GPT Audio Mini
OpenAI · released Jan 19, 2026
Speech to speechTakes speech and answers in speech
- Type
- Closed
- Input
- $0.60
- Output
- $2.40
- Cached
- None held
List price · per 1M tokens · OpenAI at 128K context · machine-readable source ↗
Our take
Written Sep 3, 2026GPT Audio Mini is a proprietary speech-to-speech model from OpenAI that accepts and returns both text and audio within a 128,000-token request limit. Launched in January 2026, it suits long-form audio sessions but carries no verified accuracy, speed or language coverage data in our records.
Pick this for speech-to-speech workflows where OpenAI ecosystem integration matters, or for combined text and audio sessions that need a broad 128,000-token context. Skip it if you need measured accuracy, speed benchmarks, or any confirmed language support beyond English.
The case for it
- 128,000-token request limit supports long-form audio or extended mixed text-audio sessions.
- Tight ecosystem integration for teams already building on OpenAI's stack.
The case against it
- No verified accuracy data: read-aloud, podcasts, accented speech and meetings are all unmeasured.
- Speed is unverified on one host and undisclosed on the other; only one of two offers lists throughput.
- No language list held, so coverage beyond English is unverified.
How good is it?
We hold no score for this model.
The Open ASR Leaderboard is where a model that turns speech into text gets measured, and GPT Audio Mini is not on it — so we hold no accuracy figure for it, rather than a poor one.
Where to rent it
Prices checked 2 hours ago — each listing carries its own date.
OpenAI, direct
The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 128K of context.
- per 1M tokens
- $0.60 in / $2.40 out
- Context served
- 128K
- Throughput
- ~86 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.60 / $2.40checked 2 hours ago | 128K | not measured | Unknown | Unknown | Unknown |
| OpenAIDirect | $0.60 / $2.40checked 2 hours ago | 128K16K max reply | 86 tok/s | No | Yesunknown period | Unknown |
OpenRouterAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| OpenAIDirect | ✓ | ✓ | ✓ |
Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We hold no cached-input rate for any of its listings.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text and audio in, text and audio out
- Catalogue slug
- openai-gpt-audio-mini