OpenAI: GPT Audio Mini

Public pricingIntelligence 79/100Medium memory비전도ꡬ ν™œμš©

OpenAI: GPT Audio Mini은 μ½”λ”©, 디버깅, 기술 μž‘μ—…μ— 맞좘 μ˜€λ””μ˜€ λͺ¨λΈμž…λ‹ˆλ‹€. λ©€ν‹°λͺ¨λ‹¬ μž…λ ₯ μ²˜λ¦¬γ€κ°•λ ₯ν•œ μ½”λ”© μ„±λŠ₯, 128K tokens의 μ»¨ν…μŠ€νŠΈ, κ· ν˜•ν˜• λΉ„μš© νŠΉμ„±μ„ κ²°ν•©ν•΄ audio understanding and multimodal inputμ—μ„œ μ•ˆμ •μ μΈ μž‘μ—…μ„ λ•μŠ΅λ‹ˆλ‹€. 특히 지연, λΉ„μš©, μ²˜λ¦¬λŸ‰κ°€ μ€‘μš”ν•œ κ²½μš°μ— 잘 맞으며, μ•ˆμ •μ μΈ 좜λ ₯, μœ μ—°ν•œ 배포, ν™•μž₯성을 μ€‘μ‹œν•˜λŠ” νŒ€μ— μ‹€μš©μ μž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€.

Input

$0.60/1M

Output

$2.40/1M

Cached

$0.01/1M

Batch

$0.07/1M

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What would GPT Audio Mini cost you?

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Technical specifications

GPT Audio Mini at a glance.

Memory

128,000

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

tiktoken-o200k

Released

Oct 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GPT Audio Mini

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

GPT Audio Mini β€” the questions we see most.

Pricing, capabilities, alternatives β€” generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT Audio Mini costs roughly $141 per month. Input is $0.60 /1M tokens and output is $2.40 /1M tokens.
GPT Audio Mini has a 128,000-token context window (medium memory β€” a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, GPT Audio Mini supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT Audio Mini was released in October 2025, with training data cut off around October 2024.
Models in a similar class include GPT-5.4 Mini, GPT-4.1 Mini, GPT-5 Mini. The "Similar models" section below this FAQ links into each.

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