GPT-4o mini Audio

Technical Specifications of gpt-4o-mini-audio

What is gpt-4o-mini-audio?

gpt-4o-mini-audio is a multimodal AI model designed for applications that combine spoken and written interaction. It can understand speech, process text instructions, generate spoken responses, and support workflows that require fast, interactive exchanges between users and software systems.

This model is well suited for products that need voice-first experiences without giving up structured automation. It can transcribe speech, translate audio across languages, respond conversationally, and trigger tools or functions when an application needs the model to take action beyond plain text generation.

Because it supports both audio and text pathways, gpt-4o-mini-audio is a practical choice for building assistants that listen, think, speak, and coordinate downstream systems. Common use cases include customer support voice agents, meeting and call summaries, real-time captioning, multilingual assistants, and app interfaces controlled by voice.

Main features of gpt-4o-mini-audio

• Audio input and output: Accepts spoken input and can generate spoken responses, enabling natural voice-based application flows.
• Speech recognition: Converts user speech into usable text for downstream reasoning, automation, and interface control.
• Speech translation: Supports translation-oriented workflows for multilingual conversations, captions, and accessibility scenarios.
• Text-to-speech responses: Produces audio replies for interactive assistants, hands-free tools, and spoken user experiences.
• Instruction following: Handles guided prompts reliably for assistant behavior, operational workflows, and domain-specific tasks.
• Streaming responses: Supports incremental output for lower-latency user experiences in real-time voice and captioning systems.
• Function calling: Can invoke tools or application-defined functions for structured actions such as lookups, booking flows, or workflow orchestration.
• Structured JSON output: Useful for systems that need predictable machine-readable responses for parsing, validation, and automation.
• Multimodal app support: Fits products that combine chat, voice, transcripts, summaries, and action-taking in a single experience.
• Production-friendly flexibility: Works well for assistants, support flows, live transcription pipelines, and voice-controlled applications that need both natural interaction and structured outputs.

How to access and integrate gpt-4o-mini-audio

Step 1: Sign Up for API Key

To get started, create a CometAPI account and generate your API key from the dashboard. Store the key securely and load it through an environment variable in your application. This key will be used to authenticate every request you send to the gpt-4o-mini-audio API.

Step 2: Send Requests to gpt-4o-mini-audio API

After obtaining your API key, send HTTPS requests to the CometAPI endpoint using your preferred SDK or HTTP client. Set the model field to gpt-4o-mini-audio and include the appropriate input payload for your use case, such as text, audio, streaming parameters, tool definitions, or structured output instructions.

curl https://api.cometapi.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_API_KEY" \
  -d '{
    "model": "gpt-4o-mini-audio",
    "input": "Transcribe this audio and return a short summary."
  }'

Step 3: Retrieve and Verify Results

When the API responds, parse the returned content based on the format you requested, such as plain text, audio output metadata, streamed events, or structured JSON. Verify that the response matches your expected schema, confirm tool calls if your workflow uses function calling, and log outputs appropriately so your integration with gpt-4o-mini-audio remains reliable in production.