AI Model OVERVIEW

GPT-4 Turbo by OpenAI

GPT-4 Turbo is OpenAI’s powerful language model, engineered for demanding enterprise applications that require speed, depth, and reliability. It combines expanded memory, structured reasoning, and multi-modal input to support high-volume use cases where context, consistency, and efficiency are essential.
Extended Context Handling
Supports up to 128,000 tokens by default, enabling analysis of long documents and conversations without losing context
Fast and Responsive
Delivers completions up to 40% faster than GPT-4, ideal for real-time apps, agents, and high-volume content generation
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Key Parameters of GPT-4 Turbo

These parameters define GPT-4 Turbo’s core capabilities, cost structure, and deployment readiness for enterprise use.
Provider
OpenAI
Context Window
128,000 tokens
Maximum Output
4,096 tokens
Input Cost
$10.00 / 1M tokens
Output Cost
$30.00 / 1M tokens
Release Date
November 6, 2023
Knowledge Cut-Off
December 1, 2023
Multimodal
Yes

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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