GPT Audio Mini
ActiveA cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...
Overview
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...
History
GPT Audio Mini 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: $0.6000 per 1M tokens
- Output: $2.4000 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-mini",
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 | 138tok/s | 674ms | $0.6 | $2.4 | 128K | — | tools · json |
Integrations & tooling support
- Tool calling
- Supported
- Structured outputs
- Not supported
Price vs quality
Standard pricing band. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $1.95/1M
- Pricing breakdown
- $0.6/1M in
$2.4/1M out
Community ratings
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Comments
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