Estimate token counts for GPT-4, Claude, and Llama models. Paste text and see token count, cost estimate, and context window usage.
Paste text to estimate how many tokens it consumes across GPT-4, Claude, and Llama models. See cost estimates per request and what percentage of the context window your text uses. Essential for sizing prompts, RAG chunks, and agent tool outputs.
This tool uses an approximation of 1 token per 4 characters for English text, which closely matches GPT-4 and Claude tokenizers. Actual counts may vary by 5-10% depending on the specific tokenizer.
Token estimates are shown for GPT-4o, GPT-4, Claude Opus/Sonnet/Haiku, and Llama 3. Each includes the context window size and per-token pricing.
Tokens directly affect cost and context window limits. When building agents that process search results, minimizing token usage per result means more data fits in context and lower API bills.
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