SOTA STEM Performance
With a 90.2% score on the AIME 2024, the o3 api outperforms previous models in solving competitive-level mathematics and logic problems.
o3 / image-to-text
The o3 api is OpenAI's frontier reasoning model. Built for complex STEM, coding, and logic, it allows configurable effort levels. Use o3 via GPTProto for unified credits and high-performance agentic workflows in software and research.
$ 1.8
$ 2
image
$ 7.2
$ 8
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": "o3",
"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": "o3",
"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
}'o3 api: Key Capabilities
Explore the standout features of the o3 api, designed for developers who require deep logic and advanced reasoning for complex tasks.
Grandmaster Coding Skills
Rated at ~2727 ELO on Codeforces, the o3 api is more capable than 99% of human programmers at solving intricate algorithmic challenges.
Visual Logic Processing
Natively reason over diagrams and blueprints. The o3 api uses vision to bridge the gap between visual information and logical execution.
Configurable Reasoning Effort
The o3 api allows you to set reasoning_effort to low, medium, or high. This lets you balance speed against intelligence for different tasks.
How to Get a o3 API Key
Getting a o3 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 $1.8 / $7.2 it's a cheaper o3 API key than going direct, and one key works across every model on the platform. Full o3 Documentation is in the docs.
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 o3, 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 o3.
Make your first API call
Use your API key with our sample code to send a request to o3 via GPT Proto and see instant AI-powered results.
o3 api: Frequently Asked Questions
Everything you need to know about integrating the o3 api into your workflow, from performance benchmarks to billing details on GPTProto.
How does the o3 api differ from calling OpenAI directly?
By accessing the o3 api through our platform, you benefit from unified credits and centralized project management. We also provide automatic failover between OpenAI regional clusters to maximize uptime. Your data is never used for training by the upstream vendor when using our api, ensuring privacy and security that exceeds standard consumer tiers.
Is data sent to the o3 api used for training?
No. All requests made to the o3 api through our aggregation service are strictly excluded from training cycles. We prioritize data sovereignty for our enterprise users, ensuring that your proprietary logic and code remain confidential while leveraging the power of o3.
What is the typical latency for an o3 api response?
Latency for the o3 api depends on the reasoning_effort setting. For medium effort, expect a thinking pause of 5 to 15 seconds. High effort requests may take up to 30 seconds as o3 performs deep logical verification. This time allows the model to produce higher-quality, verified answers for complex STEM problems.
How do I migrate from o1 models to the new o3 api?
The o3 api is designed to be backwards compatible with the o1 series. To migrate, simply update your model parameter to o3 in your code. You can then implement the reasoning_effort field to gain more control over the model's cognitive depth and latency trade-offs.
Does the o3 api support fine-tuning for specific tasks?
Currently, fine-tuning is not supported for the o3 api. However, its state-of-the-art instruction-following capabilities and 200,000 token context window allow for highly effective few-shot prompting and complex system instructions without the need for custom training.
Can we get enterprise billing for high o3 api usage?
Yes, we support monthly invoicing and Net-30 terms for accounts with a monthly o3 api spend exceeding $1,000. This provides your team with a professional billing structure while using the frontier capabilities of the o3 model.
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