diff --git a/README.md b/README.md
index 93e6b6429..4b7711acd 100644
--- a/README.md
+++ b/README.md
@@ -22,21 +22,22 @@
 </p>
 
 ## News
+- [2025/01] 🔥 SGLang Diffusion accelerates video and image generation ([blog](https://lmsys.org/blog/2026-01-16-sglang-diffusion/)).
 - [2025/12] SGLang provides day-0 support for latest open models ([MiMo-V2-Flash](https://lmsys.org/blog/2025-12-16-mimo-v2-flash/), [Nemotron 3 Nano](https://lmsys.org/blog/2025-12-15-run-nvidia-nemotron-3-nano/), [Mistral Large 3](https://github.com/sgl-project/sglang/pull/14213), [LLaDA 2.0 Diffusion LLM](https://lmsys.org/blog/2025-12-19-diffusion-llm/), [MiniMax M2](https://lmsys.org/blog/2025-11-04-miminmax-m2/)).
-- [2025/11] 🔥 SGLang Diffusion accelerates video and image generation ([blog](https://lmsys.org/blog/2025-11-07-sglang-diffusion/)).
 - [2025/10] 🔥 SGLang now runs natively on TPU with the SGLang-Jax backend ([blog](https://lmsys.org/blog/2025-10-29-sglang-jax/)).
 - [2025/09] Deploying DeepSeek on GB200 NVL72 with PD and Large Scale EP (Part II): 3.8x Prefill, 4.8x Decode Throughput ([blog](https://lmsys.org/blog/2025-09-25-gb200-part-2/)).
 - [2025/09] SGLang Day 0 Support for DeepSeek-V3.2 with Sparse Attention ([blog](https://lmsys.org/blog/2025-09-29-deepseek-V32/)).
 - [2025/08] SGLang x AMD SF Meetup on 8/22: Hands-on GPU workshop, tech talks by AMD/xAI/SGLang, and networking ([Roadmap](https://github.com/sgl-project/sgl-learning-materials/blob/main/slides/amd_meetup_sglang_roadmap.pdf), [Large-scale EP](https://github.com/sgl-project/sgl-learning-materials/blob/main/slides/amd_meetup_sglang_ep.pdf), [Highlights](https://github.com/sgl-project/sgl-learning-materials/blob/main/slides/amd_meetup_highlights.pdf), [AITER/MoRI](https://github.com/sgl-project/sgl-learning-materials/blob/main/slides/amd_meetup_aiter_mori.pdf), [Wave](https://github.com/sgl-project/sgl-learning-materials/blob/main/slides/amd_meetup_wave.pdf)).
-- [2025/08] SGLang provides day-0 support for OpenAI gpt-oss model ([instructions](https://github.com/sgl-project/sglang/issues/8833))
-- [2025/05] Deploying DeepSeek with PD Disaggregation and Large-scale Expert Parallelism on 96 H100 GPUs ([blog](https://lmsys.org/blog/2025-05-05-large-scale-ep/)).
 
 <details>
 <summary>More</summary>
 
+- [2025/11] SGLang Diffusion accelerates video and image generation ([blog](https://lmsys.org/blog/2025-11-07-sglang-diffusion/)).
 - [2025/10] PyTorch Conference 2025 SGLang Talk ([slide](https://github.com/sgl-project/sgl-learning-materials/blob/main/slides/sglang_pytorch_2025.pdf)).
 - [2025/10] SGLang x Nvidia SF Meetup on 10/2 ([recap](https://x.com/lmsysorg/status/1975339501934510231)).
+- [2025/08] SGLang provides day-0 support for OpenAI gpt-oss model ([instructions](https://github.com/sgl-project/sglang/issues/8833))
 - [2025/06] SGLang, the high-performance serving infrastructure powering trillions of tokens daily, has been awarded the third batch of the Open Source AI Grant by a16z ([a16z blog](https://a16z.com/advancing-open-source-ai-through-benchmarks-and-bold-experimentation/)).
+- [2025/05] Deploying DeepSeek with PD Disaggregation and Large-scale Expert Parallelism on 96 H100 GPUs ([blog](https://lmsys.org/blog/2025-05-05-large-scale-ep/)).
 - [2025/06] Deploying DeepSeek on GB200 NVL72 with PD and Large Scale EP (Part I): 2.7x Higher Decoding Throughput ([blog](https://lmsys.org/blog/2025-06-16-gb200-part-1/)).
 - [2025/03] Supercharge DeepSeek-R1 Inference on AMD Instinct MI300X ([AMD blog](https://rocm.blogs.amd.com/artificial-intelligence/DeepSeekR1-Part2/README.html))
 - [2025/03] SGLang Joins PyTorch Ecosystem: Efficient LLM Serving Engine ([PyTorch blog](https://pytorch.org/blog/sglang-joins-pytorch/))
diff --git a/docs/basic_usage/popular_model_usage.rst b/docs/basic_usage/popular_model_usage.rst
index 0eef2ef33..77697e895 100644
--- a/docs/basic_usage/popular_model_usage.rst
+++ b/docs/basic_usage/popular_model_usage.rst
@@ -1,6 +1,8 @@
 Popular Model Usage (DeepSeek, GPT-OSS, GLM, Llama, MiniMax, Qwen, and more)
 ===============================================================
 
+For more usage examples and recipes, visit the `SGLang Cookbook <https://cookbook.sglang.io/>`_.
+
 .. toctree::
    :maxdepth: 1
 
@@ -12,4 +14,5 @@ Popular Model Usage (DeepSeek, GPT-OSS, GLM, Llama, MiniMax, Qwen, and more)
    minimax_m2.md
    qwen3.md
    qwen3_vl.md
+   deepseek_ocr.md
    llama4.md
diff --git a/docs/index.rst b/docs/index.rst
index 5e11ed15c..b823bd2b7 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -33,7 +33,6 @@ Its core features include:
    basic_usage/ollama_api.md
    basic_usage/offline_engine_api.ipynb
    basic_usage/native_api.ipynb
-   basic_usage/deepseek_ocr.md
    basic_usage/sampling_params.md
    basic_usage/popular_model_usage.rst