Will It Fit? Context Checker
Check if your document fits a model's context window in one call.
With the default inputs, Yes — it fits in one call — 53,000 tokens needed vs 128,000 tokens window. Enter your own numbers below to recompute instantly; the full step-by-step math is shown under the worked example.
Results update automatically as you type.
- Document
- 50,000 tokens
- Prompt / instructions
- 1,000 tokens
- Reserved for output
- 2,000 tokens
- Total needed
- 53,000 tokens
- Context window
- 128,000 tokens
- Docs of this size per call
- 2
Pasting a long document into a model? Enter its token size, your prompt and the output you need, then pick a model to see whether it fits in a single call — and how many documents of that size you could fit.
How this is calculated
We add your document, prompt and reserved-output tokens and compare the total to the model's context window. If it fits, we also show how many documents of that size you could include in a single call (window ÷ per-document tokens).
Is this a good result? What to do next
'Fits' is necessary but not sufficient: even when a document technically fits, packing the window can reduce answer quality. If you're close to the limit, chunking with RAG or a larger-context model is usually more reliable than squeezing everything in.
Typical planning ranges
- 1M-token models (GPT-4.1, Gemini 2.5, Claude 4)
- fit large documents
- ~200-page book
- ~150k tokens
- Reserve for output
- subtract before checking fit
Ranges are typical planning figures to sanity-check your result, not authoritative benchmarks. Your numbers will vary with use case, volume, and vendor.
How to improve this number
- Reserve enough output tokens before checking fit.
- Chunk and retrieve, or summarize sections, when a doc doesn't fit.
- Move to a larger-context model for very long inputs.
Common mistakes
- Forgetting to reserve space for the model's response.
- Assuming a document that fits will also be answered well.
When to use a different approach
To see percentage utilization, use the context window usage calculator. To estimate a PDF's token size and cost, use the PDF token and cost calculator.
Worked example (defaults)
With the default inputs above, here is the result:
- Document
- 50,000 tokens
- Prompt / instructions
- 1,000 tokens
- Reserved for output
- 2,000 tokens
- Total needed
- 53,000 tokens
- Context window
- 128,000 tokens
- Docs of this size per call
- 2
Frequently asked questions
What if my document doesn't fit?+
Chunk it and use RAG, summarize sections first, or switch to a larger-context model like Gemini or Claude.
How many tokens is my document?+
Roughly characters ÷ 4 for English prose. Use our Token Counter for a closer estimate.
Related calculators
Answering a real question?
This calculator powers these problem-solving guides: