Models / OpenAI/ GPT Audio

GPT Audio

OpenAI · released Jan 19, 2026

Speech to speechTakes speech and answers in speech

Input: text and audio. Output: text and audio.InputOutput
Type
Proprietary
Input
$2.50
Output
$10.00
Cached
Not published

List price · per 1M tokens · OpenAI at 128K context · source ↗

Our take

Written Aug 3, 2026

GPT Audio is OpenAI's proprietary speech-to-speech model launched in January 2026, handling audio and text in both directions with a 128,000-token request limit. It is an ecosystem bet rather than a measured pick, since no accuracy, speed or language coverage data is available.

Who should pick it

Choose this for real-time speech-to-speech applications where OpenAI ecosystem integration matters, or for voice interactions that need an unusually long context buffer. Skip it if you need verified accuracy, speed benchmarks, or language coverage before committing to a hosted-only model.

The case for it

  • 128,000-token request limit far exceeds typical speech-to-text buffers, enabling long-form audio sessions or document-plus-voice workflows.
  • Hosted by OpenAI directly and through OpenRouter, giving two provider options.

The case against it

  • No verified accuracy or speed data, so performance against any task is unassessed.
  • Hosted only with no measured quality to justify its position in the price range.
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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 is not on it — so we hold no accuracy figure for it, rather than a poor one.

The boards we watch →

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Or rent it from someone else

Cheapest published offer

Why this differs from the header. The strip above quotes OpenAI's own list price. This is the cheapest live offer at the widest standard context we hold, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$2.50 in / $10.00 out
Context served
128K
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouter$2.50 / $10.00128Knot measuredUnknownUnknownUnknown
OpenAI$2.50 / $10.00128K16K out71 tok/sNoYesunknown periodUnknown

Across the 2 listings we hold: 1 say they do not train on prompts, 0 say they do and 1 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenRouter
OpenAI

Tool calling: 2 of 2 listings say yes. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.

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When we formed this view

Dates behind this page

Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline
Jan 19, 2026AnnouncedGPT Audio announced by OpenAI

Prices last checked 9d ago

What we do not know about this model yet

  • No board we watch has turned up a score, 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 do not say whether they train on prompts.
  • We hold no cached-input rate for any of its listings.
03

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

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text+audio->text+audio
Catalogue slug
openai-gpt-audio

Machine-readable model card (omc.json) →

Explore furtherWhere to run GPT Audio
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