diff --git a/vllm/model_executor/models/ernie45_vl.py b/vllm/model_executor/models/ernie45_vl.py
index e6ac0e6a0b992..372675178ccc3 100644
--- a/vllm/model_executor/models/ernie45_vl.py
+++ b/vllm/model_executor/models/ernie45_vl.py
@@ -1404,9 +1404,8 @@ class Ernie4_5_VLMoeForConditionalGeneration(
         else:
             self.visual_token_mask = None
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
diff --git a/vllm/model_executor/models/glm4v.py b/vllm/model_executor/models/glm4v.py
index a247ba55c51a0..2de1e48109521 100644
--- a/vllm/model_executor/models/glm4v.py
+++ b/vllm/model_executor/models/glm4v.py
@@ -619,9 +619,8 @@ class GLM4VForCausalLM(
 
         return self.transformer.vision(pixel_values)
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
diff --git a/vllm/model_executor/models/keye_vl1_5.py b/vllm/model_executor/models/keye_vl1_5.py
index 9a9a46995af9e..13e5b2d5f1575 100644
--- a/vllm/model_executor/models/keye_vl1_5.py
+++ b/vllm/model_executor/models/keye_vl1_5.py
@@ -594,9 +594,8 @@ class KeyeVL1_5ForConditionalGeneration(
             new_video_embeds.append(video_embeds[start:end])
         return tuple(new_video_embeds)
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
diff --git a/vllm/model_executor/models/qwen2_5_omni_thinker.py b/vllm/model_executor/models/qwen2_5_omni_thinker.py
index c40b97a2c4e09..a5d6004faf381 100644
--- a/vllm/model_executor/models/qwen2_5_omni_thinker.py
+++ b/vllm/model_executor/models/qwen2_5_omni_thinker.py
@@ -986,9 +986,8 @@ class Qwen2_5OmniThinkerForConditionalGeneration(
     def get_language_model(self) -> torch.nn.Module:
         return self.language_model
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
diff --git a/vllm/model_executor/models/qwen2_5_vl.py b/vllm/model_executor/models/qwen2_5_vl.py
index e49387648ae35..4f3c7fdb69365 100644
--- a/vllm/model_executor/models/qwen2_5_vl.py
+++ b/vllm/model_executor/models/qwen2_5_vl.py
@@ -1078,9 +1078,8 @@ class Qwen2_5_VLForConditionalGeneration(
 
     supports_encoder_tp_data = True
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,
diff --git a/vllm/model_executor/models/qwen3_omni_moe_thinker.py b/vllm/model_executor/models/qwen3_omni_moe_thinker.py
index 1176c559bffef..cdef1bdaedc50 100755
--- a/vllm/model_executor/models/qwen3_omni_moe_thinker.py
+++ b/vllm/model_executor/models/qwen3_omni_moe_thinker.py
@@ -1421,7 +1421,6 @@ class Qwen3OmniMoeThinkerForConditionalGeneration(
 
         return loaded_weights
 
-    @classmethod
     def get_mrope_input_positions(
         self,
         input_tokens: list[int],
diff --git a/vllm/model_executor/models/qwen3_vl.py b/vllm/model_executor/models/qwen3_vl.py
index 0ece93791954a..e9e16762e525a 100644
--- a/vllm/model_executor/models/qwen3_vl.py
+++ b/vllm/model_executor/models/qwen3_vl.py
@@ -1480,9 +1480,8 @@ class Qwen3VLForConditionalGeneration(
                 )
         return mm_input_by_modality
 
-    @classmethod
     def get_mrope_input_positions(
-        cls,
+        self,
         input_tokens: list[int],
         hf_config: PretrainedConfig,
         image_grid_thw: list[list[int]] | torch.Tensor,