diff --git a/.buildkite/test_areas/model_runner_v2.yaml b/.buildkite/test_areas/model_runner_v2.yaml
index b39b00d0c..9bc02f543 100644
--- a/.buildkite/test_areas/model_runner_v2.yaml
+++ b/.buildkite/test_areas/model_runner_v2.yaml
@@ -78,7 +78,6 @@ steps:
     - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_async_llm_dp.py -k "not ray"
     - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_eagle_dp.py
 
-# These require fix https://github.com/vllm-project/vllm/pull/36280
 - label: Model Runner V2 Pipeline Parallelism (4 GPUs)
   timeout_in_minutes: 60
   working_dir: "/vllm-workspace/tests"
diff --git a/vllm/config/vllm.py b/vllm/config/vllm.py
index 6551526d1..6229b44d5 100644
--- a/vllm/config/vllm.py
+++ b/vllm/config/vllm.py
@@ -1106,6 +1106,9 @@ class VllmConfig:
             )
         current_platform.check_and_update_config(self)
 
+        if envs.VLLM_USE_V2_MODEL_RUNNER:
+            self._validate_v2_model_runner()
+
         # Re-compute compile ranges after platform-specific config updates
         # (e.g., XPU may lower max_num_batched_tokens when MLA is enabled)
         self._set_compile_ranges()
@@ -1729,6 +1732,49 @@ class VllmConfig:
             f"kernel_config={self.kernel_config!r}"
         )
 
+    def _validate_v2_model_runner(self) -> None:
+        """Check for features not yet supported by the V2 model runner."""
+        unsupported: list[str] = []
+
+        if self.model_config is not None and self.model_config.has_inner_state:
+            unsupported.append("hybrid/mamba models")
+
+        if self.parallel_config.prefill_context_parallel_size > 1:
+            unsupported.append("prefill context parallelism")
+
+        if (
+            self.speculative_config is not None
+            and self.speculative_config.method not in ("eagle", "eagle3", "mtp")
+        ):
+            unsupported.append(f"speculative method '{self.speculative_config.method}'")
+
+        if self.parallel_config.enable_dbo:
+            unsupported.append("dual batch overlap")
+
+        if (
+            self.model_config is not None
+            and self.model_config.enable_return_routed_experts
+        ):
+            # Will be added by https://github.com/vllm-project/vllm/pull/38163
+            unsupported.append("routed experts capture")
+
+        if self.model_config is not None and self.model_config.logits_processors:
+            unsupported.append("custom logits processors")
+
+        if self.cache_config.kv_sharing_fast_prefill:
+            # Will be added by https://github.com/vllm-project/vllm/pull/35045
+            unsupported.append("KV sharing fast prefill")
+
+        if self.ec_transfer_config is not None:
+            # Will be added by https://github.com/vllm-project/vllm/pull/38390
+            unsupported.append("EC transfer")
+
+        if unsupported:
+            raise ValueError(
+                "VLLM_USE_V2_MODEL_RUNNER does not yet support: "
+                + ", ".join(unsupported)
+            )
+
     def validate_block_size(self) -> None:
         """Validate block_size against DCP and mamba constraints.