GPT Live TranscribePricing
$0.017 per minute (same as OpenAI's official rate, no markup), charged by the audio duration transcribed in real time. Usage is settled to the second, rounded up to the next whole second.
Input Modalities
- Text
Output Modalities
- Text
Frequently asked questions
More models from OpenAI
See all OpenAI models →- Input: $ 10 /M
- Output: $ 50 /M
- Web Search: $0.01/request
GPT-6 Astra is OpenAI's newest and most intelligent model, with industry-leading performance in computer operations, web browsing, software engineering, scientific research, and professional work. It excels at executing multi-step workflows across code, browsers, and various professional software. Astra can achieve better results with significantly fewer output tokens, making its estimated API cost per task lower.
GPT-Image-2.5 Flare is OpenAI's latest image model, the fastest and suited for everyday high-quality image generation. It accepts text and image inputs and produces image outputs. The model supports quality settings: low, medium, high, xhigh, max, and auto.
GPT Image 2.5 Sunburst is OpenAI's latest image model, capable of generating and editing images from text and image inputs. It is suitable for workflows that require extremely high editing precision. The model supports quality settings: low, medium, high, xhigh, max, and auto.
- Input: $ 4 /M
- Output: $ 20 /M
- Web Search: $0.01/request
GPT-5.6 Sol (limited-time 50% off) is OpenAI’s frontier reasoning model for complex coding, professional knowledge work, deep research, and long-running agents. It supports a roughly 1.05M-token context window, image understanding, and extensive tool use. Compared with Terra and Luna, Sol prioritizes capability and reliability on demanding tasks.
- Input: $ 0.2 /M
- Output: $ 1.2 /M
- Web Search: $0.01/request
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
- Input: $ 4 /M
- Output: $ 20 /M
- Web Search: $0.01/request
GPT‑5.6 Sol sets a new standard for both intelligence and efficiency, achieving state-of-the-art results across coding, knowledge work, cybersecurity, and science while outperforming previous and competing frontier models with fewer tokens and at lower estimated cost.
