DeepSeek V3 (Dec '24) Token Counter & Cost Calculator
Count tokens for DeepSeek V3 (Dec '24) and estimate the exact API cost — $0.32
per 1M input tokens, $0.89 per 1M output tokens — using a real
o200k_base BPE tokenizer. Everything runs in your browser; nothing is uploaded.
Counts are exact for OpenAI models (o200k_base is GPT-4o/4.1/5's tokenizer). For Claude, Gemini and other vendors — whose tokenizers are not public — treat the count as a close estimate (typically within ±15%).
Model price data failed to load — cost estimates are unavailable right now. Token counts above still work; try reloading the page.
Cost of this text across popular models
| Model | Input $/1M | Output $/1M | This text (input) | +500 output tokens |
|---|
Close estimate (±15%): DeepSeek does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation.
Cost lookup — DeepSeek V3 (Dec '24)
| Tokens | Cost on DeepSeek V3 (Dec '24) |
|---|---|
| 1K input tokens | 0.032¢ |
| 10K input tokens | 0.32¢ |
| 100K input tokens | $0.0320 |
| 1M input tokens | $0.3200 |
| 1K output tokens | 0.089¢ |
| 10K output tokens | 0.89¢ |
FAQ
How accurate is the DeepSeek V3 (Dec '24) token count?
Close estimate (±15%): DeepSeek does not publish its tokenizer, so this count uses OpenAI's o200k_base as an approximation. Paste your own text above to see the exact number for your prompt.
How is DeepSeek V3 (Dec '24) API cost calculated?
Cost = (input tokens ÷ 1,000,000) × $0.32 + (output tokens ÷ 1,000,000) × $0.89 — DeepSeek V3 (Dec '24)'s official per-1M-token prices from Artificial Analysis.
See full DeepSeek V3 (Dec '24) pricing & benchmarks, or the main token counter for every model.