diff --git a/vllm/model_executor/models/qwen3.py b/vllm/model_executor/models/qwen3.py
index a21f5b3b89c..cf136db5be4 100644
--- a/vllm/model_executor/models/qwen3.py
+++ b/vllm/model_executor/models/qwen3.py
@@ -78,6 +78,7 @@ class Qwen3Attention(nn.Module):
         prefix: str = "",
         attn_type: str = AttentionType.DECODER,
         dual_chunk_attention_config: dict[str, Any] | None = None,
+        per_layer_sliding_window: int | None = None,
     ) -> None:
         super().__init__()
         self.hidden_size = hidden_size
@@ -136,6 +137,7 @@ class Qwen3Attention(nn.Module):
             num_kv_heads=self.num_kv_heads,
             cache_config=cache_config,
             quant_config=quant_config,
+            per_layer_sliding_window=per_layer_sliding_window,
             prefix=f"{prefix}.attn",
             attn_type=attn_type,
             **{
@@ -175,6 +177,7 @@ class Qwen3DecoderLayer(nn.Module):
         cache_config: CacheConfig | None = None,
         quant_config: QuantizationConfig | None = None,
         prefix: str = "",
+        per_layer_sliding_window: int | None = None,
     ) -> None:
         super().__init__()
         self.hidden_size = config.hidden_size
@@ -206,6 +209,7 @@ class Qwen3DecoderLayer(nn.Module):
             prefix=f"{prefix}.self_attn",
             attn_type=attn_type,
             dual_chunk_attention_config=dual_chunk_attention_config,
+            per_layer_sliding_window=per_layer_sliding_window,
         )
         self.mlp = Qwen3MLP(
             hidden_size=self.hidden_size,
diff --git a/vllm/model_executor/models/qwen3_eagle3.py b/vllm/model_executor/models/qwen3_eagle3.py
index a54d56cc042..3255c65e273 100644
--- a/vllm/model_executor/models/qwen3_eagle3.py
+++ b/vllm/model_executor/models/qwen3_eagle3.py
@@ -43,11 +43,22 @@ class Qwen3Eagle3DecoderLayer(Qwen3DecoderLayer):
         cache_config = vllm_config.cache_config
         quant_config = get_draft_quant_config(vllm_config)
 
+        # Resolve per-layer sliding window from draft config
+        sliding_window = None
+        layer_types = getattr(config, "layer_types", None)
+        if (
+            layer_types
+            and layer_idx < len(layer_types)
+            and layer_types[layer_idx] == "sliding_attention"
+        ):
+            sliding_window = getattr(config, "sliding_window", None)
+
         super().__init__(
             config=config,
             cache_config=cache_config,
             quant_config=quant_config,
             prefix=prefix,
+            per_layer_sliding_window=sliding_window,
         )
 
         # First layer uses 2*hidden_size (embeds + hidden_states concatenated)