OpenAI: GPT Audio Mini
Analysis Summary
GPT Audio Mini is OpenAI's smaller audio-oriented model, supporting text and audio input with text and audio output. Tool use, function calling, and a 128K context window give it a practical foundation for conversational interfaces and workflows that need structured actions alongside voice interaction.
For an agency, the clearest applications are voice assistants, audio-based customer intake, transcription-led content processes, and lightweight support automation. The pricing is lower than the full GPT Audio model, which makes it the more sensible option for routine audio traffic when its quality is sufficient. No intelligence, coding, or instruction-following benchmark data is supplied, so teams should validate transcription quality, turn-taking, and tool reliability before placing it on a client-facing workflow. Adopt it for audio-first prototypes and volume-sensitive implementations rather than high-stakes reasoning.
Assessed August 9, 2026
Editorial notes
GPT Audio Mini combines audio input and output with tool use, function calling, and a 128K context window. It suits voice-enabled workflows, although no benchmark data is supplied for capability calibration.
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DFO Verdict
GPT Audio Mini combines audio input and output with tool use, function calling, and a 128K context window. It suits voice-enabled workflows, although no benchmark data is supplied for capability calibration.
How OpenAI: GPT Audio Mini compares
Its 128K-token context window is larger than 38% of the models we list. At $0.60 per million input tokens it is cheaper than 35% 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.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $2.40 | $0.002400 |
What would OpenAI: GPT Audio Mini cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT Audio Mini for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT Audio Mini
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million..
Frequently asked questions about OpenAI: GPT Audio Mini
How much does OpenAI: GPT Audio Mini cost?
OpenAI: GPT Audio Mini costs $0.60 per million input tokens and $2.40 per million output tokens.
What is the context window of OpenAI: GPT Audio Mini?
OpenAI: GPT Audio Mini has a context window of 128,000 tokens (128K).
What can OpenAI: GPT Audio Mini do?
OpenAI: GPT Audio Mini supports tool use and function calling.
Who created OpenAI: GPT Audio Mini?
OpenAI: GPT Audio Mini is developed by OpenAI and was released on January 19, 2026.
