Primary use stated or inferred cautiously from official documentation.
O
OPENAI / gpt-transcribe
GPT‑Transcribe
Specialized high-accuracy transcription model for files and real-time audio inputs.
01 / SUMMARY
The essential
Maximum input capacity when published by the source.
Documented maximum generation limit.
Verified availability channels.
Primary functional family and verified specialties.
Declared terms for API access, model weights, or self-hosting.
02 / TECHNICAL SHEET
Limits and integration
| API ID | gpt-transcribe |
|---|---|
| Model type | Voice and audio |
| Access model | Paid proprietary |
| License | Proprietary |
| Deployment | Hosted API |
| Release | 2026 |
| Knowledge cutoff | Not published |
| Entrance | Audio |
| Exit | Text |
| Context window | Audio via file or streaming |
| maximum output | Transcription |
| Reasoning | Not applicable or not published |
| Published tools | |
| Structured Outings | Not applicable or not published |
| Batch processing | Not published |
| Prompt cache | Not published |
| Fine-tuning | Not published |
| Verified platforms | OpenAI Audio API |
Transcription, subtitling, and audio preparation for search or analysis.
Evaluate WER by language, noise, accents, diarization, and domain vocabulary.
03 / CAPABILITIES
What it can do
Orientation
Transcription, subtitling, and audio preparation for search or analysis.
Context
Audio via file or streaming · Transcription
Tools and integration
Not published
Access
OpenAI API
Input modalities
Audio
04 / PRICES
Documented cost
| Concept | Worth | Unit/condition |
|---|---|---|
| Standard input | Not published | Standard API rate |
| Cached input | Not published | Reading reused prefixes |
| Cache write or storage | Not published | The condition varies by provider |
| Standard output | Not published | May include reasoning tokens |
| Batch input | Not published | Asynchronous processing |
| Batch output | Not published | Asynchronous processing |
Consult the primary source: the billing unit depends on the model type and access channel.
i Prices change and may depend on level, region or context length. Check the source before making a decision.
05 / EVALUATIONS
How to read the results
“
A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.
| Benchmark | Result | Metric | Source |
|---|---|---|---|
| Evaluación ASR GPT‑Transcribe | Published | Transcription accuracy | View source ↗ |
Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.
06 / VERSIONS
Chronology
GPT‑Transcribe
Version added to Inferama's verified catalog.
ANALYSIS
Related analysis
GPT‑Transcribe ASR Evaluation: How to Measure Text, Speakers, and Timestamps Without Hiding Errors That Break Downstream Workflows
A useful automatic speech recognition evaluation cannot be reduced to a single accuracy percentage. This guide proposes a protocol for separately measuring text fidelity, critical entities, speaker attribution, timestamps, segmentation, and the validity of the output consumed by an application. The goal is to compare versions and configurations reproducibly, then decide with evidence when to promote, restrict, or block a deployment.
23 Sep 2026 ↗
GPT-Transcribe: what a team should revalidate before replacing its transcription system
GPT-Transcribe is listed as a transcription model available through the OpenAI API. Before replacing an existing ASR system, teams should validate not only the resulting text, but also the technical contract that supports search, summaries, alerts, quotations, reviews, and compliance records.
22 Sep 2026 ↗07 / SOURCES