gpt-audio-mini
GPT Audio Mini is a lower-cost audio capable conversational model from OpenAI. Use the OpenAI-compatible chat completions API with audio output modalities; audio token usage is billed at the model’s token rates. The Playground may return audio data that is not playable in the browser.
Precio: Entrada: 144 créditos / 1 M de tokens (≈ $0.72); salida: 576 créditos / 1 M de tokens (≈ $2.88).
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GPT Audio Mini API on ModelFold
GPT Audio Mini is a lower-cost audio capable conversational model from OpenAI. Use the OpenAI-compatible chat completions API with audio output modalities; audio token usage is billed at the model’s token rates. The Playground may return audio data that is not playable in the browser. Try GPT Audio Mini in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the GPT Audio Mini API
GPT Audio Mini at a glance
GPT Audio Mini is a chat model from OpenAI. It accepts text and audio as input and returns text, with a context window of up to 128K tokens.
Use it without hosting anything
On ModelFold you call GPT Audio Mini with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of GPT Audio Mini
Up to 128K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands audio
Besides text, GPT Audio Mini accepts audio as input, so a single request can combine instructions with visual or other media.
Function calling
GPT Audio Mini supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use GPT Audio Mini on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how GPT Audio Mini responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "gpt-audio-mini" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with GPT Audio Mini
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Frequently Asked Questions
What is GPT Audio Mini?⌄
GPT Audio Mini is a lower-cost audio capable conversational model from OpenAI. Use the OpenAI-compatible chat completions API with audio output modalities; audio token usage is billed at the model’s token rates. The Playground may return audio data that is not playable in the browser.
Which inputs does GPT Audio Mini support?⌄
GPT Audio Mini accepts text and audio and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of GPT Audio Mini?⌄
Up to 128K tokens, shared between your input and the model’s output.
Does GPT Audio Mini support function calling?⌄
Yes. GPT Audio Mini supports tools / function calling through the standard tools parameter of the chat completions API.
How is GPT Audio Mini billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call GPT Audio Mini through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gpt-audio-mini", using your ModelFold API key as the Bearer token.
| Entrada | 144 créditos 1M tokens≈ $0.72 |
| Salida | 576 créditos 1M tokens≈ $2.88 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gpt-audio-mini","messages":[{"role":"user","content":"Hello"}]}'