diff --git a/gensim/test/test_data/tfidf_model.tst b/gensim/test/test_data/tfidf_model.tst
new file mode 100644
index 0000000000..8d3c60c73e
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diff --git a/gensim/test/test_data/tfidf_model.tst.bz2 b/gensim/test/test_data/tfidf_model.tst.bz2
new file mode 100644
index 0000000000..f25e0399f4
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diff --git a/gensim/test/test_tfidfmodel.py b/gensim/test/test_tfidfmodel.py
index 3864076093..79e3742d48 100644
--- a/gensim/test/test_tfidfmodel.py
+++ b/gensim/test/test_tfidfmodel.py
@@ -89,6 +89,17 @@ def test_persistence(self):
         self.assertTrue(np.allclose(model[tstvec[1]], model2[tstvec[1]]))
         self.assertTrue(np.allclose(model[[]], model2[[]]))  # try projecting an empty vector
 
+        # Test persistence between Gensim v3.2.0 and current model.
+        model3 = tfidfmodel.TfidfModel(self.corpus, smartirs="ntc")
+        model4 = tfidfmodel.TfidfModel.load(datapath('tfidf_model.tst'))
+        idfs3 = [model3.idfs[key] for key in sorted(model3.idfs.keys())]
+        idfs4 = [model4.idfs[key] for key in sorted(model4.idfs.keys())]
+        self.assertTrue(np.allclose(idfs3, idfs4))
+        tstvec = [corpus[1], corpus[2]]
+        self.assertTrue(np.allclose(model3[tstvec[0]], model4[tstvec[0]]))
+        self.assertTrue(np.allclose(model3[tstvec[1]], model4[tstvec[1]]))
+        self.assertTrue(np.allclose(model3[[]], model4[[]]))  # try projecting an empty vector
+
         # Test persistence with using pivoted normalization
         fname = get_tmpfile('gensim_models_smartirs.tst')
         model = tfidfmodel.TfidfModel(self.corpus, pivot=0, slope=1)
@@ -99,6 +110,16 @@ def test_persistence(self):
         self.assertTrue(np.allclose(model[tstvec[0]], model2[tstvec[0]]))
         self.assertTrue(np.allclose(model[tstvec[1]], model2[tstvec[1]]))
 
+        # Test persistence between Gensim v3.2.0 and pivoted normalization compressed model.
+        model3 = tfidfmodel.TfidfModel(self.corpus, pivot=0, slope=1)
+        model4 = tfidfmodel.TfidfModel.load(datapath('tfidf_model.tst'))
+        idfs3 = [model3.idfs[key] for key in sorted(model3.idfs.keys())]
+        idfs4 = [model4.idfs[key] for key in sorted(model4.idfs.keys())]
+        self.assertTrue(np.allclose(idfs3, idfs4))
+        tstvec = [corpus[1], corpus[2]]
+        self.assertTrue(np.allclose(model3[tstvec[0]], model4[tstvec[0]]))
+        self.assertTrue(np.allclose(model3[tstvec[1]], model4[tstvec[1]]))
+
     def test_persistence_compressed(self):
         # Test persistence without using `smartirs`
         fname = get_tmpfile('gensim_models.tst.gz')
@@ -122,6 +143,17 @@ def test_persistence_compressed(self):
         self.assertTrue(np.allclose(model[tstvec[1]], model2[tstvec[1]]))
         self.assertTrue(np.allclose(model[[]], model2[[]]))  # try projecting an empty vector
 
+        # Test persistence between Gensim v3.2.0 and current compressed model.
+        model3 = tfidfmodel.TfidfModel(self.corpus, smartirs="ntc")
+        model4 = tfidfmodel.TfidfModel.load(datapath('tfidf_model.tst.bz2'))
+        idfs3 = [model3.idfs[key] for key in sorted(model3.idfs.keys())]
+        idfs4 = [model4.idfs[key] for key in sorted(model4.idfs.keys())]
+        self.assertTrue(np.allclose(idfs3, idfs4))
+        tstvec = [corpus[1], corpus[2]]
+        self.assertTrue(np.allclose(model3[tstvec[0]], model4[tstvec[0]]))
+        self.assertTrue(np.allclose(model3[tstvec[1]], model4[tstvec[1]]))
+        self.assertTrue(np.allclose(model3[[]], model4[[]]))  # try projecting an empty vector
+
         # Test persistence with using pivoted normalization
         fname = get_tmpfile('gensim_models_smartirs.tst.gz')
         model = tfidfmodel.TfidfModel(self.corpus, pivot=0, slope=1)
@@ -132,6 +164,16 @@ def test_persistence_compressed(self):
         self.assertTrue(np.allclose(model[tstvec[0]], model2[tstvec[0]]))
         self.assertTrue(np.allclose(model[tstvec[1]], model2[tstvec[1]]))
 
+        # Test persistence between Gensim v3.2.0 and pivoted normalization compressed model.
+        model3 = tfidfmodel.TfidfModel(self.corpus, pivot=0, slope=1)
+        model4 = tfidfmodel.TfidfModel.load(datapath('tfidf_model.tst.bz2'))
+        idfs3 = [model3.idfs[key] for key in sorted(model3.idfs.keys())]
+        idfs4 = [model4.idfs[key] for key in sorted(model4.idfs.keys())]
+        self.assertTrue(np.allclose(idfs3, idfs4))
+        tstvec = [corpus[1], corpus[2]]
+        self.assertTrue(np.allclose(model3[tstvec[0]], model4[tstvec[0]]))
+        self.assertTrue(np.allclose(model3[tstvec[1]], model4[tstvec[1]]))
+
     def test_consistency(self):
         docs = [corpus[1], corpus[2]]