# GPT Audio Mini - Core.Today AI API > Lightweight multimodal model with native audio input/output capabilities. Optimized for voice-based interactions and audio processing tasks. - **Provider**: OpenAI - **Model ID**: gpt-audio-mini - **Category**: LLM - **Credits**: 1 per 1K tokens (avg) - **Speed**: Fast - **Quality**: High ## Model Specifications - **Context Window**: 128K tokens - **Max Output**: 16K tokens - **Training Cutoff**: 2024-10 - **Supported Formats**: text, json, audio - **Compatible SDK**: OpenAI ### Capabilities - Function Calling - Streaming - JSON Mode - System Prompt ### Token Pricing (per 1M tokens) - **Input Tokens**: 1,115 credits ($0.74) - **Output Tokens**: 4,459 credits ($2.97) ## Features - Native audio input/output - Voice-based interactions - Cost-effective multimodal - Fast response times - Text + audio combined ## Use Cases - Voice assistants - Audio transcription and analysis - Spoken language understanding - Podcast and media processing - Accessibility applications ## API Endpoint Base URL: https://api.core.today Endpoint: POST /llm/openai/v1/chat/completions ## Authentication Header: Authorization: Bearer YOUR_API_KEY Note: LLM endpoints use OpenAI-compatible format with Authorization Bearer token. ## Input Parameters ### Required - **messages**: array - Array of message objects (supports audio content) ### Optional - **temperature**: float (default: 1.0) - Sampling temperature (0-2) - **max_tokens**: integer - Maximum tokens in response ## Examples ### Audio Chat Text-based interaction with audio model ```json { "model": "gpt-audio-mini", "messages": [ { "role": "user", "content": "Describe the key differences between spoken and written language." } ], "max_tokens": 1000 } ``` ## Response Format ```json { "id": "chatcmpl-abc123", "object": "chat.completion", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Response text here" }, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 100, "completion_tokens": 50, "total_tokens": 150 } } ``` ## Tips - Optimized for audio-related tasks - Cost-effective for voice applications - Supports both text and audio modalities - Use for real-time voice interactions ## Documentation https://platform.openai.com/docs/models