Llm Context Visualizer
Quick answer
Paste prompt text—see per-chunk counts and a simple distribution to spot bloat.
For a related estimate, see Llm Token Counter.
Explore further: Ai Api Cost Calculator · Prompt Cost Simulator
Retrieval beats stuffing
Long contexts cost money and add noise—RAG with smaller injected chunks often beats one giant prompt.
Explore further: Embedding Cost Calculator · Accessible Color Palette
Tokenizers split text into subword units—visualization shows chunk boundaries and counts. Use it when you are trimming prompts to fit context windows.
How to use this calculator
- Open the tool: Paste full prompt including hidden instructions.
- Tune inputs: Identify large segments (logs, JSON blobs).
- Read the output: Refactor to external retrieval or summarization.
Real-world examples
- 10k token JSON: Often compresses with schema-aware summarization before LLM calls.
- Duplicate system prompt: Deduplicate per session—pay once, not every turn.
Explore further: Aspect Ratio Calculator
Tips & gotchas
Measure p95 prompt sizes from production logs—design limits around tail risk.
FAQ
Matches OpenAI tokenizer exactly?
Aim for close alignment—verify with API `usage` fields when exact.
Does this tool send my text to a server?
Calciverse runs in your browser; we do not store your inputs on our servers for these utilities. Anything that uses network APIs (for example DNS lookup) only sends what you explicitly request.
Why do results differ from another site?
Rounding, defaults, and implementation details (color spaces, tokenizers, DNS resolvers) can differ. Compare definitions, not just the headline number.