OpenAIGPT-4o miniTool use

Gpt 4o Mini Realtime Preview 2024 12 17 pricing

If you are budgeting for Gpt 4o Mini Realtime Preview 2024 12 17, start with the numbers below. We index 2 provider prices. Cheapest input is $0.600 per million tokens. Cheapest output is $2.40 per million tokens. The model lists a 128K context window in our data.

128K context·2 providers·verified Apr 7, 2026
Best input$0.600per 1M tokens · OpenAI
Best output$2.40per 1M tokens · OpenAI

Pricing across providers

Use this table to read Gpt 4o Mini Realtime Preview 2024 12 17 list prices. We show 2 sources right now. Lowest input in the grid: OpenAI. The chart below the table helps when output prices are much higher than input prices.

A
Azure
Input / 1M
$0.660
Output / 1M
$2.64
Cached in: $0.330
O
OpenAInative
Input / 1M
$0.600
Output / 1M
$2.40
Cached in: $0.300

Input vs output · per provider

Cost calculator

Use this block to stress test Gpt 4o Mini Realtime Preview 2024 12 17 cost without a spreadsheet. All estimates come from public list rates in this page.

Provider

In: $0.660/M·Out: $2.64/M·Cache: $0.330/M

0.066000¢ / req

0.132000¢ / req

Daily
$20
Monthly
$594
Annual
$7.2K

Model specifications

These fields describe Gpt 4o Mini Realtime Preview 2024 12 17 as we store it (Family: GPT-4o mini. source: OpenAI). They sit next to price so buyers can check limits and tools in one place.

Context window
128,000 tokens
Max output
4,096 tokens
Vision (images)
No
Tool / function calling
Yes
Streaming
No
Released
N/A
Primary provider
OpenAI
Model family
GPT-4o mini

Compare Gpt 4o Mini Realtime Preview 2024 12 17

These links open full side by side pages for Gpt 4o Mini Realtime Preview 2024 12 17. We picked pairs that people often shop together. 6 ready to open.

Frequently asked questions

Read these after the table if you want plain language around Gpt 4o Mini Realtime Preview 2024 12 17 rates.

Gpt 4o Mini Realtime Preview 2024 12 17 costs $0.60 per million input tokens and $2.40 per million output tokens via the native API. Prompt caching reduces input costs to $0.30/M tokens.

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