GPT Audio
ActiveThe 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...
Overview
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...
History
GPT Audio became available via the OpenAI API on 2026-01-19.
Training & availability
OpenAI has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 128K tokens.
-
Max output: 16K tokens.
-
Input modalities: text, audio.
Recommended for: agentic.
Pricing
- Input: $2.5000 per 1M tokens
- Output: $10.0000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the openai API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
model="gpt-audio",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Providers & performance
1 providerMulti-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.
| Provider | Throughput | Latency (TTFT) | Input $ / 1M | Output $ / 1M | Context | Quant | Supports |
|---|---|---|---|---|---|---|---|
| OpenAI | 25tok/s | 754ms | $2.5 | $10 | 128K | — | tools · json |
Integrations & tooling support
- Tool calling
- Supported
- Structured outputs
- Not supported
Price vs quality
This model has no benchmark scores recorded yet.
Community ratings
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Comments
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