How much does GPT-4o mini cost?

GPT-4o mini costs $0.15 per million input tokens and $0.60 per million output tokens on standard pricing; other tiers (Standard, Batch, Fast (Priority)) are also available. A workload of 20M input and 5M output tokens a month is about $6.00.

What is the context length of GPT-4o mini?

GPT-4o mini accepts up to 128,000 tokens (128K) of input and can return up to 16,384 tokens in one response.

Does GPT-4o mini support tool calling and structured outputs?

Yes, GPT-4o mini supports function/tool calling and structured (JSON) outputs. Supported tools: Function calling, Structured outputs, JSON mode, Built-in web search, Log probabilities, Deterministic seed, Prompt caching.

What inputs and outputs does GPT-4o mini support?

GPT-4o mini accepts Text, Image, PDF as input and produces Text as output.

Which providers serve GPT-4o mini?

GPT-4o mini is available from 3 API providers: Azure, OpenAI, Azure. Prices can differ by provider.

When was GPT-4o mini released?

GPT-4o mini was released by OpenAI in 2024-07.

GPT-4o mini

gpt-4o-mini

API Provider site

Low-cost multimodal GPT-4o variant. Built by OpenAI.

Prices updated recently

Input price

$0.15

per 1M tokens · Standard

Output price

$0.60

per 1M tokens · Standard

Input limit

128K

tokens

Output limit

16K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF

Compare

GPT-4o mini price history

12 price records since 4/1/2026 · 10 changes

GPT-4o mini cost calculator

Input20M tokens

Output5M tokens

$6.00/month

Standard pricing

Gemini 2.5 Flash$19

Overview

What is GPT-4o mini?

GPT-4o mini is a text & reasoning and vision model from OpenAI. Low-cost multimodal GPT-4o variant. Its 128K context window and $0.15 input price make it a candidate for cost-sensitive, high-throughput applications.

Image understandingDocument analysisContent workflowsClassification

Benchmarks

GPT-4o mini benchmarks & speed

How GPT-4o mini scores on standardized evaluations, and where it lands among every model we track.

6.7

Intelligence Index

Better than 7% of 153 models

89tok/s

Output speed

Better than 47% of 119 models

Reasoning

GPQA Diamond

42.6%

Graduate-level scientific reasoning · top 92%

HLE

4.2%

Humanity's Last Exam · top 88%

Latency & design

Time to first token: 0.88s

Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

Rates

GPT-4o mini pricing

Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

Input · Standard

$0.15

Per 1M tokens

Cached input · Standard

$0.07

Per 1M tokens

Capabilities

GPT-4o mini Tools

Tools available when using GPT-4o mini through supported provider APIs.

Function calling

Supported

Structured outputs

Supported

JSON mode

Supported

Reasoning

Not supported

Built-in web search

Supported

Log probabilities

Supported

Deterministic seed

Supported

Parallel tool calls

Not supported

Prompt caching

Supported

Where to run it

GPT-4o mini API providers

3 providers serve GPT-4o mini. Prices are per 1M tokens; uptime is the last 24 hours.

Provider	Input	Output	Cached	Context	Uptime
Azure	$0.15	$0.60	$0.07	128K	99.93%
OpenAI	$0.15	$0.60	$0.07	128K	99.86%
Azure	$0.17	$0.66	$0.08	128K	99.94%

Azure

Input: $0.15
Output: $0.60
Cached: $0.07
Context: 128K
Uptime: 99.93%

OpenAI

Input: $0.15
Output: $0.60
Cached: $0.07
Context: 128K
Uptime: 99.86%

Azure

Input: $0.17
Output: $0.66
Cached: $0.08
Context: 128K
Uptime: 99.94%

Strengths and limitations

Strengths

Low input cost at $0.15 per million tokens suits high-volume workloads.
A 128K context window covers most focused application workflows.
Supports text & reasoning and vision workloads in one model.

Limitations

Generated tokens cost 4× more than input tokens, which matters for verbose responses.
The 128K context window is smaller than several long-context alternatives.
Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

Same provider