Find the perfect AI model for your document size and conversation needs. Compare context windows, calculate compatibility, and understand conversation limitations across 100+ language models.
Find which models can handle your document or conversation
Context window = Your document + All responses + Conversation history
Some models may use additional internal tokens for reasoning, planning, or bookkeeping that count toward the context window; as a result, the actual conversation capacity can be lower than the simple input+output estimate. The exact impact varies by model and provider.
*Value Score = Context Window ÷ (Input + Output Price per 1M). Higher is better.
Message Estimate: Based on ~1,500 tokens per conversation cycle (user question + AI response). Actual usage varies by conversation complexity.
For a 50-page document (around 100K tokens), most 128K+ models like GPT-4o or Claude will work perfectly. If you only need a quick summary or one-off analysis, you don't need a massive context window since the conversation stays short.
When analyzing a 100-page document (roughly 200K tokens) with multiple rounds of questions and refinements, you'll want models with 400k+ context like GPT 5. The extra headroom lets you have detailed back-and-forth discussions without losing context.
Reviewing an enterprise application codebase (around 500K tokens) requires models that can hold everything in memory at once. Claude Sonnet 4 and Gemini Pro with their 1M+ context windows can load your entire project, making their suggestions aware of how different parts of your code interact.
For smaller files around 20K tokens, budget models like GPT-4o mini or Claude Haiku are ideal. They cost significantly less per token while still providing enough context for simple tasks like answering questions about a short document or debugging small code snippets.
Approximate token counts for common document types
~1,000 tokens
1-2 pages of text
~8,000 tokens
10-15 pages with citations
~8,000 tokens
12-15 pages
~50,000 tokens
50-70 pages
~100,000 tokens
50-100 files
~150,000 tokens
200-300 pages