AI Model Context Window Comparator
Compare context window limits for major model families in a simple table (reference format).
Last reviewed by the Radiatus Cloud team
Output
Securing AI in production?
We build guardrails, governance & compliance for AI systems.
Compare model context windows
A model’s context window is the amount of text it can consider at once, and it varies enormously between models. This tool compares the context window limits of major model families in a simple reference table, so you can see which models handle long inputs.
Why the context window matters
The context window sets a hard limit on how much you can put into a single request, prompt, documents, conversation history and the room left for the response, all together. A small window forces you to trim or chunk input; a large one lets you include whole documents or long conversations directly. Models differ by orders of magnitude here, and the right choice depends on your task: summarising a long report needs a large window, while short interactions do not. Comparing the limits at a glance is the quickest way to rule models in or out for a long-context task.
Match the window to the task
The tool runs entirely in your browser, so nothing you paste, prompts, outputs or documents, is uploaded, which matters when the input is sensitive AI data or your own content.
Related tools
- AI Prompt Leakage Analyzer — Paste a system prompt and a hostile user input to see whether the prompt holds secrets and whether the input carries injection patterns. Local, instant.
- LLM Data Exposure Checker — Check if text contains data likely to be memorized or exposed by LLMs.
- AI Usage Policy Generator — Generate an acceptable use policy for AI tools in your company.
- Model Hallucination Estimator — Estimate risk of hallucinations based on task type and temperature.
Frequently Asked Questions
What is a context window?
The maximum amount of text a model can consider at once, covering the prompt, any documents, the conversation history and the space for its response, together.
Why does the size matter?
Because it hard-limits how much you can put in a request. A small window forces trimming or chunking; a large one fits whole documents or long conversations.
How much do models differ?
By orders of magnitude, so for a long-context task like summarising a large report, the window can rule a model in or out.
Is a bigger window always better?
Not necessarily; larger windows can cost more and are unnecessary for short tasks. Match the window to what the task actually requires.
Is this reference up to date?
It is a reference comparison; model limits change, so confirm the current figure with the provider before relying on it.
Privacy & Security
Generated locally in your browser. Verify limits in vendor documentation.
How to Use
Choose output format and export the reference table.
Disclaimer: This tool is provided "as is" without warranty of any kind. Results are for educational and utility purposes.
Related Tools
AI Prompt Leakage Analyzer
AI SecurityPaste a system prompt and a hostile user input to see whether the prompt holds secrets and whether the input carries injection patterns. Local, instant.
LLM Data Exposure Checker
AI SecurityCheck if text contains data likely to be memorized or exposed by LLMs.
AI Usage Policy Generator
AI SecurityGenerate an acceptable use policy for AI tools in your company.