diff --git a/vllm/model_executor/layers/fused_moe/oracle/fp8.py b/vllm/model_executor/layers/fused_moe/oracle/fp8.py
index 6f961df07d8e..9edd15eede63 100644
--- a/vllm/model_executor/layers/fused_moe/oracle/fp8.py
+++ b/vllm/model_executor/layers/fused_moe/oracle/fp8.py
@@ -603,7 +603,7 @@ def make_fp8_moe_kernel(
         )
 
     # NOTE(rob): we only want the mk to control the shared_expert
-    # if using all2all (for SBO). bnell is making this explict in
+    # if using all2all (for SBO). bnell is making this explicit in
     # the new MoE runner class.
     kernel = mk.FusedMoEModularKernel(
         prepare_finalize,
diff --git a/vllm/model_executor/layers/fused_moe/oracle/nvfp4.py b/vllm/model_executor/layers/fused_moe/oracle/nvfp4.py
index b4f4b74ca2d5..d48def361936 100644
--- a/vllm/model_executor/layers/fused_moe/oracle/nvfp4.py
+++ b/vllm/model_executor/layers/fused_moe/oracle/nvfp4.py
@@ -458,7 +458,7 @@ def make_nvfp4_moe_kernel(
         )
 
     # NOTE(rob): we only want the mk to control the shared_expert
-    # if using all2all (for SBO). bnell is making this explict in
+    # if using all2all (for SBO). bnell is making this explicit in
     # the new MoE runner class.
     kernel = mk.FusedMoEModularKernel(
         prepare_finalize,
diff --git a/vllm/model_executor/layers/fused_moe/router/router_factory.py b/vllm/model_executor/layers/fused_moe/router/router_factory.py
index a0733bafbe4d..11027e894bee 100644
--- a/vllm/model_executor/layers/fused_moe/router/router_factory.py
+++ b/vllm/model_executor/layers/fused_moe/router/router_factory.py
@@ -44,7 +44,7 @@ def create_fused_moe_router(
     # grouped topk + fused topk bias parameters
     routed_scaling_factor: float = 1.0,
     e_score_correction_bias: torch.Tensor | None = None,
-    # custom routing paramaters
+    # custom routing parameters
     custom_routing_function: Callable | None = None,
     # eplb parameters
     enable_eplb: bool = False,