AI Model OVERVIEW

GPT-4 32K by OpenAI

GPT-4 32k is a powerful variant of OpenAI’s GPT-4 family, designed specifically for use cases that demand extended context handling. With a 32,768-token window, four times that of standard GPT-4, it excels in tasks involving long documents, technical content, and sustained multi-turn interactions. This model balances performance and memory depth, making it ideal for enterprise, research, and healthcare applications requiring reliable context tracking.
Extended Context Window
Processes up to 32,768 tokens, enabling detailed document analysis, multi-part reasoning, and long-form synthesis.
Optimized for Structured Tasks
Performs well in generating summaries, filling structured templates, and maintaining consistency over long prompts.
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Key Parameters of GPT-4 32K

GPT-4 32K is a capable middle ground between standard GPT-4 and GPT-4 Turbo, optimized for detailed, high-context tasks.
Provider
OpenAI
Context Window
32,768 tokens
Maximum Output
4,096–8,192 tokens (varies by task)
Input Cost
$60.00 / 1M tokens
Output Cost
$120.00 / 1M tokens
Release Date
June 2023
Knowledge Cut-Off
April 2023
Multimodal
No

Enterprise Use Cases

GPT-4 32k enables enterprise-grade tasks that require deep context retention, supporting use cases across legal analysis, financial reporting, research synthesis, and large-scale documentation.
Extended Context Understanding
Ideal for legal, compliance, and audit teams who need to review and summarize contracts, regulatory texts, or multi-document policies—maintaining accuracy across 30,000+ tokens.
Long-Form Knowledge Retrieval
Powers internal Q&A systems and enterprise search across large wikis, technical manuals, HR portals, or training repositories—delivering complete, context-rich answers.
Cross-Document Reasoning
Enables R&D and strategy teams to synthesize insights from lengthy research papers, product specs, and competitive intelligence documents in a single prompt.
Scalable Agentic Workflows
Acts as memory for autonomous agents handling complex business processes—such as procurement reviews, risk assessments, or project management across long contexts.

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