HomeAll ToolsCategoriesGuides & StrategyAI ToolsAbout UsExplore All Tools
AI Resources

AI Model Context Limit Chart & Interactive Planner

Struggling to visualize context sizes? This page features an interactive context limit chart comparing major models and a planning widget to calculate prompt allocations.

LLM Context Window Limit Visualizer

Gemini 1.5 Pro2,000,000 tokens
Claude 3.5 Sonnet200,000 tokens
GPT-4o128,000 tokens
Llama 3.3 70B128,000 tokens
DeepSeek V3128,000 tokens
Mistral Large 2128,000 tokens

Context KV Cache Memory Calculator

Filling the context window allocates active Key-Value (KV) memory on the GPU. Estimate KV Cache VRAM allocation for a 70B parameter model.

Estimated KV Cache VRAM
For Llama 3 70B FP16 execution
2.20 GB

1. Visualizing Context Capacities

Our visual comparison chart shows the difference between models, highlighting Gemini's 2 million token capacity and Llama's 128k window.

2. Planning Context Allocations

When planning prompts, allocate space for: - **System Prompt**: 1,000 - 5,000 tokens - **Conversation History**: 5,000 - 20,000 tokens - **Reference Documents (RAG)**: 10,000 - 80,000 tokens - **Expected Response**: 1,000 - 4,000 tokens.

Frequently Asked Questions

How many words fit in a 128k context window?

Approximately 96,000 words. This is sufficient to process a standard 300-page book in a single prompt.

How does the calculator help with context limits?

Our Context Window Calculator helps you model prompt and history sizes to verify your inputs fit within target model limits.