diff --git a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_drf.R b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_drf.R
index 39c74e602288..6472fac40c5b 100644
--- a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_drf.R
+++ b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_drf.R
@@ -21,8 +21,8 @@ test.model.generic.drf <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame","H2OBinomialModel: drf", "Model ID", "H2OBinomialMetrics: drf"),
-                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic"))
+                   c("Extract .+ frame","H2OBinomialModel: drf", "Model ID", "H2OBinomialMetrics: drf", "AIC"),
+                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic", "AIC", "loglikelihood"))
     
     generic_model_preds  <- h2o.predict(generic_model, data)
     expect_equal(length(generic_model_preds), 3)
@@ -45,8 +45,8 @@ test.model.generic.drf <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame", "H2OMultinomialModel: drf", "Model ID", "H2OMultinomialMetrics: drf"),
-                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic"))
+                   c("Extract .+ frame", "H2OMultinomialModel: drf", "Model ID", "H2OMultinomialMetrics: drf", "AIC"),
+                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic", "AIC"))
     
     # Regression
     cols <- c("Origin", "Dest")
diff --git a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_gbm.R b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_gbm.R
index a625fb15feb7..15155063634c 100644
--- a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_gbm.R
+++ b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_gbm.R
@@ -16,8 +16,8 @@ test.model.generic.gbm <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame","H2OBinomialModel: gbm", "Model ID", "H2OBinomialMetrics: gbm"),
-                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic"))
+                   c("Extract .+ frame","H2OBinomialModel: gbm", "Model ID", "H2OBinomialMetrics: gbm", "AIC"),
+                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic", "AIC"))
     
     generic_model_preds  <- h2o.predict(generic_model, data)
     expect_equal(length(generic_model_preds), 3)
@@ -54,8 +54,8 @@ test.model.generic.gbm <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame", "H2OMultinomialModel: gbm", "Model ID", "H2OMultinomialMetrics: gbm"),
-                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic"))
+                   c("Extract .+ frame", "H2OMultinomialModel: gbm", "Model ID", "H2OMultinomialMetrics: gbm", "AIC"),
+                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic", "AIC"))
     
 }
 
diff --git a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_glm.R b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_glm.R
index 5f3c7f317474..b8441b5971f1 100644
--- a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_glm.R
+++ b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_glm.R
@@ -46,9 +46,8 @@ test.model.generic.glm <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame","H2OBinomialModel: glm", "Model ID", "H2OBinomialMetrics: glm"),
-                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic"))
-    
+                   c("Extract .+ frame","H2OBinomialModel: glm", "Model ID", "H2OBinomialMetrics: glm", "AIC"),
+                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic", "AIC"))
     # Multinomial
     
     cols <- c("Origin", "Distance")
@@ -64,9 +63,8 @@ test.model.generic.glm <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame","H2OMultinomialModel: glm", "Model ID", "H2OMultinomialMetrics: glm"),
-                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic"))
-    
+                   c("Extract .+ frame","H2OMultinomialModel: glm", "Model ID", "H2OMultinomialMetrics: glm", "AIC"),
+                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic", "AIC"))
     # Ordinal
     
     cols <- c("Origin", "Distance")
diff --git a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_xgboost.R b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_xgboost.R
index 761540cd8d92..62571ba7a0c5 100644
--- a/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_xgboost.R
+++ b/h2o-r/tests/testdir_algos/generic/runit_generic_model_mojo_xgboost.R
@@ -16,8 +16,8 @@ test.model.generic.gbm <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame","H2OBinomialModel: xgboost", "Model ID", "H2OBinomialMetrics: xgboost"),
-                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic"))
+                   c("Extract .+ frame","H2OBinomialModel: xgboost", "Model ID", "H2OBinomialMetrics: xgboost", "AIC"),
+                   c("H2OBinomialModel: generic", "Model ID", "H2OBinomialMetrics: generic", "AIC"))
     
     generic_model_preds  <- h2o.predict(generic_model, data)
     expect_equal(length(generic_model_preds), 3)
@@ -54,8 +54,8 @@ test.model.generic.gbm <- function() {
     original_output <- capture.output(print(original_model))
     generic_output <- capture.output(print(generic_model))
     compare_output(original_output, generic_output,
-                   c("Extract .+ frame", "H2OMultinomialModel: xgboost", "Model ID", "H2OMultinomialMetrics: xgboost"),
-                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic"))
+                   c("Extract .+ frame", "H2OMultinomialModel: xgboost", "Model ID", "H2OMultinomialMetrics: xgboost", "AIC"),
+                   c("H2OMultinomialModel: generic", "Model ID", "H2OMultinomialMetrics: generic", "AIC"))
     
 }