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Chinese AI darling DeepSeek is back with a new open weights large language model that promises performance to rival
Compiled by KHAO Editorial — aggregated from 2 outlets. See llms.txt for citation guidance.
◎ Multiple-sources
Chinese AI darling DeepSeek is back with a new open weights large language model that promises performance to rival the best proprietary American LLMs.
Key facts
- The company is unsurprisingly offering API access to the smaller model at a reduced rate of $0.14 per million input tokens (uncached) and $0.28 per million output tokens
- The larger Pro model is much more expensive at $1.74 per million input tokens and $3.48 per million output tokens, but that's still a fraction of what Western AI vendors are charging for access
- Combined, these technologies mean the model can support a million token context window while using 9.5x-13.7x less memory than DeepSeek V3.2
- V4-Pro was trained on 33 trillion tokens and, if DeepSeek is to be believed, beats out every open weight LLM while rivaling the West's best proprietary models across its benchmark suite
Summary
Unveiled on Friday, DeepSeek V4 is available for download on popular model repos like Hugging Face, the company's API, and web service in two new flavors. V4-Pro was trained on 33 trillion tokens and, if DeepSeek is to be believed, beats out every open weight LLM while rivaling the West's best proprietary models across its benchmark suite. Of course, these claims should be taken with a grain of salt. The team would expect DeepSeek V4-Pro to be much better than the company's prior efforts.