diff --git a/src/cloudflare/resources/ai/ai.py b/src/cloudflare/resources/ai/ai.py
index ead529998ca..37793402881 100644
--- a/src/cloudflare/resources/ai/ai.py
+++ b/src/cloudflare/resources/ai/ai.py
@@ -1050,9 +1050,8 @@ def run(
         return cast(
             Optional[AIRunResponse],
             self._post(
-                path_template(
-                    "/accounts/{account_id}/ai/run/{model_name}", account_id=account_id, model_name=model_name
-                ),
+                path_template("/accounts/{account_id}/ai/run/", account_id=account_id)
+                + "/".join(path_template("{model_part}", model_part=part) for part in model_name.split("/")),
                 body=maybe_transform(
                     {
                         "text": text,
@@ -2090,9 +2089,8 @@ async def run(
         return cast(
             Optional[AIRunResponse],
             await self._post(
-                path_template(
-                    "/accounts/{account_id}/ai/run/{model_name}", account_id=account_id, model_name=model_name
-                ),
+                path_template("/accounts/{account_id}/ai/run/", account_id=account_id)
+                + "/".join(path_template("{model_part}", model_part=part) for part in model_name.split("/")),
                 body=await async_maybe_transform(
                     {
                         "text": text,
diff --git a/tests/test_ai_model_paths.py b/tests/test_ai_model_paths.py
new file mode 100644
index 00000000000..c17cc9fc204
--- /dev/null
+++ b/tests/test_ai_model_paths.py
@@ -0,0 +1,55 @@
+from __future__ import annotations
+
+import httpx
+import pytest
+
+from cloudflare import Cloudflare, AsyncCloudflare
+
+
+@pytest.mark.parametrize("asynchronous", [False, True])
+@pytest.mark.parametrize(
+    "model_name,expected_suffix",
+    [
+        ("@cf/meta/llama-3.1-8b-instruct", "@cf/meta/llama-3.1-8b-instruct"),
+        ("@cf/black-forest-labs/flux-1-schnell", "@cf/black-forest-labs/flux-1-schnell"),
+        ("@cf/model?query#fragment%", "@cf/model%3Fquery%23fragment%25"),
+        ("model", "model"),
+    ],
+)
+async def test_model_path_preserves_slashes(asynchronous: bool, model_name: str, expected_suffix: str) -> None:
+    expected_path = f"/client/v4/accounts/account%2Fid/ai/run/{expected_suffix}".encode()
+
+    def handle(request: httpx.Request) -> httpx.Response:
+        assert request.url.raw_path == expected_path
+        assert not request.url.query
+        assert not request.url.fragment
+        return httpx.Response(200, json={"success": True, "result": {"response": "ok"}})
+
+    transport = httpx.MockTransport(handle)
+    if asynchronous:
+        async with AsyncCloudflare(
+            api_token="test-token", http_client=httpx.AsyncClient(transport=transport)
+        ) as client:
+            await client.ai.run(model_name, account_id="account/id", prompt="Hello")
+    else:
+        with Cloudflare(api_token="test-token", http_client=httpx.Client(transport=transport)) as sync_client:
+            sync_client.ai.run(model_name, account_id="account/id", prompt="Hello")
+
+
+@pytest.mark.parametrize("asynchronous", [False, True])
+@pytest.mark.parametrize("model_name", ["@cf/../model", "@cf/./model"])
+async def test_model_path_rejects_dot_segments(asynchronous: bool, model_name: str) -> None:
+    def handle(_request: httpx.Request) -> httpx.Response:
+        pytest.fail("A dot-segment model must be rejected before an HTTP request is sent")
+
+    transport = httpx.MockTransport(handle)
+    if asynchronous:
+        async with AsyncCloudflare(
+            api_token="test-token", http_client=httpx.AsyncClient(transport=transport)
+        ) as client:
+            with pytest.raises(ValueError, match="dot-segment"):
+                await client.ai.run(model_name, account_id="account", prompt="Hello")
+    else:
+        with Cloudflare(api_token="test-token", http_client=httpx.Client(transport=transport)) as sync_client:
+            with pytest.raises(ValueError, match="dot-segment"):
+                sync_client.ai.run(model_name, account_id="account", prompt="Hello")