diff --git a/keras/api/_tf_keras/keras/ops/__init__.py b/keras/api/_tf_keras/keras/ops/__init__.py
index c5770a93c49d..da80815a3c65 100644
--- a/keras/api/_tf_keras/keras/ops/__init__.py
+++ b/keras/api/_tf_keras/keras/ops/__init__.py
@@ -18,6 +18,7 @@
 from keras.src.ops.core import fori_loop as fori_loop
 from keras.src.ops.core import is_tensor as is_tensor
 from keras.src.ops.core import map as map
+from keras.src.ops.core import print as print
 from keras.src.ops.core import saturate_cast as saturate_cast
 from keras.src.ops.core import scan as scan
 from keras.src.ops.core import scatter as scatter
diff --git a/keras/api/ops/__init__.py b/keras/api/ops/__init__.py
index c5770a93c49d..da80815a3c65 100644
--- a/keras/api/ops/__init__.py
+++ b/keras/api/ops/__init__.py
@@ -18,6 +18,7 @@
 from keras.src.ops.core import fori_loop as fori_loop
 from keras.src.ops.core import is_tensor as is_tensor
 from keras.src.ops.core import map as map
+from keras.src.ops.core import print as print
 from keras.src.ops.core import saturate_cast as saturate_cast
 from keras.src.ops.core import scan as scan
 from keras.src.ops.core import scatter as scatter
diff --git a/keras/src/backend/jax/core.py b/keras/src/backend/jax/core.py
index 747c5881106b..7db9fae3ea16 100644
--- a/keras/src/backend/jax/core.py
+++ b/keras/src/backend/jax/core.py
@@ -1,3 +1,4 @@
+from jax.debug import print  # noqa
 import jax
 import jax.experimental.sparse as jax_sparse
 import jax.numpy as jnp
diff --git a/keras/src/backend/numpy/core.py b/keras/src/backend/numpy/core.py
index 16b2303e5e43..a9441af891cc 100644
--- a/keras/src/backend/numpy/core.py
+++ b/keras/src/backend/numpy/core.py
@@ -18,6 +18,8 @@
 SUPPORTS_RAGGED_TENSORS = False
 IS_THREAD_SAFE = True
 
+_print = print
+
 
 class Variable(KerasVariable):
     def _initialize(self, value):
@@ -452,3 +454,10 @@ def remat(f):
         "utilize this feature."
     )
     return f
+
+
+def print(*args, print_options=None, **kwargs):
+    np.set_printoptions(
+        **{"threshold": 1000} if print_options is None else print_options
+    )
+    return _print(*args, **kwargs)
diff --git a/keras/src/backend/openvino/core.py b/keras/src/backend/openvino/core.py
index ec990c376bf3..0595f600bc0f 100644
--- a/keras/src/backend/openvino/core.py
+++ b/keras/src/backend/openvino/core.py
@@ -22,6 +22,8 @@
 SUPPORTS_RAGGED_TENSORS = False
 IS_THREAD_SAFE = True
 
+_print = print
+
 OPENVINO_DTYPES = {
     "float16": ov.Type.f16,
     "float32": ov.Type.f32,
@@ -664,3 +666,7 @@ def remat(f):
         "utilize this feature."
     )
     return f
+
+
+def print(*args, **kwargs):
+    return _print(*args, **kwargs)
diff --git a/keras/src/backend/tensorflow/core.py b/keras/src/backend/tensorflow/core.py
index 6896b74c519c..7843c309cb7e 100644
--- a/keras/src/backend/tensorflow/core.py
+++ b/keras/src/backend/tensorflow/core.py
@@ -2,6 +2,7 @@
 
 import numpy as np
 import tensorflow as tf
+from tensorflow import print  # noqa
 from tensorflow.compiler.tf2xla.python.xla import dynamic_update_slice
 
 from keras.src import tree
diff --git a/keras/src/backend/torch/core.py b/keras/src/backend/torch/core.py
index 6fb2ab4eeebb..c747595c8796 100644
--- a/keras/src/backend/torch/core.py
+++ b/keras/src/backend/torch/core.py
@@ -23,6 +23,8 @@
 SUPPORTS_RAGGED_TENSORS = False
 IS_THREAD_SAFE = True
 
+_print = print
+
 # Some operators such as 'aten::_foreach_mul_.Scalar'
 # are not currently implemented for the MPS device.
 # check https://github.com/pytorch/pytorch/issues/77764.
@@ -733,3 +735,10 @@ def backward(ctx, grad_output):
         if not isinstance(grads, tuple):
             grads = (grads,)
         return (None,) + grads
+
+
+def print(*args, print_options=None, **kwargs):
+    torch.set_printoptions(
+        **{"threshold": 1000} if print_options is None else print_options
+    )
+    return _print(*args, **kwargs)
diff --git a/keras/src/ops/core.py b/keras/src/ops/core.py
index 74807b280eae..cc1076f3febf 100644
--- a/keras/src/ops/core.py
+++ b/keras/src/ops/core.py
@@ -1183,3 +1183,10 @@ def grad(*args, upstream):
     ```
     """
     return backend.core.custom_gradient(f)
+
+
+@keras_export("keras.ops.print")
+def print(*args, **kwargs):
+    """Backend-specialised print function, oft handles tensors and
+    other backend-specific types."""
+    return backend.core.print(*args, **kwargs)