diff --git a/docs_new/src/snippets/autoregressive/deepseek-v4-deployment.jsx b/docs_new/src/snippets/autoregressive/deepseek-v4-deployment.jsx
index d7f00f079..746f69d0f 100644
--- a/docs_new/src/snippets/autoregressive/deepseek-v4-deployment.jsx
+++ b/docs_new/src/snippets/autoregressive/deepseek-v4-deployment.jsx
@@ -1035,11 +1035,16 @@ SGLANG_OPT_USE_DEEPGEMM_MEGA_MOE=1
 SGLANG_OPT_FIX_MEGA_MOE_MEMORY=1
 SGLANG_OPT_FIX_NEXTN_MEGA_MOE=1
 SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK=8320
-SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=0`
+SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=0
+
+# Optional env vars for custom w4a4 MegaMoE kernel
+SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS=1
+SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_MXF4_KIND=1`
         }</pre>
         <p style={{ margin: "6px 0 0 0", fontSize: "12px", opacity: 0.85, lineHeight: "1.8" }}>
           Adjust <code>SGLANG_OPT_DEEPGEMM_MEGA_MOE_NUM_MAX_TOKENS_PER_RANK</code> based on your chunked prefill size (e.g. 4096 for balanced, 8320 for max-throughput).<br/>
           <code>SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK=0</code> — if your config mentions DeepEP dispatch buffer constraints, they do not apply when this is set to 0.<br/>
+          <code>SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_FP4_ACTS=1 SGLANG_OPT_DEEPGEMM_MEGA_MOE_USE_MXF4_KIND=1</code> for customized w4a4 MegaMoE kernel. With this kernel, the performance can be increased with negligible accuracy drop (~89.5 GPQA for Pro model)<br/>
           These flags are expected to be simplified in a future release.
         </p>
       </div>