GPT Audio

GPT Audio by OpenAI excels in the Coding category, where it ranks #224 with a composite score of 40/100. The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

GPT Audio is priced at $2.50 per million input tokens and $10.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, GPT Audio holds rank #224 out of 340 models tracked. Its quality rank is #224 and adoption rank is #224. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

GPT Audio has been evaluated across 5 different signals. Its strongest areas include Capabilities (50/100), Pricing (90/100), Context Window (81/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.

GPT Audio is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.

GPT Audio supports a 128K token context window (128,000 tokens total). That translates to roughly 96,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

GPT Audio can generate up to 16K output tokens (16,384 tokens) per response. That is roughly 12,288 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

GPT Audio supports function/tool calling, structured JSON output, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

GPT Audio was developed by OpenAI. It was released on January 19, 2026. You can access it through OpenAI's API. Check our provider page for all models from OpenAI and how they compare against each other.

Pick GPT Audio when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access GPT Audio through OpenAI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.