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Model details
GPT-5.2 Pro
GPT-5.2 Pro occupies the flagship tier within OpenAI's GPT-5.2 family, engineered as the premium compute option for scenarios where the standard model's capability ceiling becomes a binding constraint. It applies the full computational resources of the GPT-5.2 architecture to produce deeper reasoning, more thorough analysis, and higher-quality output than the standard tier. The model excels at complex research synthesis, high-stakes analysis, expert-level content creation, and multi-factor strategic decisions—tasks where additional reasoning depth translates directly to better outcomes. With best-in-class instruction following and maximum reasoning depth, it is purpose-built for professional research and analysis as well as enterprise-critical workloads that demand reliable, high-quality results.
The model inherits its position within a broader OpenAI lineage designed for demanding applications, and supports capabilities such as tool use, file input, web search, and implicit caching through the full API feature set. Its 400,000-token context window allows it to maintain coherence across very long documents or multi-step reasoning chains. For organizations running complex AI workflows—particularly those requiring rigorous analysis, multi-document synthesis, or nuanced strategic reasoning—the premium tier justifies its higher compute investment on tasks that genuinely push model boundaries. The model remains best suited for professional and research applications rather than simple queries, targeting users who need the deepest reasoning depth available within the GPT-5.2 family.
Quick Info
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- Kilo Gateway
- Model key
- openai/gpt-5.2-pro
- Release date
- Dec 11, 2025
- Last updated
- Dec 11, 2025
- Knowledge cutoff
- 2025-08-31
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $21.00
- Output token cost
- $168.00
Limits
- Input tokens
- 272,000 tokens
- Output tokens
- 128,000 tokens
- Context window
- 400,000 tokens
Transparent token rates
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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