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  1. Home
  2. /Model
  3. /OpenAI
  4. /gpt-4o-mini-2024-07-18
OpenAI
gpt-4o-mini-2024-07-18
ChatDocumentation
Documentation
The gpt 4o mini api is a high-performance small model from OpenAI. It offers 128k context, native vision support, and low latency for high-volume tasks. Ideal for cost-conscious devs needing GPT-4 level intelligence at a fraction of the price.

$ 0.105
$ 0.15

$ 0.42
$ 0.6

text

text

$ 0.105
$ 0.15

text

$ 0.42
$ 0.6

text

API

Text To Text (Response)

curl --request POST "https://gptproto.com/v1/responses" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "gpt-4o-mini-2024-07-18",
    "input": [
      {
        "role": "user",
        "content": [
          {
            "type": "input_text",
            "text": "Write a short poem about artificial intelligence and its impact on humanity."
          }
        ]
      }
    ]
  }'

Text to Text (Chat)

curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "gpt-4o-mini-2024-07-18",
    "messages": [
      {
        "role": "user",
        "content": "Who are you?"
      }
    ],
    "stream": false
  }'
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Key gpt 4o mini api Technical Features

Discover the technical advantages that make the gpt 4o mini api the preferred choice for developers scaling AI tools.

Sub-Second Latency

Optimized for real-time interactions, this mini api delivers near-instantaneous responses for live chatbots.

fast gpt response

Strict Structured Outputs

Achieve 100% schema adherence with JSON mode, making this gpt model perfect for reliable data extraction.

gpt json output

Massive 128k Context

Manage long-form content and extensive history with a context window designed for complex gpt applications.

gpt context window

Multimodal Vision Support

Process images, receipts, and charts using the same advanced architecture found in the flagship gpt models.

gpt vision feature

How to Get a gpt-4o-mini-2024-07-18 API Key

Getting a gpt-4o-mini-2024-07-18 API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.105 / $0.42 it's a cheaper gpt-4o-mini-2024-07-18 API key than going direct, and one key works across every model on the platform. Full gpt-4o-mini-2024-07-18 Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including gpt-4o-mini-2024-07-18, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to gpt-4o-mini-2024-07-18.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to gpt-4o-mini-2024-07-18 via GPT Proto and see instant AI-powered results.

Get API Key

gpt 4o mini api FAQ & Integration Guide

Find answers about implementing the gpt 4o mini api, pricing advantages, and technical specs for your next AI project.

What is the gpt 4o mini api pricing?

The gpt 4o mini api is highly affordable, priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens. This makes the gpt model significantly more cost-effective than previous iterations like GPT-3.5 Turbo, while offering superior reasoning capabilities and native vision support for diverse application needs.

Does this gpt model support vision tasks?

Yes, the gpt 4o mini api includes native vision support. It uses the same architecture as the flagship GPT-4o model, allowing it to process and reason about images, charts, and screenshots. This makes the mini model ideal for high-volume visual data extraction tasks at a fraction of the usual cost.

What is the context window for this api?

The gpt 4o mini api features a 128,000 token context window. It also supports an extended output of up to 16,384 tokens per request. This capacity allows the gpt model to handle long documents and complex conversations without losing track of previous interactions.

How does gpt performance compare to others?

In benchmarks, the gpt 4o mini api achieves an MMLU score of 82.0%. It outperforms competitors like Claude 3 Haiku and Gemini 1.5 Flash in general reasoning, coding (87.2% on HumanEval), and math (70.2% on MATH). This gpt variant is currently a leader in the small-model tier.

Is my data used to train the gpt models?

No. When accessing the gpt 4o mini api through our platform, your data is protected. As an aggregator for enterprise use, we ensure that your inputs and outputs are not used to train foundation models, maintaining high standards for privacy and security.

How do I migrate to the mini api version?

Migrating to the gpt 4o mini api is straightforward. The request structure is identical to previous OpenAI chat models. Simply update the model parameter in your code to gpt-4o-mini-2024-07-18 to begin benefiting from faster speeds and lower costs immediately.

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GPT-4o-mini: Pricing, Speed & API Use Cases

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