Already, the response has been incredibly positive from the AI developer community. “DAMN! DeepSeek R1T2 – 200% faster than R1-0528 & 20% faster than R1,” wrote Vaibhav (VB) Srivastav, a ...

Smaller Variants for Scalable Deployments. For enterprises with limited compute resources, DeepSeek has introduced a distilled version, DeepSeek-R1-0528-Qwen3-8B, optimized for smaller-scale ...

The Hangzhou-based firm said later in a short post on X that R1-0528 featured improved performance. In a longer post on WeChat, DeepSeek said the rate of "hallucinations", false or misleading ...

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 ...

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 ...

The DeepSeek-R1-0528 model brings substantial advancements in reasoning capabilities, achieving notable benchmark improvements such as AIME 2025 accuracy rising from 70% to 87.5% and LiveCodeBench ...

SHANGHAI/BEIJING -Chinese artificial intelligence startup DeepSeek released the first update to its hit R1 reasoning model in the early hours of Thursday, stepping up competition with U.S. rivals such ...

Why DeepSeek-R1-0528 Matters for GPTBots.ai Users. ... This variant achieves state-of-the-art performance among open-source models while requiring only 16 GB of GPU memory, ...

For enterprises with limited compute resources, DeepSeek has introduced a distilled version, DeepSeek-R1-0528-Qwen3-8B, optimized for smaller-scale applications. This variant achieves state-of-the-art ...