Meanwhile, we distilled the chain-of-thought from DeepSeek-R1-0528 to post-train Qwen3 8B Base, obtaining DeepSeek-R1-0528-Qwen3-8B. This model achieves state-of-the-art (SOTA) performance among open-source models on the AIME 2024, surpassing Qwen3 8B by +10.0% and matching the performance of Qwen3-235B-thinking.

🔹 Improved benchmark performance · 🔹 Enhanced front-end capabilities · 🔹 Reduced hallucinations · 🔹 Supports JSON output & function calling · ✅ Try it now: https://chat.deepseek.com/ 🔌 No change to API usage — docs here: ...

DeepSeek-R1-0528 is DeepSeek's new update to their R1 reasoning model. R1-0528 is the world's most powerful open-source model, rivalling OpenAI's GPT-4.5, o3 and Google's Gemini 2.5 Pro.

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Run R1 0528 with API

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Run R1 0528 (free) with API

This model achieves state-of-the-art (SOTA) performance among open-source models on the AIME 2024, surpassing Qwen3 8B by +10.0% and matching the performance of Qwen3-235B-thinking.

Meanwhile, we distilled the chain-of-thought from DeepSeek-R1-0528 to post-train Qwen3 8B Base, obtaining DeepSeek-R1-0528-Qwen3-8B. This model achieves state-of-the-art (SOTA) performance among open-source models on the AIME 2024, surpassing Qwen3 8B by +10.0% and matching the performance of Qwen3-235B-thinking.

Analysis of DeepSeek's DeepSeek R1 0528 (May '25) and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.

Updated version of DeepSeek-R1 with enhanced reasoning, coding, math, and reduced hallucination.

Run deepseek-ai/DeepSeek-R1-0528 on Chutes. DeepSeek-R1-0528 is an advanced reasoning model excelling at complex mathematics, coding, and logical problems through extended chain-of-thought processing.

DeepSeek-R1-0528 is the latest update to DeepSeek's R1 reasoning model that requires 715GB of disk space, making it one of the largest open-source models available. However, thanks to advanced quantization techniques from Unsloth, the model's ...

The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528.. Try out API on the Web

May 29, 2025 - The DeepSeek R1 0528 model is based on the deepseek_v3 architecture and utilizes fp8 quantization. This model type is often used for tasks that require complex computations and large amounts of data processing.

May 30, 2025 - DeepSeek R1–0528 is the latest ... termed a “minor version upgrade”, R1–0528 brings significant improvements in reasoning depth, coding ability, and overall reliability....

The NVIDIA DeepSeek-R1-0528-FP4 model is the quantized version of the DeepSeek AI's DeepSeek R1 0528 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here.

June 4, 2025 - DeepSeek-R1-0528 is an updated version of DeepSeek-R1 with improved reasoning, inference, and performance via optimizations and enhanced computational efficiency.

DeepSeek-R1 has received a minor version upgrade to DeepSeek-R1-0528 for the 8 billion parameter distilled model and the full 671 billion parameter model. In this update, DeepSeek R1 has significantly improved its reasoning and inference ...

The NVIDIA DeepSeek-R1-0528-FP4 model is the quantized version of the DeepSeek AI's DeepSeek R1 0528 model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here.