OpenAI: GPT Audio Mini

Public pricingIntelligence 79/100Medium memory視覚ツール利用

OpenAI: GPT Audio Mini は音声モデルで、コーディング、デバッグ、技術作業に向いています。マルチモーダル入力処理、高いコーディング性能、128K tokensのコンテキスト、バランス型コストの特性を組み合わせ、audio understanding and multimodal input で安定した動作を支えます。遅延・コスト・スループットが重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.60/1M

Output

$2.40/1M

Cached

$0.01/1M

Batch

$0.07/1M

Calculate your GPT Audio Mini bill.

Set your workload — see cost at your exact volume.

What would GPT Audio Mini cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

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 — the questions we see most.

Pricing, capabilities, alternatives — 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 — 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.

Still unsure?

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