Speechmatics Melia 1 (multilingual STT)
Speech and audio
melia-1
$0.129 per hour
Speechmatics Linden 1 (Agent STT)
Model idlinden-1
Price$0.30 per hour
Checked29 September 2026
Where it stands
24newer speech and audio models since its release
- NVIDIA Nemotron 3.5 Transcribe (30B-A4B)28 Oct 2026
- Hy-SimulMT-30B-A3B22 Oct 2026
- Eleven Realtime v1 Max / Mini20 Oct 2026
- Voxtral Mini Transcribe 3 (+ Mini Transcribe Realtime 3)20 Oct 2026
- Voxtral Small Transcribe 320 Oct 2026
The 5 newest are listed. All speech and audio models
- Before it from Speechmatics
- Speechmatics Melia 1 (multilingual STT)17 Jun 2026
- Weights
- Closed weights; access is hosted only.
How to call it
3 ways to use Speechmatics Linden 1 (Agent STT), with the model id each provider expects.
| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Speechmatics Agent STT API | linden-1 |
/v2/agent (regions eu1 / us1 .asr.api.speechmatics.com) |
docs.speechmatics.com |
| Pipecat | speechmatics.com | ||
| LiveKit | docs.livekit.io |
Pricing
| Per hour | $0.30 |
|---|
As published: “USD per audio hour launch pricing; $0.16/hour with volume discount”.
Source: globenewswire.com, checked 29 September 2026.
Specs
- Input
- Audio
- Output
- Text
- Context window
- Not published
- Max output
- Not published
- Open weights
- No
- Licence
- Proprietary
- Released
- 17 September 2026
- Status
- Current
- Type
- Speech and audio
What stands out
What its maker marketed at launch, and what people found later, each with its source.
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.
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.
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