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.

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

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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