diff --git a/lib/ModelingToolkitBase/Project.toml b/lib/ModelingToolkitBase/Project.toml
index 00778986f7..b05a2eadf0 100644
--- a/lib/ModelingToolkitBase/Project.toml
+++ b/lib/ModelingToolkitBase/Project.toml
@@ -36,6 +36,7 @@ Libdl = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Moshi = "2e0e35c7-a2e4-4343-998d-7ef72827ed2d"
 NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
+NonlinearSolveBase = "be0214bd-f91f-a760-ac4e-3421ce2b2da0"
 OffsetArrays = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
 OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
 PreallocationTools = "d236fae5-4411-538c-8e31-a6e3d9e00b46"
@@ -48,6 +49,7 @@ Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 RuntimeGeneratedFunctions = "7e49a35a-f44a-4d26-94aa-eba1b4ca6b47"
 SCCNonlinearSolve = "9dfe8606-65a1-4bb3-9748-cb89d1561431"
 SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
+SciMLLogging = "a6db7da4-7206-11f0-1eab-35f2a5dbe1d1"
 SciMLPublic = "431bcebd-1456-4ced-9d72-93c2757fff0b"
 SciMLStructures = "53ae85a6-f571-4167-b2af-e1d143709226"
 Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
@@ -140,6 +142,7 @@ Mooncake = "0.5"
 Moshi = "0.3.6"
 NaNMath = "0.3, 1"
 NonlinearSolve = "4.3"
+NonlinearSolveBase = "2.25.0"
 OffsetArrays = "1"
 OrderedCollections = "1"
 OrdinaryDiffEq = "6.82.0, 7"
@@ -160,6 +163,7 @@ Reexport = "0.2, 1"
 RuntimeGeneratedFunctions = "0.5.12"
 SCCNonlinearSolve = "1.8.1"
 SciMLBase = "2.149.0, 3"
+SciMLLogging = "1.10.1, 2"
 SciMLPublic = "1.0.0"
 SciMLStructures = "1.7"
 Serialization = "1"
diff --git a/lib/ModelingToolkitBase/src/ModelingToolkitBase.jl b/lib/ModelingToolkitBase/src/ModelingToolkitBase.jl
index 68fb203fc2..d6a96e89b0 100644
--- a/lib/ModelingToolkitBase/src/ModelingToolkitBase.jl
+++ b/lib/ModelingToolkitBase/src/ModelingToolkitBase.jl
@@ -100,6 +100,8 @@ import Random: AbstractRNG
 import DomainSets
 # For `LinearInitializationProblem`
 import SCCNonlinearSolve
+using NonlinearSolveBase: NonlinearVerbosity
+using SciMLLogging: None
 
 export @derivatives
 
diff --git a/lib/ModelingToolkitBase/src/systems/problem_utils.jl b/lib/ModelingToolkitBase/src/systems/problem_utils.jl
index 8c9a2b7573..979fc6ad4f 100644
--- a/lib/ModelingToolkitBase/src/systems/problem_utils.jl
+++ b/lib/ModelingToolkitBase/src/systems/problem_utils.jl
@@ -1416,7 +1416,8 @@ function maybe_build_initialization_problem(
 
     orig_op = copy(op)
     initializeprob = ModelingToolkitBase.InitializationProblem{iip}(
-        sys, t, op; guesses, time_dependent_init, initialization_eqs, fast_path = true,
+        sys, t, op; verbose = NonlinearVerbosity(linear_verbosity = None()),
+        guesses, time_dependent_init, initialization_eqs, fast_path = true,
         use_scc, u0_constructor, p_constructor, eval_expression, eval_module,
         missing_guess_value, is_steadystateprob, kwargs...
     )
diff --git a/lib/ModelingToolkitBase/test/initializationsystem.jl b/lib/ModelingToolkitBase/test/initializationsystem.jl
index 1b77a94c21..a19f462e97 100644
--- a/lib/ModelingToolkitBase/test/initializationsystem.jl
+++ b/lib/ModelingToolkitBase/test/initializationsystem.jl
@@ -10,6 +10,8 @@ using DiffEqBase: BrownFullBasicInit
 import DiffEqNoiseProcess
 using Setfield: @set!
 import SymbolicUtils as SU
+using NonlinearSolveBase: NonlinearVerbosity
+using SciMLLogging: None
 
 const ERRMOD = @isdefined(ModelingToolkit) ? ModelingToolkit.StateSelection : ModelingToolkitBase
 missing_guess_value = if @isdefined(ModelingToolkit)
@@ -2040,6 +2042,25 @@ if @isdefined(ModelingToolkit)
     end
 end
 
+@testset "Default `verbose` kwarg silences linear solve chatter on initializeprob" begin
+    @variables a(t) b(t)
+    @parameters k
+    eqs = [D(a) ~ k * a + b,
+        0 ~ a + b - 1]
+    @mtkbuild verbsys = ODESystem(eqs, t)
+
+    prob = ODEProblem(verbsys, [a => 0.5, k => 1.0], (0.0, 1.0))
+
+    @test haskey(prob.f.initializeprob.kwargs, :verbose)
+    v = prob.f.initializeprob.kwargs[:verbose]
+    @test v isa NonlinearVerbosity
+    @test v.linear_verbosity isa None
+
+    custom = NonlinearVerbosity()
+    prob2 = ODEProblem(verbsys, [a => 0.5, k => 1.0], (0.0, 1.0); verbose = custom)
+    @test prob2.f.initializeprob.kwargs[:verbose] === custom
+end
+
 @testset "Output arrays from constant RHS under ForwardDiff" begin
     # Issue #4457
     @parameters m=1.5 d=9.0