DeepSeek V3.2 Token Calculator
The DeepSeek V3.2 token calculator below counts DeepSeek V3.2 tokens and prices them at DeepSeek (深度求索)'s published rates — $0.35 per 1M input tokens and $0.42 per 1M output tokens, last verified 2 October 2026. DeepSeek (深度求索) does not publish its tokenizer, so the count is a calibrated estimate — stated plainly on every table here rather than dressed up as exact. Use it to budget and to compare DeepSeek V3.2 against other models.
Open the full DeepSeek V3.2 counter with the whole pricing table →
DeepSeek V3.2 token cost at a glance
| Volume | Approx. size | Input cost | Output cost |
|---|---|---|---|
| 1K tokens | ≈ 769 words | $0.0003 | $0.0004 |
| 10K tokens | ≈ 7,692 words | $0.0035 | $0.0042 |
| 100K tokens | ≈ 76,923 words | $0.035 | $0.042 |
| 1M tokens | ≈ 769,230 words | $0.35 | $0.42 |
Figures are list prices per 1M tokens, verified 2 October 2026. Enterprise contracts and volume tiers differ — edit the rates in the calculator if your deal is not list.
How accurate is the DeepSeek V3.2 count?
DeepSeek (深度求索) does not publish a public tokenizer, so this page reports an estimate — accurate to roughly 5–10% on English text and widening on code or mixed Chinese-English prompts. Treat it as a budgeting number, not an invoice number. If you need invoice-grade counts, count with the exact OpenAI tokenizer on the main calculator and read the gap as your margin of safety.
## What fits in the DeepSeek V3.2 context window DeepSeek V3.2 accepts **128K tokens**. At roughly 1.3 tokens per English word that is about **98,461 words**, or roughly **460,800 characters** of prose. Code and CJK text consume the budget faster: a source file or a Chinese document of the same visible length can run 30–60% more tokens, so leave headroom rather than budgeting to the exact ceiling.DeepSeek V3.2 pricing against the rest of DeepSeek (深度求索)
| Model | Tokenizer | Context | Input / 1M | Output / 1M |
|---|---|---|---|---|
| DeepSeek V3.2 | estimate | 128K | $0.35 | $0.42 |
| DeepSeek V4 Pro | estimate | 128K | $0.44 | $0.87 |
| DeepSeek V4 Flash | estimate | 400K | $0.14 | $0.28 |
| DeepSeek R1 | estimate | 64K | $0.56 | $2.50 |
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DeepSeek V3.2 token FAQs
How many tokens is a word in DeepSeek V3.2?
About 1.3 tokens per English word for DeepSeek V3.2 — roughly 3.6 characters per token. Code and CJK text tokenize denser, so a 128K tokens window holds fewer words than a prose estimate suggests.
What does DeepSeek V3.2 cost per 1M tokens?
DeepSeek V3.2 is listed at $0.35 per 1M input tokens and $0.42 per 1M output tokens as of 2 October 2026.
What is the DeepSeek V3.2 context window?
DeepSeek V3.2 accepts up to 128K tokens of input.
Is the DeepSeek V3.2 token count on this page exact?
No. DeepSeek (深度求索) does not expose its tokenizer, so this is a calibrated estimate at 5–10% accuracy.
Does this DeepSeek V3.2 calculator upload my text?
No. Tokenization runs entirely in your browser over JavaScript. Your text is never sent to any server, which is why the tool works with client code, unreleased prompts and internal data.