diff --git a/benchmarks/triton_kernels_benchmark/vllm/batched_moe/batched_moe.patch b/benchmarks/triton_kernels_benchmark/vllm/batched_moe/batched_moe.patch
index 32128ff53d..8f8fc205ec 100644
--- a/benchmarks/triton_kernels_benchmark/vllm/batched_moe/batched_moe.patch
+++ b/benchmarks/triton_kernels_benchmark/vllm/batched_moe/batched_moe.patch
@@ -165,12 +165,15 @@ index 609b28a95..6ceb8d9ff 100644
      num_pid_n = tl.cdiv(N, BLOCK_N)
      pid_m = pid_mn // num_pid_n
      pid_n = pid_mn % num_pid_n
-@@ -449,8 +487,8 @@ def invoke_moe_batched_triton_kernel(
+@@ -449,8 +487,9 @@ def invoke_moe_batched_triton_kernel(
      BLOCK_K = config["BLOCK_SIZE_K"]
  
-     grid = (
+-    grid = (
 -        expert_num_tokens.size(0),
-         triton.cdiv(max_num_tokens, BLOCK_M) * triton.cdiv(B.size(1), BLOCK_N),
+-        triton.cdiv(max_num_tokens, BLOCK_M) * triton.cdiv(B.size(1), BLOCK_N),
++    grid = lambda meta: (
++        triton.cdiv(max_num_tokens, meta["BLOCK_M"])
++        * triton.cdiv(B.size(1), meta["BLOCK_N"]),
 +        expert_num_tokens.size(0),
      )
  
diff --git a/scripts/skiplist/default/vllm_tdesc.txt b/scripts/skiplist/default/vllm_tdesc.txt
index cab2cfb13b..89252fda68 100644
--- a/scripts/skiplist/default/vllm_tdesc.txt
+++ b/scripts/skiplist/default/vllm_tdesc.txt
@@ -882,10 +882,3 @@ tests/kernels/attention/test_triton_unified_attention.py::test_triton_unified_at
 tests/kernels/attention/test_triton_unified_attention.py::test_triton_unified_attn[8-q_dtype1-2048-50.0-dtype0-256-16-256-num_heads1-seq_lens1]
 tests/kernels/attention/test_triton_unified_attention.py::test_triton_unified_attn[8-q_dtype1-2048-50.0-dtype0-256-16-256-num_heads2-seq_lens0]
 tests/kernels/attention/test_triton_unified_attention.py::test_triton_unified_attn[8-q_dtype1-2048-50.0-dtype0-256-16-256-num_heads2-seq_lens1]
-
-# Tensor-likes are not close: https://github.com/intel/intel-xpu-backend-for-triton/issues/7753
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-2-8-222-128-2048]
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-6-8-45-1024-128]
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-6-8-64-512-512]
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-6-8-64-1024-2048]
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-6-8-222-128-2048]
diff --git a/scripts/skiplist/xe2/vllm_tdesc.txt b/scripts/skiplist/xe2/vllm_tdesc.txt
index 01bcc19d8b..b7c9648b19 100644
--- a/scripts/skiplist/xe2/vllm_tdesc.txt
+++ b/scripts/skiplist/xe2/vllm_tdesc.txt
@@ -885,9 +885,3 @@ tests/kernels/attention/test_triton_unified_attention.py::test_triton_unified_at
 
 # Nondeterministic tensor-likes are not close on B580: https://github.com/intel/intel-xpu-backend-for-triton/issues/7395
 tests/kernels/attention/test_triton_unified_attention.py::test_triton_unified_attn_fp16_input_fp8_output[8-32768-50.0-None-16-128-num_heads1-seq_lens3]
-
-# Tensor-likes are not close: https://github.com/intel/intel-xpu-backend-for-triton/issues/7753
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-2-8-222-128-2048]
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-6-8-45-1024-128]
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-6-8-64-512-512]
-tests/kernels/moe/test_batched_moe.py::test_fused_moe_batched_experts[False-None-False-dtype0-6-8-222-128-2048]