DeepSeek also said it distilled the reasoning steps used in R1-0528 into Alibaba’s Qwen3 8B Base model. That process created a new, smaller model that surpassed Qwen3’s performance by more ...

For instance, in the AIME 2025 test, DeepSeek-R1-0528’s accuracy jumped from 70% to 87.5%, indicating deeper reasoning processes that now average 23,000 tokens per question compared to 12,000 in ...

Deepseek’s R1-0528 AI model competes with industry leaders like GPT-4 and Google’s Gemini 2.5 Pro, excelling in reasoning, cost efficiency, and technical innovation despite a modest $6 million ...

DeepSeek released an updated version of their popular R1 reasoning model (version 0528) with – according to the company – increased benchmark performance, reduced hallucinations, and native support ...

Nemotron, a family of open-source AI models that set new reasoning records by distilling them from China's DeepSeek R1-0528.

The new version, DeepSeek-R1-0528, has a whopping 685 billion parameters, meaning it can perform on par with competitors such as o3 from OpenAI and Gemini 2.5 Pro from Google.

Most of the tech industry and investors greeted the launch with a giant shrug. This is a pretty stark contrast to early 2025 when DeepSeek's R1 model freaked everyone out .

The new model is dubbed DeepSeek-R1-0528. "In the latest update, DeepSeek R1 has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational ...

The Chinese AI model that shook up the industry as a more cost-efficient alternative to the ones from OpenAI, Google, and Meta, now has a new update dubbed DeepSeek-R1-0528. DeepSeek says its ...

DeepSeek-R1-0528-Qwen3-8B outperforms both Google's latest lightweight model Gemini-2.5-Flash-Thinking-0520 and OpenAI's o3-mini in certain benchmarks.

Chinese AI startup DeepSeek has not yet determined the timing of the release of its R2 model as CEO Liang Wenfeng is not satisfied with its performance, The Information reported on Thursday, citing ...