked: 2026-09-29

## Specs

- Input: audio
- Output: text
- Context window: not published
- Max output: not published
- Open weights: no
- Licence: proprietary

## Where it stands

- Newer speech and audio models in the registry since its release: 24. The 5 newest:
  - NVIDIA Nemotron 3.5 Transcribe (30B-A4B) (2026-10-28) https://postcutoff.com/m/nemotron-3-5-transcribe/
  - Hy-SimulMT-30B-A3B (2026-10-22) https://postcutoff.com/m/hy-simulmt-30b-a3b/
  - Eleven Realtime v1 Max / Mini (2026-10-20) https://postcutoff.com/m/eleven-realtime-v1-max/
  - Voxtral Mini Transcribe 3 (+ Mini Transcribe Realtime 3) (2026-10-20) https://postcutoff.com/m/voxtral-mini-transcribe-3/
  - Voxtral Small Transcribe 3 (2026-10-20) https://postcutoff.com/m/voxtral-small-transcribe-3/
- Before it from Speechmatics: Speechmatics Melia 1 (multilingual STT) (2026-06-17) https://postcutoff.com/m/speechmatics-melia-1/
- Closed weights; access is hosted only.

## What stands out

- STT output shaped for LLM voice agents: Returns speaker-attributed segments with turn messages instead of a running word stream; finalizes segments in under 350 ms; 55+ languages; custom vocabulary up to 1,000 terms; live diarization and speaker ID. Source: https://docs.speechmatics.com/speech-to-text/models
- Low semantic error on Pipecat benchmark: 1.05% pooled semantic error rate and 369 ms median finalization on the Pipecat STT benchmark (23 streaming models), on the speed/accuracy Pareto frontier, per Speechmatics. Source: https://www.globenewswire.com/news-release/2026/09/17/3364138/0/en/speechmatics-launches-agent-stt-for-the-speech-errors-that-derail-voice-agents.html

## Notes

Targets high-consequence errors in calls (a changed digit, a missed 'not', a one-word confirmation). Benchmark figures are vendor-reported from Pipecat's public benchmark. Sibling batch model: speechmatics-melia-1.

Sources: https://www.globenewswire.com/news-release/2026/09/17/3364138/0/en/speechmatics-launches-agent-stt-for-the-speech-errors-that-derail-voice-agents.html , https://docs.speechmatics.com/speech-to-text/models

Model page: https://postcutoff.com/m/speechmatics-linden-1/