diff --git a/onnxruntime/core/providers/openvino/ov_versions/capability.cc b/onnxruntime/core/providers/openvino/ov_versions/capability.cc
index 77fa8eed8501c..e932595f48565 100644
--- a/onnxruntime/core/providers/openvino/ov_versions/capability.cc
+++ b/onnxruntime/core/providers/openvino/ov_versions/capability.cc
@@ -41,16 +41,16 @@ GetCapability::GetCapability(const EPCtxHandler& ep_ctx_handler,
     npu_qdq_optimizer_enabled = true;  // see data_ops.cc ~615 where we check for int16 types for gpu, this may change to a better approach later
   }
 
-#if OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 1
-  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2025_1, device_type_, npu_qdq_optimizer_enabled);
-#elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 2
-  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2025_2, device_type_, npu_qdq_optimizer_enabled);
-#elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 3
-  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2025_3, device_type_, npu_qdq_optimizer_enabled);
+#if OPENVINO_VERSION_MAJOR == 2026 && OPENVINO_VERSION_MINOR == 1
+  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2026_1, device_type_, npu_qdq_optimizer_enabled);
+#elif OPENVINO_VERSION_MAJOR == 2026 && OPENVINO_VERSION_MINOR == 0
+  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2026_0, device_type_, npu_qdq_optimizer_enabled);
 #elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 4
   data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2025_4, device_type_, npu_qdq_optimizer_enabled);
+#elif OPENVINO_VERSION_MAJOR == 2025 && OPENVINO_VERSION_MINOR == 3
+  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2025_3, device_type_, npu_qdq_optimizer_enabled);
 #else
-  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2025_4, device_type_, npu_qdq_optimizer_enabled);
+  data_ops_ = std::make_unique<DataOps>(graph_viewer_, V_2026_1, device_type_, npu_qdq_optimizer_enabled);
 #endif
 }
 
diff --git a/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc b/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
index 4d07193c2e196..28aedc0faae61 100644
--- a/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
+++ b/onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
@@ -268,6 +268,10 @@ void DataOps::populate_types_supported() {
       std::make_pair(V_2024_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT4));
   supported_types_initializer_.insert(
       std::make_pair(V_2024_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_UINT4));
+  supported_types_initializer_.insert(
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E4M3FN));
+  supported_types_initializer_.insert(
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E5M2));
 
   supported_types_npu_.insert(
       std::make_pair(V_2020_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_BOOL));
@@ -288,9 +292,9 @@ void DataOps::populate_types_supported() {
   supported_types_npu_.insert(
       std::make_pair(V_2021_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT16));
   supported_types_npu_.insert(
-      std::make_pair(V_2024_3, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E4M3FN));
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E4M3FN));
   supported_types_npu_.insert(
-      std::make_pair(V_2024_3, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E4M3FNUZ));
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E5M2));
   supported_types_npu_.insert(
       std::make_pair(V_2024_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT4));
   supported_types_npu_.insert(
@@ -320,6 +324,10 @@ void DataOps::populate_types_supported() {
       std::make_pair(V_2024_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT4));
   supported_types_cpu_.insert(
       std::make_pair(V_2024_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_UINT4));
+  supported_types_cpu_.insert(
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E4M3FN));
+  supported_types_cpu_.insert(
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E5M2));
 
   supported_types_gpu_.insert(
       std::make_pair(V_2020_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT));
@@ -339,6 +347,10 @@ void DataOps::populate_types_supported() {
       std::make_pair(V_2024_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT4));
   supported_types_gpu_.insert(
       std::make_pair(V_2024_4, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_UINT4));
+  supported_types_gpu_.insert(
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E4M3FN));
+  supported_types_gpu_.insert(
+      std::make_pair(V_2026_1, ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E5M2));
 }
 
 void DataOps::populate_op_mode_supported() {
@@ -396,7 +408,7 @@ void DataOps::populate_op_mode_supported() {
 
   // populate unsupportedmode_t
   {
-    UnsupportedOpMode obj = {{V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1, V_2025_2, V_2025_3, V_2025_4},
+    UnsupportedOpMode obj = {{V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1, V_2025_2, V_2025_3, V_2025_4, V_2026_0, V_2026_1},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // If the Input of ReduceMax op is UINT8, it is rejected (Due to output mismatch)
                                for (size_t i = 0; i < node->InputDefs().size(); i++) {
@@ -413,7 +425,7 @@ void DataOps::populate_op_mode_supported() {
   {
     UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2,
                               V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1,
-                              V_2025_2, V_2025_3, V_2025_4},
+                              V_2025_2, V_2025_3, V_2025_4, V_2026_0, V_2026_1},
                              [this](const Node* node, const InitializedTensorSet&) {
                                const auto& input_args = node->InputDefs();
                                const auto& input_arg = (input_args.size() > 1) ? input_args[1] : input_args[0];
@@ -433,7 +445,7 @@ void DataOps::populate_op_mode_supported() {
   {
     UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2,
                               V_2024_3, V_2024_4, V_2024_5, V_2024_6, V_2025_0, V_2025_1,
-                              V_2025_2, V_2025_3, V_2025_4},
+                              V_2025_2, V_2025_3, V_2025_4, V_2026_0, V_2026_1},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // If the operator is unsqueeze
                                // If axes is an input, then we cannot produce a static graph.
@@ -449,7 +461,7 @@ void DataOps::populate_op_mode_supported() {
   }
   {
     UnsupportedOpMode obj = {{V_2023_1, V_2023_2, V_2023_3, V_2024_0, V_2024_1, V_2024_2, V_2024_3, V_2024_4, V_2024_5,
-                              V_2024_6, V_2025_0, V_2025_1, V_2025_2, V_2025_3, V_2025_4},
+                              V_2024_6, V_2025_0, V_2025_1, V_2025_2, V_2025_3, V_2025_4, V_2026_0, V_2026_1},
                              [this](const Node* node, const InitializedTensorSet&) {
                                // check for attributes
                                auto& upsample_attr = node->GetAttributes();
diff --git a/onnxruntime/core/providers/openvino/ov_versions/data_ops.h b/onnxruntime/core/providers/openvino/ov_versions/data_ops.h
index cf6290ee07921..af4bdc6efffff 100644
--- a/onnxruntime/core/providers/openvino/ov_versions/data_ops.h
+++ b/onnxruntime/core/providers/openvino/ov_versions/data_ops.h
@@ -38,7 +38,9 @@ enum versionNum {
   V_2025_1,
   V_2025_2,
   V_2025_3,
-  V_2025_4
+  V_2025_4,
+  V_2026_0,
+  V_2026_1
 };
 
 using VersionNum = enum versionNum;