diff --git a/pkgs/development/python-modules/cvxpy/default.nix b/pkgs/development/python-modules/cvxpy/default.nix
index 8d2b6398c4b..29b19414151 100644
--- a/pkgs/development/python-modules/cvxpy/default.nix
+++ b/pkgs/development/python-modules/cvxpy/default.nix
@@ -11,18 +11,19 @@
 , scs
 , six
   # Check inputs
+, pytestCheckHook
 , nose
 }:
 
 buildPythonPackage rec {
   pname = "cvxpy";
-  version = "1.1.4";
+  version = "1.1.5";
 
   disabled = pythonOlder "3.5";
 
   src = fetchPypi {
     inherit pname version;
-    sha256 = "1f37da2f891508ebc2bbb2b75c46a2076be39a60a45c8a88261e000e8aabeef2";
+    sha256 = "7c826a874db2e4cefe54e63ebd3a3763d0d72e55a17c7d1cfec80008a87b8d81";
   };
 
   propagatedBuildInputs = [
@@ -36,15 +37,19 @@ buildPythonPackage rec {
     six
   ];
 
-  checkInputs = [ nose ];
-  checkPhase = ''
-    nosetests cvxpy
-  '';
+  checkInputs = [ pytestCheckHook nose ];
+  pytestFlagsArray = [ "./cvxpy" ];
+  # Disable the slowest benchmarking tests, cuts test time in half
+  disabledTests = [
+    "test_tv_inpainting"
+    "test_diffcp_sdp_example"
+  ];
 
   meta = with lib; {
     description = "A domain-specific language for modeling convex optimization problems in Python.";
     homepage = "https://www.cvxpy.org/";
     downloadPage = "https://github.com/cvxgrp/cvxpy/releases";
+    changelog = "https://github.com/cvxgrp/cvxpy/releases/tag/v${version}";
     license = licenses.asl20;
     maintainers = with maintainers; [ drewrisinger ];
   };