Why high: an exact fingerprint shared with 13 models that declare the same family, without a second signal of a different kind yet.
DeepSeek: DeepSeek V3 0324 is DeepSeek's model, and its measured tokenizer sits in DeepSeek's own signature group alongside its sibling models. Measured models from StepFun carry the same vocabulary, which reads as reuse of DeepSeek's tokenizer line and questions nobody's authorship; they are listed under "Shares this fingerprint" below.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counts every one of the 50 test strings exactly like 13 other models | tk_73c4f0dc |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_d9294a92 |
| How much it can read and write | Reads up to 163,840 tokens at once, writes up to 115,200 | its own listing |
| Who served our requests | Crusoe | we measured it, 21 August 2026 |
Click a row to open the full comparison.
We sent DeepSeek: DeepSeek V3 0324 fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 4 prompt tokens.
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
Supported parameters
frequency_penaltylogprobsmax_tokensresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {}
