GPT Live Transcribe
GPT Live Transcribe by OpenAI: specification and list price in the odnoga catalog. Not served through the odnoga gateway yet — see which models you can call today.
GPT Live Transcribe is listed by OpenAI in the odnoga catalog for its specification and price. odnoga does not serve it through the gateway yet.
Specification and price
| Vendor | OpenAI |
|---|---|
| Model ID | gpt-live-transcribe |
| Served on | Not served through odnoga yet |
| Pricing | Per media unit (second / image / minute) — see pricing |
| Capabilities | Streaming |
Vendor cost is the list rate for this model as recorded in the odnoga catalog — per second, image or minute, not per token; your price applies your plan margin with the same formula that bills every request — see pricing. Pricing
In the catalog, not yet callable
odnoga tracks GPT Live Transcribe's specification and list price, but does not serve it through the gateway yet.
We would rather say so here than let you find out from an error. If you need this model, tell us — knowing who is waiting is how we decide what to add next.
What GPT Live Transcribe can do
Everything below is what the model itself supports, as recorded by the vendor. odnoga does not route to it yet, so none of it is reachable through the gateway today.
Tokens arrive as they are produced, so your interface can answer immediately.
Beyond text
Takes recorded speech as input.
Holds a spoken conversation in real time, with interruptions.
How to use GPT Live Transcribe
Derived from the odnoga catalog record for this model.
Best for
- Turning text into speech, or speech into text, on the audio endpoints rather than the chat one.
Not the right pick when
- Anything that needs to read an image — this model takes text only.
- Agent loops that must call your functions — tool calling is not available here.
- Pipelines that require guaranteed JSON — parse defensively or pick a model with enforced JSON.
- Anything where a wrong answer is costly without a human check — no model in the catalog removes that requirement.
Practical tips through odnoga
- 01Pin the model id in a managed prompt version, so a model swap is a version change you can compare and roll back, not an edit in application code.
- 02Compare it against 2–8 other models on the same frozen test cases in the evaluation laboratory before you make it the production default.
- 03For repeated identical deterministic calls, odnoga answer reuse returns the stored answer and bills no vendor tokens — turn it off for creative output.
- 04Set a fallback model on the route so a vendor incident degrades quality instead of returning an error, and a per-tenant budget so one caller cannot spend the month.
If GPT Live Transcribe is not the one
Models that take the same kind of input, are priced the same way, and do the closest thing to what this one does. Not a quality ranking — odnoga does not benchmark models.
| Model | Context | Input / 1M | Output / 1M | Capabilities |
|---|---|---|---|---|
| GPT Live Transcribe | — | — | — | Streaming |
| GPT Realtime Whisper | — | — | — | Streaming |
| GPT Realtime Translate | — | — | — | Streaming |
| GPT Transcribe | — | — | — | — |
Questions
- How much does GPT Live Transcribe cost per 1M tokens?
- OpenAI lists — / — per 1M input / output tokens in the odnoga catalog. Through odnoga you pay that vendor price plus your plan margin, and every request is recorded with both numbers.
- What is GPT Live Transcribe best for?
- Turning text into speech, or speech into text, on the audio endpoints rather than the chat one.
- Can I switch to GPT Live Transcribe without changing my code?
- Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "gpt-live-transcribe" as the model id — or changing it in the managed prompt version, with no application deploy.
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