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OpenAI
o3 / web-search
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The openai o3 api delivers elite reasoning for STEM and coding tasks. Featuring a 200k context window and configurable effort levels, it provides the cognitive depth required for complex logical planning and agentic workflows via GPTProto.com.

$ 1.8
$ 2

$ 7.2
$ 8

text

text

$ 1.8
$ 2

text

$ 7.2
$ 8

text

API

Web Search

curl --request POST "https://gptproto.com/v1/responses" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "o3",
    "tools": [
      {
        "type": "web_search_preview"
      }
    ],
    "input": [
      {
        "role": "user",
        "content": [
          {
            "type": "input_text",
            "text": "What are the latest breakthroughs in quantum computing and their potential applications?"
          }
        ]
      }
    ]
  }'
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Core Features of the openai o3 api

Unlock frontier-level intelligence with the openai o3 api, designed for the most demanding technical challenges in the AI landscape.

Grandmaster Coding

Rated at 2727 ELO on Codeforces, the openai o3 api excels at autonomous refactoring and complex software architecture tasks.

Coding Expert Icon

Flexible Logic Effort

Configure the openai o3 api thinking time with low, medium, and high effort modes to optimize for either speed or depth of reasoning.

Control Icon

Fluid Intelligence

With 87.5% on ARC-AGI, the openai o3 api demonstrates a massive leap in learning new rules and reasoning in-context.

AGI Benchmark Icon

SOTA STEM Reasoning

Achieves 90.2% on AIME 2024, proving the openai o3 api can handle competitive math and symbolic logic at a human-expert level.

STEM Reasoning Icon

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

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 o3, 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 o3.

Make your first API call

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.

Get API Key

Expert Guide to the openai o3 api

Find technical answers about openai o3 api integration, reasoning effort levels, and performance benchmarks for STEM and coding projects.

What is the openai o3 api primarily used for?

The openai o3 api is built for complex STEM reasoning, advanced software engineering, and multi-step logical planning. It is specifically optimized to solve graduate-level math problems and execute agentic workflows that require high reliability. Unlike general-purpose models, this openai api uses an internal reasoning process to verify steps before providing a final answer, making it ideal for scientific research and quant finance.

How do I configure the reasoning effort in openai o3?

When using the openai o3 api, you can set the reasoning_effort parameter to low, medium, or high. This allows you to trade off between thinking time and the depth of the logical chain. High effort provides the most comprehensive reasoning for difficult math or coding tasks but increases latency. Low effort is faster and suitable for simpler logic, ensuring the openai o3 api remains versatile for various developer needs.

What are the token limits for the openai o3 api?

The openai o3 api features a 200,000 token context window, which is substantial for large-scale document analysis. It supports a maximum output of 100,000 tokens, which includes the hidden reasoning tokens used during the internal chain-of-thought. Developers must ensure the max_completion_tokens value is set high enough to accommodate both the reasoning tokens and the final response generated by the openai model.

Is the openai o3 api better at coding than o1?

Yes, the openai o3 api shows a significant improvement in coding capabilities. It achieved a 2727 ELO rating on Codeforces, outperforming 99% of human competitive programmers. Whether you are refactoring legacy code or generating unit tests for multi-threaded applications, the openai o3 api provides more accurate and efficient solutions than the o1 series, particularly in complex, agentic programming environments.

How does pricing work for the openai o3 api?

The openai o3 api is priced at $15.00 per 1 million input tokens and $60.00 per 1 million output tokens. It is important to note that internal reasoning tokens are billed at the output rate. GPTProto.com offers a unified credit pool for this api, and developers can benefit from a 50% discount on input tokens for cached context or via Batch API requests processed within 24 hours for asynchronous tasks.

Does the openai o3 api support image inputs?

The openai o3 api is multimodal, supporting image inputs alongside text and code. This allows the api to analyze visual technical data, such as circuit diagrams or architectural blueprints, and provide reasoning-based text or code outputs. This makes the openai o3 api a powerful tool for engineering teams who need an api that can interpret visual documentation and convert it into actionable technical specifications.

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