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Transcribe or understand audio

What spoken material needs text, structure, or a response?

PrivacyNon-sensitive inputsDeploymentHosted service allowedScaleOccasional to moderate volumeLatencyInteractive, not real-timeBudgetBalanced quality and costReliabilityHuman review for consequential output
Refine these assumptions in the Calibration Room

2 candidates. No automatic winner.

These are dated starting points under the disclosed defaults. Evaluate these approaches against your workload.

Quality & reliability

GPT-Realtime-2.1

Inside: tool using agent

LifecyclecurrentVerified2026-08-27Evidence1 provider source + RS interpretationStatuscurrent

A hosted option when the use case needs live audio interaction and tools.

TradeoffReal-time systems add interruption handling latency and safety complexity.

Why?
  • supports audio
  • accepts audio
  • fits quality-reliability
Go deeper

This approach joins the release gpt-realtime-2.1 to the deployment offer openai-gpt-realtime-2-1-api. The recommendation is dated RS interpretation, not a provider ranking.

Technical details

Modalities: text, audio. Access: proprietary. Evidence class: rs-interpretation.

Evaluation plan

  1. Record representative conversations.
  2. Measure turn latency interruptions and task accuracy.
  3. Review tool calls and consent boundaries.
Inspect the model recordProvider source

Control & locality

Cohere Transcribe 03-2026

Inside: document media pipeline

LifecyclecurrentVerified2026-08-27Evidence1 provider source + RS interpretationStatuscurrent

An open-source transcription route for audio that must stay controlled.

TradeoffIt is transcription rather than a full conversational system and has documented feature limits.

Why?
  • supports audio
  • accepts audio
  • fits control-locality
Go deeper

This approach joins the release cohere-transcribe-03-2026 to the deployment offer cohere-transcribe-03-2026-local. The recommendation is dated RS interpretation, not a provider ranking.

Technical details

Modalities: audio, text. Access: open-source. Evidence class: rs-interpretation.

Evaluation plan

  1. Sample languages and acoustic conditions.
  2. Measure word error and missing features.
  3. Record local throughput and review time.
Inspect the model recordProvider source
See what did not enter this shortlist

No additional approaches were evaluated for this job.