diff --git a/docs/en/macros/export-table.md b/docs/en/macros/export-table.md
index 4d026850..48a488cb 100644
--- a/docs/en/macros/export-table.md
+++ b/docs/en/macros/export-table.md
@@ -3,7 +3,7 @@
 | [PyTorch](https://pytorch.org/)                   | -                 | `{{ model_name or "yolo11n" }}.pt`              | ✅       | -                                                                    |
 | [TorchScript](../integrations/torchscript.md)     | `torchscript`     | `{{ model_name or "yolo11n" }}.torchscript`     | ✅       | `imgsz`, `optimize`, `batch`                                         |
 | [ONNX](../integrations/onnx.md)                   | `onnx`            | `{{ model_name or "yolo11n" }}.onnx`            | ✅       | `imgsz`, `half`, `dynamic`, `simplify`, `opset`, `batch`             |
-| [OpenVINO](../integrations/openvino.md)           | `openvino`        | `{{ model_name or "yolo11n" }}_openvino_model/` | ✅       | `imgsz`, `half`, `int8`, `batch`                                     |
+| [OpenVINO](../integrations/openvino.md)           | `openvino`        | `{{ model_name or "yolo11n" }}_openvino_model/` | ✅       | `imgsz`, `half`, `dynamic`, `int8`, `batch`                          |
 | [TensorRT](../integrations/tensorrt.md)           | `engine`          | `{{ model_name or "yolo11n" }}.engine`          | ✅       | `imgsz`, `half`, `dynamic`, `simplify`, `workspace`, `int8`, `batch` |
 | [CoreML](../integrations/coreml.md)               | `coreml`          | `{{ model_name or "yolo11n" }}.mlpackage`       | ✅       | `imgsz`, `half`, `int8`, `nms`, `batch`                              |
 | [TF SavedModel](../integrations/tf-savedmodel.md) | `saved_model`     | `{{ model_name or "yolo11n" }}_saved_model/`    | ✅       | `imgsz`, `keras`, `int8`, `batch`                                    |
diff --git a/examples/tutorial.ipynb b/examples/tutorial.ipynb
index 14df13dd..afb2ee88 100644
--- a/examples/tutorial.ipynb
+++ b/examples/tutorial.ipynb
@@ -367,7 +367,7 @@
         "| [PyTorch](https://pytorch.org/)                                          | -                 | `yolo11n.pt`              | ✅        | -                                                                    |\n",
         "| [TorchScript](https://docs.ultralytics.com/integrations/torchscript)     | `torchscript`     | `yolo11n.torchscript`     | ✅        | `imgsz`, `optimize`, `batch`                                         |\n",
         "| [ONNX](https://docs.ultralytics.com/integrations/onnx)                   | `onnx`            | `yolo11n.onnx`            | ✅        | `imgsz`, `half`, `dynamic`, `simplify`, `opset`, `batch`             |\n",
-        "| [OpenVINO](https://docs.ultralytics.com/integrations/openvino)           | `openvino`        | `yolo11n_openvino_model/` | ✅        | `imgsz`, `half`, `int8`, `batch`                                     |\n",
+        "| [OpenVINO](https://docs.ultralytics.com/integrations/openvino)           | `openvino`        | `yolo11n_openvino_model/` | ✅        | `imgsz`, `half`, `dynamic`, `int8`, `batch`                          |\n",
         "| [TensorRT](https://docs.ultralytics.com/integrations/tensorrt)           | `engine`          | `yolo11n.engine`          | ✅        | `imgsz`, `half`, `dynamic`, `simplify`, `workspace`, `int8`, `batch` |\n",
         "| [CoreML](https://docs.ultralytics.com/integrations/coreml)               | `coreml`          | `yolo11n.mlpackage`       | ✅        | `imgsz`, `half`, `int8`, `nms`, `batch`                              |\n",
         "| [TF SavedModel](https://docs.ultralytics.com/integrations/tf-savedmodel) | `saved_model`     | `yolo11n_saved_model/`    | ✅        | `imgsz`, `keras`, `int8`, `batch`                                    |\n",
diff --git a/ultralytics/engine/exporter.py b/ultralytics/engine/exporter.py
index ea2bc01e..da61e536 100644
--- a/ultralytics/engine/exporter.py
+++ b/ultralytics/engine/exporter.py
@@ -102,19 +102,19 @@ def export_formats():
     """Ultralytics YOLO export formats."""
     x = [
         ["PyTorch", "-", ".pt", True, True, []],
-        ["TorchScript", "torchscript", ".torchscript", True, True, ["optimize", "batch"]],
-        ["ONNX", "onnx", ".onnx", True, True, ["half", "dynamic", "simplify", "opset", "batch"]],
-        ["OpenVINO", "openvino", "_openvino_model", True, False, ["half", "int8", "batch"]],
-        ["TensorRT", "engine", ".engine", False, True, ["half", "dynamic", "simplify", "int8", "batch"]],
-        ["CoreML", "coreml", ".mlpackage", True, False, ["half", "int8", "nms", "batch"]],
-        ["TensorFlow SavedModel", "saved_model", "_saved_model", True, True, ["keras", "int8", "batch"]],
+        ["TorchScript", "torchscript", ".torchscript", True, True, ["batch", "optimize"]],
+        ["ONNX", "onnx", ".onnx", True, True, ["batch", "dynamic", "half", "opset", "simplify"]],
+        ["OpenVINO", "openvino", "_openvino_model", True, False, ["batch", "dynamic", "half", "int8"]],
+        ["TensorRT", "engine", ".engine", False, True, ["batch", "dynamic", "half", "int8", "simplify"]],
+        ["CoreML", "coreml", ".mlpackage", True, False, ["batch", "half", "int8", "nms"]],
+        ["TensorFlow SavedModel", "saved_model", "_saved_model", True, True, ["batch", "int8", "keras"]],
         ["TensorFlow GraphDef", "pb", ".pb", True, True, ["batch"]],
-        ["TensorFlow Lite", "tflite", ".tflite", True, False, ["half", "int8", "batch"]],
+        ["TensorFlow Lite", "tflite", ".tflite", True, False, ["batch", "half", "int8"]],
         ["TensorFlow Edge TPU", "edgetpu", "_edgetpu.tflite", True, False, []],
-        ["TensorFlow.js", "tfjs", "_web_model", True, False, ["half", "int8", "batch"]],
+        ["TensorFlow.js", "tfjs", "_web_model", True, False, ["batch", "half", "int8"]],
         ["PaddlePaddle", "paddle", "_paddle_model", True, True, ["batch"]],
-        ["MNN", "mnn", ".mnn", True, True, ["batch", "int8", "half"]],
-        ["NCNN", "ncnn", "_ncnn_model", True, True, ["half", "batch"]],
+        ["MNN", "mnn", ".mnn", True, True, ["batch", "half", "int8"]],
+        ["NCNN", "ncnn", "_ncnn_model", True, True, ["batch", "half"]],
         ["IMX", "imx", "_imx_model", True, True, ["int8"]],
     ]
     return dict(zip(["Format", "Argument", "Suffix", "CPU", "GPU", "Arguments"], zip(*x)))