openaimodel

OpenAI: GPT Audio Mini

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...

text audio cheap long-context

Best for

Speech TranscriptionAudio AnalysisBulk Data ExtractionHigh-Volume Tasks

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Context Window

128K tokens ≈ 284 pages of text

Input Cost

$0.60/1M

Output Cost

$2.40/1M

Latency p50

39ms

Pricing Details

Standard Pricing

Input (per 1M tokens)

$0.60

Output (per 1M tokens)

$2.40

Run it locally

Local run command

# Refer to provider docs:

Presumptive Specs:

Typical GPU

12–24 GB VRAM

System RAM

16+ GB

Disk

20+ GB free

Runtime

Docker / local runtime

Hallucination Score™ (est.)

Community reliability estimate · not official

—

Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price History

Not enough historical data yet. Check back after the next pricing sync.

Provider

openai

Usage & Examples

Learn how to use OpenAI: GPT Audio Mini

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how OpenAI: GPT Audio Mini works best.

Community Prompts

Proven prompts shared by the community for this model

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