Gemini Long Context Window - Processing Large Documents

Gemini 1.5 Pro and Gemini 2.0 Flash support context windows up to 1 million tokens - roughly 700,000 words. This lets you feed entire PDFs, legal contracts, codebases, or report archives into a single prompt without chunking. ShopMax India uses this to process complete vendor contracts and annual inventory reports.

The key advantage over RAG is that the model sees the entire document at once, so cross-references, contradictions, and summaries spanning the full text are handled accurately. There is no retrieval step to tune or maintain.

The below example shows how ShopMax India feeds a full vendor contract PDF and extracts all payment terms, penalties, and renewal clauses in one call.

It gives the following output,

Uploaded: files/abc123, size: 2847392 bytes

Contract Extraction - ShopMax Electronics Vendor Agreement:

1. Payment Terms:
   - Net 30 days from invoice date
   - 2% discount if paid within 10 days

2. Late Payment Penalties:
   - 1.5% per month on overdue amounts
   - Grace period: 5 calendar days

3. Contract Renewal: January 1, 2025 (auto-renewal with 60-day notice)

4. Returns: 30-day return window for defective goods, 15-day for buyer remorse

For multi-document analysis, pass multiple uploaded files in one prompt. The model can cross-reference clauses across documents. Use the File API to avoid re-uploading the same files - uploaded files remain available for 48 hours.

It gives the following output,

Contract Comparison for ShopMax India:

Vendor A (Samsung Distributor):
- Payment: Net 45, 3% discount at 15 days
- Returns: 45 days, no restocking fee
BETTER on returns

Vendor B (LG Distributor):
- Payment: Net 30, 2% discount at 10 days
- Returns: 30 days, 10% restocking fee

Recommendation: Vendor A is more favourable overall.

Monitor token usage with response.usage_metadata.total_token_count to stay within limits. For documents exceeding 500,000 tokens, consider splitting into logical sections while keeping each section large enough for complete context.