Llm Token Counter
Quick answer
Paste text—pick a tokenizer profile—see approximate token counts and character stats.
For a related estimate, see Prompt Cost Simulator.
Explore further: Llm Context Visualizer · Embedding Cost Calculator
Approximation
Client-side estimates differ from server tokenizers—always reconcile with billed usage for cost work.
Explore further: Accessible Color Palette · Aspect Ratio Calculator
LLMs charge and truncate by tokens—roughly word pieces—not raw characters. Use it when you are sizing prompts before API calls or comparing model context limits. See also AI API cost calculator for a related utility in this cluster.
How to use this calculator
- Open the tool: Paste the system + user prompt together if you measure total context.
- Tune inputs: Pick the closest model family.
- Read the output: Compare to the API’s returned `usage` when available.
Real-world examples
- 4k context budget: Oversized prompts get truncated or rejected—leave margin for completion tokens.
- Code blocks: Whitespace and punctuation tokenize differently than prose.
Tips & gotchas
Reserve output tokens in the budget—`max_tokens` competes with prompt size.
FAQ
Why differs from ChatGPT UI?
UI may add hidden system instructions—compare against raw API calls.
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.