GPT Audio Mini
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OpenAI | 128,000 token context | $0.60/M input, $2.40/M output. 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 tokens and output is priced at $2.40 per million tokens.
Guides for this model
The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans
Open weights vs open source vs API-only: what you are actually allowed to do
Captain's notes
Notes from 2026-10-13
GPT Audio Mini is OpenAI's cost-efficient audio model, built for applications that need natural-sounding voice output without the price tag of the full GPT Audio. The latest snapshot ships an upgraded decoder that improves voice naturalness and consistency. It suits developers building voice interfaces, conversational agents, or any pipeline where audio output volume makes cost a real concern.
Known for
- Upgraded decoder producing more natural-sounding, consistent voices than its predecessor.
- Significantly lower price than full GPT Audio, making high-volume audio output practical.
- 128,000-token context window for handling long conversational turns.
- Designed for production pipelines where audio output is the primary deliverable.
Watch out for
- API-only, closed weights — you cannot run this locally or inspect the model.
- Audio output tokens are priced separately; costs can climb fast in high-volume voice apps.
- OpenAI has not published detailed capability benchmarks for this model.
Prompts to try
Voice assistant greeting
Write a warm, concise welcome message for a customer service voice assistant for a home insurance company. It should introduce the assistant, explain what it can help with, and invite the caller to speak their question. Keep it under 40 words so it sounds natural when spoken aloud.
Podcast intro script
Write a 30-second spoken intro for a weekly technology news podcast called 'Signal and Noise'. The host is direct and a little dry. Mention that this episode covers AI model releases, chip shortages, and one story about a robot that did something embarrassing. Make it sound good read aloud.
Conversational FAQ answer
Rewrite the following text so it sounds natural when spoken by a voice assistant, not read from a screen. Remove any bullet points, abbreviations or formatting. Keep the meaning intact but use short sentences and natural spoken rhythm. Text to rewrite: 'Our return policy allows 30-day returns on all items. Items must be unused and in original packaging. Refunds are processed within 5–7 business days.'
Compare with
- GPT-5.6 LunaAPI-only model1,050,000 token context · $0.20/M input, $1.20/M output
- GPT-4o-miniAPI-only model128,000 token context · $0.15/M input, $0.60/M output
- GPT-3.5 Turbo (older v0613)API-only model4,095 token context · $1.00/M input, $2.00/M output
- GPT-5 NanoAPI-only model400,000 token context · $0.05/M input, $0.40/M output
More text models from openai
Questions people ask
- Can I run GPT Audio Mini locally?
- No. GPT Audio Mini is a closed, API-only model from OpenAI — there are no open weights and no way to self-host it.
- What does GPT Audio Mini cost and what is its context window?
- Input is priced at $0.60 per million tokens and output at $2.40 per million tokens, with a 128,000-token context window.
- How does GPT Audio Mini differ from full GPT Audio?
- GPT Audio Mini is the cost-efficient variant; it shares the upgraded decoder for voice naturalness and consistency but is priced lower, making it the practical choice when output volume is high.
Captain's verdictIf you are building a voice product and need to keep audio output costs under control, this is the sensible starting point.
Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.
Ranking badge
Updated Oct 22, 2026
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- Typical model
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GPT Audio Mini is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models and check its heat score to see how it is trending.
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