Agentic Tool Autonomy
Executes Python code and browses the web to solve multi-step problems without human intervention.
o4-mini / image-to-text
The o4 mini model is a high-speed reasoning powerhouse. It blends native multimodal capabilities with agentic autonomy, offering superior STEM logic and coding performance at a cost-efficient price point for developers using GPTProto.com.
$ 0.99
$ 1.1
image
$ 3.96
$ 4.4
text
API
Image To Text (Response)
curl --request POST "https://gptproto.com/v1/responses" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "o4-mini",
"input": [
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "What is in this image?"
},
{
"type": "input_image",
"image_url": "https://tos.gptproto.com/resource/cat.png"
}
]
}
]
}'Image 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": "o4-mini",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "https://tos.gptproto.com/resource/cat.png"
}
}
]
}
],
"max_tokens": 300
}'o4 mini Key Technical Features
Discover the engineering breakthroughs that make o4 mini the leading efficient reasoning model on GPTProto.com.
Production-Ready Coding
Scores 85.9% on LiveCodeBench, offering frontier-level software engineering logic for developers.
Massive 200K Context Window
Handles long-form documentation and large codebases effortlessly, maintaining state across tasks.
Native Multimodal Reasoning
Processes images and diagrams directly in the chain-of-thought, reducing visual logic errors by 35%.
Build with o4 mini in Minutes
Follow these simple steps to set up your account, get credits, and start sending API requests to o4 mini via GPT Proto.
Sign up
Create your free GPT Proto account to begin. You can set up an organization for your team at any time.
Top up
Your balance can be used across all models on the platform, including o4 mini, giving you the flexibility to experiment and scale as needed.
Generate your API key
In your dashboard, create an API key — you'll need it to authenticate when making requests to o4 mini.
Make your first API call
Use your API key with our sample code to send a request to o4 mini via GPT Proto and see instant AI-powered results.
o4 mini Reasoning & Capabilities FAQ
How does o4 mini handle visual reasoning?
Unlike older models that use separate vision encoders, o4 mini processes images and PDFs natively within its chain-of-thought. This allows it to reason through visual logic—like identifying bugs in a UI screenshot—with much higher accuracy than predecessors. On GPTProto.com, you can leverage this for complex diagram analysis and technical document parsing at a fraction of the cost of frontier reasoning models.
What is the 'reasoning_effort' parameter in o4 mini?
This parameter allows you to control the depth of the model's internal thinking. Setting it to 'high' is ideal for complex math or software architecture tasks, while 'low' reduces latency for simpler logic, making the o4 mini highly flexible for various production needs. It gives developers the power to trade a few seconds of latency for a significant jump in logical accuracy when solving difficult STEM problems.
Is o4 mini suitable for real-time chat?
Because of the 'thinking' phase required for its reasoning, o4 mini has a higher initial latency (TTFT) compared to GPT-4o-mini. It is best used for tasks where logic and accuracy matter more than instant response, such as coding assistants, automated debugging, or STEM tutoring. For ultra-fast, conversational interfaces, you might consider GPT-4o-mini, but for complex logic, o4 is the superior choice.
Can o4 mini execute code independently?
Yes, it is the first mini-class model with agentic autonomy. It can use tools to browse the web, analyze files, and execute Python code in a secure, sandboxed environment to verify its logical steps. This makes o4 mini perfect for building autonomous coding agents that need to run tests or analyze multi-file repositories on GPTProto.com without constant human oversight or manual prompting.
How much do o4 mini thinking tokens cost?
On GPTProto.com, both internal reasoning tokens and visible output tokens for o4 mini are billed at the same rate of $4.40 per 1M tokens. Input tokens are priced at $1.10 per 1M. Since deep reasoning can consume significant tokens, we recommend setting your 'max_completion_tokens' high enough to prevent truncation during complex logic tasks. This ensures the model has enough 'space' to think through the problem.
How do I migrate from o3-mini to o4 mini?
Migration is straightforward: simply update the 'model' parameter to 'o4 mini' in your API request via GPTProto.com. You will immediately gain access to the expanded 200,000-token context window and native multimodal support. Note that o4 mini uses a knowledge cutoff of June 2024, so for events occurring after that date, we recommend using the model's integrated browsing tools for real-time accuracy.
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