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

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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