Open-R1: a fully open reproduction of DeepSeek-R1

From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates

Understanding How DeepSeek's Flagship Open-Weight Models Evolved

Mini-R1: Reproduce Deepseek R1 „aha moment“ a RL tutorial

Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design

The paper examines how evaluation design can cause significant fluctuations in the benchmark results of reasoning models, particularly the Deepseek‑R1‑Distill series. It shows that subtle changes in evaluation conditions lead to large variations in reported performance, a phenomenon also seen in other open‑source models fine‑tuned from Deepseek‑R1‑Distill and in the QwQ‑32B model. The authors call for a more rigorous evaluation paradigm and provide empirical assessments of the Deepseek‑R1‑Distill models.

One Year Since the “DeepSeek Moment”

DeepSeek V4 Pro 0813 (on OpenRouter)

DeepSeek V4 Pro 0813 (on OpenRouter) The latest DeepSeek Pro model is now available, via API only. I had to link to OpenRouter because DeepSeek don't have any obvious announcement page for their new model.

The Big LLM Architecture Comparison

From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design