Count tokens for DeepSeek V3, R1, and the current chat models using the model's real tokenizer, running entirely in your browser, with visible token boundaries.
Your text never leaves your browser. The tokenizer itself is downloaded once from the Hugging Face CDN.
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DeepSeek V3 / R1
DeepSeek's own tokenizer, published openly on the Hugging Face Hub. The current chat, V3, and R1 models share it, so one counter covers them all. It runs in your browser via transformers.js.
DeepSeek prices cached input tokens far below cache misses, but the token COUNT is the same either way. This tool gives you the count; multiply by the rate that matches your cache behavior.
No. Tokenization runs entirely in your browser. The only network request is downloading the open tokenizer files once from the Hugging Face CDN.
The GPT column uses OpenAI's open o200k tokenizer for comparison. For exact Claude counts use our Claude Tokenizer, and for Gemini our Gemini Tokenizer.
MemoryPlugin gives DeepSeek, ChatGPT, Claude, and 20+ other AI tools one shared long-term memory and a searchable chat history. Tell one AI something once, and the rest have it from your next conversation.
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