diff --git a/vllm/model_executor/models/config.py b/vllm/model_executor/models/config.py
index a3624b1cfa5f2..ccac8a6066429 100644
--- a/vllm/model_executor/models/config.py
+++ b/vllm/model_executor/models/config.py
@@ -401,7 +401,7 @@ class HybridAttentionMambaModelConfig(VerifyAndUpdateConfig):
             # of attention tokens that would fit mamba_page_size:
             # e.g. for mamba page size = 788kB
             #          attn_1_token = 2kB -> fits ~394 tokens
-            #      then round up to a mulitple of 256 -> 512 tokens
+            #      then round up to a multiple of 256 -> 512 tokens
             # End result:
             #  attn_block_size = 512
             #  mamba_block_size = 512 (aligned to a multiple of chunk_size)
diff --git a/vllm/model_executor/models/qwen3_omni_moe_thinker.py b/vllm/model_executor/models/qwen3_omni_moe_thinker.py
index 089129e443c01..5ca6b3d852ac3 100755
--- a/vllm/model_executor/models/qwen3_omni_moe_thinker.py
+++ b/vllm/model_executor/models/qwen3_omni_moe_thinker.py
@@ -323,7 +323,7 @@ class Qwen3Omni_VisionTransformer(nn.Module):
             hidden_size=self.hidden_size,
         )
 
-        # vit pos embeding, TODO: spatial_patch_size vs patch_size
+        # vit pos embedding, TODO: spatial_patch_size vs patch_size
         if self.apply_vit_abs_pos_embed:
             self.pos_embed = nn.Embedding(self.num_grid_per_side**2, self.hidden_size)
         else: