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Version: 3.1.0

Developed by Heliconia Solutions Pvt. Ltd.
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  3. /Context Window Visualizer
AI Tools

Context Window Visualizer

Free context window visualizer — see how much fits in GPT, Claude, Gemini, and Llama context windows.

Was Context Window Visualizer useful?

Your vote helps us prioritize improvements.

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Overview

About Context Window Visualizer

The QuickToolz Context Window Visualizer shows how much text (books, transcripts, code) fits inside each model’s context window. Drop in a sample doc and see whether it fits in GPT-4o (128k), Claude 3.5 Sonnet (200k), Gemini 1.5 Pro (2M), or Llama 3.1 (128k).

Features

What makes Context Window Visualizer great

Everything you need, nothing you don’t. Built for speed and simplicity.

  • Visual bar

    Instantly see how much window your prompt eats.

  • All major models

    GPT-4o, GPT-5, Claude 3.5, Gemini 1.5/2, Llama 3.1, Mistral Large.

  • Overflow warnings

    Highlighted when your input exceeds the chosen window.

How to use

Get started with the Context Window Visualizer in just seconds.

Everything you need, nothing you don’t. Built for speed and simplicity.

  1. 01

    Paste or upload text

    Drop in a document, transcript, or codebase sample.

  2. 02

FAQ

Frequently asked questions about Context Window Visualizer.

Got questions? We’ve got answers. Common questions about Context Window Visualizer.

GPT-4o supports 128 000 input tokens with up to 16 384 output tokens.

Gemini 1.5 Pro currently leads at up to 2 000 000 tokens, followed by Claude 3.5 (200k) and GPT-5/4o (128k).

No — recall degrades in the middle of very long contexts ("lost in the middle"). RAG and careful prompt design often beat naive long-context stuffing.

Pick a model

Compare context windows across providers.

  • 03

    See fit

    Visual bar shows tokens used vs. capacity.

    • Context window visualizer

    25,800
    Used
    174,200
    Remaining
    183,700
    Available prompt
    200,000
    Model cap
    Claude 3.5 Sonnet — 200,000 ctxHealthy · 12.9% used
    System300
    Prompt9,500
    Examples1,200
    Retrieved12,000
    Tools800
    Output reserve2,000
    Remaining174,200

    Budget rule

    Keep 15-25% headroom in context windows. Retrieval chunks, tool schemas, and output reserve can crowd the prompt faster than expected — especially on 8k and 32k models.