Why We're Taking a Serious Look at Google Gemini (And So Should You)

Understanding context limits in AI tools is crucial for making smarter business decisions. Here’s how Google and OpenAI stack up.

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You have heard the phrase “Context is king.”

Nowhere is this more important than AI.

In AI, context refers to the “memory” of your current conversation.

Computer memory is finite and it’s more expensive to process prompts as you add more memory to a conversion.

When you reach your context limit, AI starts “dumping” the memories.

This is why you sometimes start getting inaccurate results in long conversations—because AI starts “forgetting”

Google just increased Gemini’s context window to 2 MILLION TOKENS.

In comparison, OpenAI4o has 128K tokens.

Here’s what that means for you:

Capability

OpenAI-4o (128K tokens)

Google (2M tokens)

Document Processing

~100 pages (25,000 words)

~1,500 pages (375,000 words)

Legal Documents

Single contract or case file

Entire case library with all precedents

Meeting Transcripts

3 months of meetings

Several years of meeting history

Customer Service

~250 customer interactions

Full year of customer history across channels

Technical Documentation

Single product manual

Complete technical library for multiple products

Market Research

3-4 competitor reports

Thousands of market reports + social data

Email Analysis

~250 email threads

Several years of email correspondence

Financial Reports

Single quarterly report

5+ years of financial documentation

Academic Papers

4-5 research papers

50-60 papers simultaneously

Real-world Processing

Requires 10-12 separate batches for 1,000 pages

Can process 1,000 pages in a single pass

Optimal Use Case

Department-level tasks, specific analyses

Enterprise-wide data analysis

Business Intelligence

Focused analysis of specific data sets

Cross-departmental data integration

Implementation Level

Team or department deployment

Organization-wide deployment

Cost-Benefit Profile

Lower cost, focused tasks

Higher cost, comprehensive analysis

There’s no one-size-fits-all when it comes to AI, but this is a pretty big selling point for businesses.

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