Open AI announces two new models- GPT-transcribe and GPT-live-transcribe
It supports unstructured context, keyword hints, and multiple language hints to improve transcription of domain terms, multilingual audio, and code-switching.PricingPricing is based on the number of tokens used, or other metrics based on the model type. For tool-specific models, like search and computer use, there’s a fee per tool call. Below is a list of all available snapshots and aliases for GPT Transcribe.gpt-transcribegpt-transcribegpt-transcribe
- ▪It supports unstructured context, keyword hints, and multiple language hints to improve transcription of domain terms, multilingual audio, and code-switching.PricingPricing is based on the number of tokens used, or other metrics based on th
- ▪For tool-specific models, like search and computer use, there’s a fee per tool call.
- ▪Below is a list of all available snapshots and aliases for GPT Transcribe.gpt-transcribegpt-transcribegpt-transcribe
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,683 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | OpenAI Developers |
| Canonical URL | https://developers.openai.com/api/docs/models/gpt-transcribe |
| Publication time | Wed, 29 Jul 2026 01:52:07 +0000 |
| Retrieval time | 2026-07-29T02:31:19.838Z |
| Last seen | 2026-07-29T02:31:19.838Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | DlaFTBoknQUv · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ModelsGPT TranscribeDefaultHigh-accuracy speech-to-text model for file and Realtime input transcriptionHigh-accuracy speech-to-text model for file and Realtime input transcriptionComparePerformanceHighestSpeedMediumPrice$0.0045PriceInputAudio, textOutputTextGPT Transcribe is a speech-to-text model for completed audio files, streamed file transcripts, and committed turns in Realtime sessions over WebSocket. It supports unstructured context, keyword hints, and multiple language hints to improve transcription of domain terms, multilingual audio, and code-switching.PricingPricing is based on the number of tokens used, or other metrics based on the model type. For tool-specific models, like search and computer use, there’s a fee per tool call.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at OpenAI Developers.
Discussion
0 commentsMore from OpenAI Developers
