diff --git a/src/Ops.jl b/src/Ops.jl
index 18ab2d7d4b..e7ffe033ae 100644
--- a/src/Ops.jl
+++ b/src/Ops.jl
@@ -950,28 +950,49 @@ end
 #     return TracedRArray{T,N}((), res, size(x))
 # end
 
-# sorting ops
-# TODO need to trace over `comparator`
-# function sort(
-#     x::TracedRArray{T,N};
-#     comparator,
-#     dimension=-1,
-#     is_stable=false,
-#     location=mlir_stacktrace("sort", @__FILE__, @__LINE__),
-# ) where {T,N}
-#     dimension = MLIR.IR.Attribute(dimension)
-#     is_stable = MLIR.IR.Attribute(is_stable)
-#     res = MLIR.IR.result(
-#         stablehlo.sort(
-#             x.mlir_data;
-#             result=mlir_type(TracedRArray{T,N}, size(x)),
-#             dimension,
-#             is_stable,
-#             location,
-#         ),
-#     )
-#     return TracedRArray{T,N}((), res, size(x))
-# end
+@noinline function sort(
+    x::TracedRArray{T,N};
+    comparator,
+    dimension=1,
+    is_stable=false,
+    location=mlir_stacktrace("sort", @__FILE__, @__LINE__),
+) where {T,N}
+    #C4:
+    @assert 0 < dimension <= ndims(x) "$x invalid dimension"
+
+    (a, b) = (Reactant.ConcreteRNumber(T(0)), Reactant.ConcreteRNumber(T(0)))
+    func = Reactant.TracedUtils.make_mlir_fn(comparator, (a, b), (), "main"; no_args_in_result=true, return_dialect=:stablehlo)[2]
+    @assert MLIR.IR.nregions(func) == 1
+    fn_name = String(
+        MLIR.IR.attr(func, String(MLIR.API.mlirSymbolTableGetSymbolAttributeName()))
+    )
+    #C5:
+    @assert fn_name == "main" "$comparator: no function generated"
+    ftype_attr = MLIR.IR.attr(func, "function_type")
+    ftype = MLIR.IR.Type(ftype_attr)
+    @assert MLIR.IR.result(ftype) == MLIR.IR.TensorType((), MLIR.IR.Type(Bool)) error(
+        "$comparator return type is not tensor<i1>"
+    )
+
+    comparator = MLIR.IR.Region()
+    MLIR.API.mlirRegionTakeBody(comparator, MLIR.IR.region(func, 1))
+    MLIR.IR.rmfromparent!(func)
+
+    dimension = MLIR.IR.Attribute(dimension - 1)
+    is_stable = MLIR.IR.Attribute(is_stable)
+
+    res = MLIR.IR.result(
+        stablehlo.sort(
+            [x.mlir_data];
+            result_0=[mlir_type(TracedRArray{T,N}, size(x))],
+            dimension,
+            is_stable,
+            comparator,
+            location,
+        ),
+    )
+    return TracedRArray{T,N}((), res, size(x))
+end
 
 @noinline function top_k(
     x::TracedRArray{T,N}, k; location=mlir_stacktrace("top_k", @__FILE__, @__LINE__)
diff --git a/test/Project.toml b/test/Project.toml
index d8861a1aae..aa1291edfe 100644
--- a/test/Project.toml
+++ b/test/Project.toml
@@ -43,6 +43,7 @@ NNlib = "0.9.26"
 OneHotArrays = "0.2.6"
 Optimisers = "0.4"
 Random = "1.10"
+Random123 = "1"
 SafeTestsets = "0.1"
 SpecialFunctions = "2.4"
 Statistics = "1.10"
diff --git a/test/ops.jl b/test/ops.jl
index 82ec4cc8b8..561e2911ba 100644
--- a/test/ops.jl
+++ b/test/ops.jl
@@ -688,6 +688,18 @@ end
     end
 end
 
+@testset "sort" begin
+    basic_sort(x, dimension) = Reactant.Ops.sort(x; comparator=(a, b) -> a < b, dimension)
+    for i in 1:3
+        t_size = tuple(fill(10, (i,))...)
+        x = Reactant.to_rarray(randn(t_size))
+
+        for j in 1:i
+            @test (i == 1 ? sort(x) : sort(x; dims=j)) == @jit basic_sort(x, j)
+        end
+    end
+end
+
 @testset "slice" begin
     x = ConcreteRArray([1, 2, 3, 4])
     @test [2, 3] == @jit Ops.slice(x, [2], [3])