What does the token calculator estimate?
It estimates prompt input tokens, context-window usage, and the approximate cost of one or more model runs using the selected model's pricing.
Prompt token estimate, count, context, and run cost
Paste prompt text to estimate input tokens, how much of the model context you consume, and single-run API cost using live pricing rows.
This is an estimate, not a real-world result.
All prices, model data, token counts, and calculator outputs are example estimates only. Accuracy, completeness, timeliness, or fitness is not guaranteed; LLMRateRadar accepts no responsibility for decisions made from these results.
Prompt inputLLM Table
Model363 models
BETA — counts use GPT-like tokenization only. Provider tokenizers often differ; use provider token counts for billing, not this estimate alone.
SummaryLLM Table
Estimate
BETA27
estimated input tokens
Context usage0.01%
Model context
200K
1 run
$0.001527
1K runs
$1.53
100K runs
$152.70
1M runs
$1,527.00
Token counts are estimates. Actual tokenization can differ by model and provider.
FAQ
About token estimates
Is tokenization exact for every model?
No. The calculator uses GPT-like tokenization with a fallback approximation. Actual token counts can differ by model, provider, and tokenizer version.
Why does output token count matter?
Most LLM APIs charge separately for input and output tokens. Expected output length can be the largest cost driver for chat, summarization, and agent workflows.
