Advanced Agentic Planning
Features a 92% success rate on AgentBench for multi-step environment navigation, allowing Chat GPT 5.2 Pro to act as a reliable autonomous assistant.
gpt-5.2-pro-2025-12-11 / web-search
Chat GPT 5.2 Pro is a flagship reasoning model by OpenAI. Featuring a 256k context window and native video understanding, it excels at autonomous agentic tasks, complex coding, and systematic logical deduction for enterprise workflows.
$ 14.7
$ 21
text
$ 117.6
$ 168
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": "gpt-5.2-pro-2025-12-11",
"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?"
}
]
}
]
}'Chat GPT 5.2 Pro Key Features
Explore the standout technical capabilities that define the Chat GPT 5.2 Pro experience.
Temporal Video Chat
Unlike frame-sampling, this model processes video temporally to identify motion-based cues in 1080p clips, enhancing your multimodal chat workflows.
Precision Pro Coding
Specifically optimized for graduate-level calculus and linear algebra with native LaTeX support, providing precision for technical chat applications.
Systematic Chat Reasoning
Utilizes internal Chain of Thought verification to reduce logical hallucinations by 40% during complex chat reasoning, ensuring high accuracy for enterprise-grade outputs.
How to Get a gpt-5.2-pro-2025-12-11 API Key
Getting a gpt-5.2-pro-2025-12-11 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 $14.7 / $117.6 it's a cheaper gpt-5.2-pro-2025-12-11 API key than going direct, and one key works across every model on the platform. Full gpt-5.2-pro-2025-12-11 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 gpt-5.2-pro-2025-12-11, 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 gpt-5.2-pro-2025-12-11.
Make your first API call
Use your API key with our sample code to send a request to gpt-5.2-pro-2025-12-11 via GPT Proto and see instant AI-powered results.
Chat GPT 5.2 Pro FAQ
Get answers about Chat GPT 5.2 Pro features, pricing, and capabilities for your next agentic project.
How does Chat GPT 5.2 Pro handle reasoning?
This model uses internal Chain of Thought verification to reduce logical hallucinations. This ensures that your chat interactions are more accurate and logically sound compared to standard models, making it ideal for technical documentation and complex problem-solving.
What is the context window for GPT 5.2 Pro?
The model supports a massive 256,000-token context window. This allows your chat application to include entire technical manuals, large codebases, or extremely long conversation histories without losing track of critical context or technical details.
Can I use Chat GPT 5.2 Pro for coding tasks?
Yes, it is highly optimized for software engineering. It scores 52.4% on SWE-bench Verified, making it capable of resolving complex GitHub issues autonomously within a chat-based development workflow or an automated DevOps pipeline.
What are the multimodal chat capabilities?
Chat GPT 5.2 Pro features native support for image, audio, and video inputs. It can process up to 5 minutes of video temporally, identifying motion-based cues that other models might miss, perfect for video-based chat analysis and tutoring.
How much does GPT 5.2 Pro cost per token?
Input tokens are priced at $5.00 per million, while output tokens are $15.00 per million. We also offer cached input discounts at $2.50 per million to help manage costs for frequent chat requests and repetitive context reuse.
What is the reasoning_effort parameter?
This parameter allows you to set the depth of the model's internal verification to low, medium, or high. For technical chat applications requiring high precision in math or coding, setting this to high provides the best logical outcomes.
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