Data as of October 25, 2026 · How the score is built
GPT Transcribe
Decision readingGPT Transcribe is tracked, but not publicly ranked yet. Published speech or voice results from GPT Transcribe model documentation appear below. They do not produce a weighted text-model score.
Released Jul 28, 2026 — see all recent releases
Voice benchmark evidence
GPT Transcribe model documentation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- gpt-transcribeOpenAI GPT Transcribe model documentation
- Context window
- Not publishedOpenAI GPT Transcribe model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- audio, textOpenAI GPT Transcribe model documentation
- Output modalities
- textOpenAI GPT Transcribe model documentation
- Parameters
- Not disclosed by the provider
- Availability
- OpenAI APIOpenAI GPT Transcribe model documentation
- Cloud regions
- Not tracked yet
- Lifecycle
- activeOpenAI GPT Transcribe model documentation
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordOpenAI model documentation
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track GPT Transcribe, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
GPT Transcribe is a proprietary model. No explicit reasoning mode is documented in this profile.
Available on the OpenAI API since July 28, 2026 as gpt-transcribe through v1/audio/transcriptions and v1/realtime/transcription_sessions, with streaming, unstructured context, keyword hints, and multiple language hints. OpenAI deprecated whisper-1 and the gpt-4o transcribe family on August 26, 2026 in its favour.
GPT Transcribe is a display-only speech-to-text model for recorded audio. Transcription results remain separate from BenchLM’s weighted text-model ranking.
Speech or voice evidence appears above; text-model benchmark coverage remains empty.
Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does GPT Transcribe perform overall in AI benchmarks?
GPT Transcribe has published speech or voice results in GPT Transcribe model documentation. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.
Does GPT Transcribe have full benchmark coverage on BenchLM?
No. GPT Transcribe's speech or voice results appear in GPT Transcribe model documentation, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.
What is the context window size of GPT Transcribe?
GPT Transcribe's provider has not published a context-window limit for this exact model. The profile leaves the value unavailable instead of borrowing a number from an earlier family member or a third-party route. Maximum output length is tracked separately when the provider documents it.