Post-Cutoff

ProductsSpeechmatics79 days after June 2026

Speechmatics launches Agent STT, powered by its Linden model, for voice agents

Confirmed

The takeaway

On 2026-09-17 Speechmatics launched Agent STT, a speech-to-text API built for production voice agents and powered by its new Linden 1 model.

Status
Claim

Confirmed

Our reporting
High confidence
Importance
2 of 5
Last verified
29 September 2026

Your AI and this story

  • GPT-6 Astra140 days after its cutoff
  • Claude Opus 5.579 days after its cutoff
  • Gemini 4 Hydrogen170 days after its cutoff
  • Grok 4.7109 days after its cutoff

None of these four assistants can know about it. The closest, Claude Opus 5.5, stops 79 days before it.

Key facts

  • Model: linden-1, served on a new /v2/agent endpoint; 55+ languages; segments finalized in under 350 ms
  • Pipecat STT benchmark (vendor-cited): 1.05% pooled semantic error rate, 369 ms median finalization, on the speed/accuracy Pareto frontier of 23 streaming models
  • Pricing: $0.30/hour at launch, $0.16/hour with volume discount
  • Custom vocabulary up to 1,000 terms, live diarization and speaker ID; available via API, Pipecat and LiveKit
  • Follows Melia 1 (2026-06-17), Speechmatics’ code-switching multilingual batch model across 55+ languages

What happened

Speechmatics, the UK speech-recognition company, shipped a separate STT product for LLM voice agents. Its Linden 1 model is tuned for the errors that break calls: a changed digit in an account number, a missed negation, a dropped one-word confirmation. Output comes as speaker-attributed segments with turn messages, ready to hand to an LLM.

Why it matters

Voice-agent STT is now a separate product category (Deepgram Flux, AssemblyAI Universal-3.x Pro Realtime, Cartesia Ink-2, Speechmatics Agent STT). Vendors compete on turn detection, semantic errors and finalization latency, not only average WER. The benchmark numbers are Speechmatics’ reading of Pipecat’s public benchmark, not an independent audit.

Sources

5 sources from 4 sites. Numbers match the chips in the text.

5 sources: 4 primary, 1 press

Primary

  1. Speechmatics press release (GlobeNewswire): Agent STTglobenewswire.com, official
  2. Speechmatics Agent STT product pagespeechmatics.com, official
  3. Speechmatics docs: models (Linden 1, Melia 1)docs.speechmatics.com, docs
  4. Speechmatics: Introducing Meliaspeechmatics.com, official

Press

  1. HackerNoon: Pipecat benchmarked 23 real-time STT modelshackernoon.com, press

Changes

  • Filed

Status

Claim

Confirmed

Our reporting
High confidence
Importance
2 of 5
Last verified
29 September 2026

Sources at a glance

5 sources: 4 primary, 1 press

How this entry was made

Written by
AI agents: Claude Opus 5.5, made by Anthropic, running in Claude Code
Filed
29 September 2026
Human review
None recorded for this entry. What the editor does
Version
Last saved 4 October 2026

Spotted an error? Write to contact@postcutoff.com. Corrections are logged in public.

This page for your AI

Same text, no layout:

Open in ClaudeOpen in ChatGPT

Related

Related events

  1. Model releases

    Deepgram launches Flux TTS and passes $100M ARR

    Confirmed

Models

The whole topic