diff --git a/vllm/compilation/backends.py b/vllm/compilation/backends.py
index 1e66f21ff638..27fc3e8a629d 100644
--- a/vllm/compilation/backends.py
+++ b/vllm/compilation/backends.py
@@ -25,14 +25,17 @@
     should_split,
 )
 from vllm.config import CompilationConfig, CUDAGraphMode, VllmConfig
-from vllm.config.utils import hash_factors
 from vllm.logger import init_logger
 from vllm.logging_utils import lazy
 from vllm.platforms import current_platform
 from vllm.utils.import_utils import resolve_obj_by_qualname
 from vllm.utils.torch_utils import is_torch_equal_or_newer
 
-from .caching import VllmSerializableFunction
+from .caching import (
+    VllmSerializableFunction,
+    _compute_code_hash,
+    compute_env_and_config_hashes,
+)
 from .compiler_interface import (
     CompilerInterface,
     EagerAdaptor,
@@ -587,31 +590,16 @@ def __call__(
         vllm_config = self.vllm_config
         # Minimal hashing here with existing utilities, reused below.
 
-        env_factors = envs.compile_factors()
-        env_hash = hash_factors(env_factors)
-        # Compute config/compiler/code hashes once and reuse
-        config_hash = vllm_config.compute_hash()
+        env_hash, config_hash, env_factors = compute_env_and_config_hashes(vllm_config)
         compiler_hash = self.compiler_manager.compute_hash(vllm_config)
-        forward_code_files = list(sorted(self.compilation_config.traced_files))
+        traced_files = set(self.compilation_config.traced_files)
+        forward_code_files = list(sorted(traced_files))
 
         logger.debug(
             "Traced files (to be considered for compilation cache):\n%s",
             lazy(lambda: "\n".join(forward_code_files)),
         )
-        hash_content = []
-        for filepath in forward_code_files:
-            hash_content.append(filepath)
-            if filepath == "<string>":
-                # This means the function was dynamically generated, with
-                # e.g. exec(). We can't actually check these.
-                continue
-            try:
-                with open(filepath) as f:
-                    hash_content.append(f.read())
-            except Exception:
-                logger.warning("Failed to read file %s", filepath)
-                continue
-        code_hash = hashlib.sha256("\n".join(hash_content).encode()).hexdigest()
+        code_hash = _compute_code_hash(traced_files)
         # Clear after consumption
         self.compilation_config.traced_files.clear()
         if not self.compilation_config.cache_dir:
diff --git a/vllm/compilation/caching.py b/vllm/compilation/caching.py
index 63b7ad7279e3..16c3ade2f0f3 100644
--- a/vllm/compilation/caching.py
+++ b/vllm/compilation/caching.py
@@ -135,18 +135,20 @@ def co_name(self):
         return "VllmSerializableFunction"
 
 
-def compilation_config_hash_factors(vllm_config: VllmConfig) -> list[str]:
-    factors = []
-    # 0. factors come from the env, for example, The values of
-    # VLLM_PP_LAYER_PARTITION will affect the computation graph.
-    env_hash = hash_factors(envs.compile_factors())
-    factors.append(env_hash)
-
-    # 1. factors come from the vllm_config (it mainly summarizes how the
-    #    model is created)
+def compute_env_and_config_hashes(
+    vllm_config: VllmConfig,
+) -> tuple[str, str, dict[str, object]]:
+    """
+    Return the hashed environment factors, config hash, and raw env factors.
+
+    Both AOT and JIT cache paths rely on this helper to ensure their cache keys
+    stay in sync.
+    """
+
+    env_factors = envs.compile_factors()
+    env_hash = hash_factors(env_factors)
     config_hash = vllm_config.compute_hash()
-    factors.append(config_hash)
-    return factors
+    return env_hash, config_hash, env_factors
 
 
 def _compute_code_hash_with_content(file_contents: dict[str, str]) -> str:
diff --git a/vllm/compilation/decorators.py b/vllm/compilation/decorators.py
index 11a18c0e6bb7..ee3a34ee7aec 100644
--- a/vllm/compilation/decorators.py
+++ b/vllm/compilation/decorators.py
@@ -29,6 +29,7 @@
 from vllm.utils.import_utils import resolve_obj_by_qualname
 from vllm.utils.torch_utils import supports_dynamo
 
+from .caching import compute_env_and_config_hashes
 from .monitor import start_monitoring_torch_compile
 
 logger = init_logger(__name__)
@@ -352,10 +353,10 @@ def __call__(self, *args, **kwargs):
             serialized backend artifacts), then we need to generate a new AOT
             compile artifact from scratch.
             """
-            from .caching import compilation_config_hash_factors
-
-            factors: list[str] = compilation_config_hash_factors(self.vllm_config)
 
+            # Keep AOT cache key in sync with JIT: env factors + config hash + model.
+            env_hash, config_hash, _ = compute_env_and_config_hashes(self.vllm_config)
+            factors: list[str] = [env_hash, config_hash]
             factors.append(_model_hash_key(self.forward))
             hash_key = hashlib.sha256(str(factors).encode()).hexdigest()