OpenAI: GPT Audio
Analysis Summary
OpenAI’s GPT Audio is a text-and-audio model that accepts and generates audio, with tool use, function calling, and a 128K context window. Those capabilities make it relevant to voice-based interfaces and workflows that need to connect spoken input with external actions. The provided data contains no benchmark results, so its reasoning quality, coding ability, and reliability are not established here.
For business workflows, the audio modality is its clearest potential advantage. It may be worth testing for voice experiences where speech input and output are central, but the data does not establish transcription quality, speech latency, or performance on customer-facing conversations. Its listed input and output prices are 2.5 and 10, respectively, which warrant cost testing before large-scale use.
Adopt only for a defined audio use case, and validate quality and tool behavior with a controlled pilot before routing client traffic.
Assessed September 23, 2026
Editorial notes
GPT Audio combines text and audio input and output with function calling, tools, and a 128K context window; the supplied data includes no benchmark results to establish its reasoning or production reliability.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
GPT Audio combines text and audio input and output with function calling, tools, and a 128K context window; the supplied data includes no benchmark results to establish its reasoning or production reliability.
How OpenAI: GPT Audio compares
Its 128K-token context window is larger than 37% of the models we list. At $2.50 per million input tokens it is cheaper than 11% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.50 | $0.002500 |
| Output | $10.00 | $0.010000 |
What would OpenAI: GPT Audio cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT Audio for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT Audio
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced..
Frequently asked questions about OpenAI: GPT Audio
How much does OpenAI: GPT Audio cost?
OpenAI: GPT Audio costs $2.50 per million input tokens and $10.00 per million output tokens.
What is the context window of OpenAI: GPT Audio?
OpenAI: GPT Audio has a context window of 128,000 tokens (128K).
What can OpenAI: GPT Audio do?
OpenAI: GPT Audio supports tool use and function calling.
Who created OpenAI: GPT Audio?
OpenAI: GPT Audio is developed by OpenAI and was released on January 19, 2026.