diff --git a/tests/models/registry.py b/tests/models/registry.py
index 92ebac0184..9c15decd8f 100644
--- a/tests/models/registry.py
+++ b/tests/models/registry.py
@@ -1038,6 +1038,50 @@ _MULTIMODAL_EXAMPLE_MODELS = {
         },
         trust_remote_code=True,
     ),
+    # NemotronH_Nano_Omni_Reasoning_V3 is an alias for NemotronH_Nano_VL_V2
+    # Use the same registry test as NemotronH_Nano_VL_V2 above
+    "NemotronH_Nano_Omni_Reasoning_V3": _HfExamplesInfo(
+        "nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16",
+        max_model_len=4096,
+        use_original_num_layers=True,
+        hf_overrides={
+            "vision_config": PretrainedConfig(
+                args={
+                    "min_num_patches": 1,
+                    "max_num_patches": 12,
+                    "model": "vit_huge_patch16_224",
+                },
+                video_temporal_patch_size=2,
+            ),
+            "text_config": {
+                "num_hidden_layers": 2,
+                "hybrid_override_pattern": "M*",
+            },
+        },
+        trust_remote_code=True,
+    ),
+    # NemotronH_Super_Omni_Reasoning_V3 is an alias for NemotronH_Nano_VL_V2 as well
+    # Use the same registry test as NemotronH_Nano_VL_V2 above
+    "NemotronH_Super_Omni_Reasoning_V3": _HfExamplesInfo(
+        "nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16",
+        max_model_len=4096,
+        use_original_num_layers=True,
+        hf_overrides={
+            "vision_config": PretrainedConfig(
+                args={
+                    "min_num_patches": 1,
+                    "max_num_patches": 12,
+                    "model": "vit_huge_patch16_224",
+                },
+                video_temporal_patch_size=2,
+            ),
+            "text_config": {
+                "num_hidden_layers": 2,
+                "hybrid_override_pattern": "M*",
+            },
+        },
+        trust_remote_code=True,
+    ),
     "OpenCUAForConditionalGeneration": _HfExamplesInfo(
         "xlangai/OpenCUA-7B", trust_remote_code=True
     ),
diff --git a/vllm/config/speculative.py b/vllm/config/speculative.py
index 61f311c842..bbe923f68f 100644
--- a/vllm/config/speculative.py
+++ b/vllm/config/speculative.py
@@ -300,6 +300,10 @@ class SpeculativeConfig:
                 {"n_predict": n_predict, "architectures": ["ErnieMTPModel"]}
             )
 
+        if hf_config.architectures[0] == "NemotronH_Super_Omni_Reasoning_V3":
+            # Promote VLM's text_config so MTP detection below fires correctly
+            hf_config = hf_config.text_config
+
         if (
             hf_config.model_type in {"nemotron_h", "nemotron_h_puzzle"}
             and hasattr(hf_config, "num_nextn_predict_layers")
diff --git a/vllm/model_executor/models/registry.py b/vllm/model_executor/models/registry.py
index ef89e159fe..01a767b9f3 100644
--- a/vllm/model_executor/models/registry.py
+++ b/vllm/model_executor/models/registry.py
@@ -473,6 +473,8 @@ _MULTIMODAL_MODELS = {
     "MolmoForCausalLM": ("molmo", "MolmoForCausalLM"),
     "Molmo2ForConditionalGeneration": ("molmo2", "Molmo2ForConditionalGeneration"),
     "NemotronH_Nano_VL_V2": ("nano_nemotron_vl", "NemotronH_Nano_VL_V2"),
+    "NemotronH_Nano_Omni_Reasoning_V3": ("nano_nemotron_vl", "NemotronH_Nano_VL_V2"),
+    "NemotronH_Super_Omni_Reasoning_V3": ("nano_nemotron_vl", "NemotronH_Nano_VL_V2"),
     "NVLM_D": ("nvlm_d", "NVLM_D_Model"),
     "OpenCUAForConditionalGeneration": ("opencua", "OpenCUAForConditionalGeneration"),
     "OpenPanguVLForConditionalGeneration": (