diff --git a/fastapi/_compat/main.py b/fastapi/_compat/main.py
index 652b461a6..95053a237 100644
--- a/fastapi/_compat/main.py
+++ b/fastapi/_compat/main.py
@@ -33,7 +33,7 @@ def get_cached_model_fields(model: type[BaseModel]) -> list[ModelField]:
     if lenient_issubclass(model, may_v1.BaseModel):
         from fastapi._compat import v1
 
-        return v1.get_model_fields(model)
+        return v1.get_model_fields(model)  # type: ignore[arg-type,return-value]
     else:
         from . import v2
 
@@ -166,7 +166,8 @@ def get_compat_model_name_map(fields: list[ModelField]) -> ModelNameMap:
         from fastapi._compat import v1
 
         v1_flat_models = v1.get_flat_models_from_fields(
-            v1_model_fields, known_models=set()
+            v1_model_fields,  # type: ignore[arg-type]
+            known_models=set(),
         )
         all_flat_models = v1_flat_models
     else:
@@ -174,9 +175,9 @@ def get_compat_model_name_map(fields: list[ModelField]) -> ModelNameMap:
 
     v2_model_fields = [field for field in fields if isinstance(field, v2.ModelField)]
     v2_flat_models = v2.get_flat_models_from_fields(v2_model_fields, known_models=set())
-    all_flat_models = all_flat_models.union(v2_flat_models)
+    all_flat_models = all_flat_models.union(v2_flat_models)  # type: ignore[arg-type]
 
-    model_name_map = v2.get_model_name_map(all_flat_models)
+    model_name_map = v2.get_model_name_map(all_flat_models)  # type: ignore[arg-type]
     return model_name_map
 
 
@@ -195,7 +196,7 @@ def get_definitions(
     if sys.version_info < (3, 14):
         v1_fields = [field for field in fields if isinstance(field, may_v1.ModelField)]
         v1_field_maps, v1_definitions = may_v1.get_definitions(
-            fields=v1_fields,
+            fields=v1_fields,  # type: ignore[arg-type]
             model_name_map=model_name_map,
             separate_input_output_schemas=separate_input_output_schemas,
         )
@@ -207,7 +208,7 @@ def get_definitions(
             separate_input_output_schemas=separate_input_output_schemas,
         )
         all_definitions = {**v1_definitions, **v2_definitions}
-        all_field_maps = {**v1_field_maps, **v2_field_maps}
+        all_field_maps = {**v1_field_maps, **v2_field_maps}  # type: ignore[misc]
         return all_field_maps, all_definitions
 
     # Pydantic v1 is not supported since Python 3.14
diff --git a/fastapi/_compat/may_v1.py b/fastapi/_compat/may_v1.py
index c77216228..3ac86aa98 100644
--- a/fastapi/_compat/may_v1.py
+++ b/fastapi/_compat/may_v1.py
@@ -102,7 +102,7 @@ def _normalize_errors(errors: Sequence[Any]) -> list[dict[str, Any]]:
     use_errors: list[Any] = []
     for error in errors:
         if isinstance(error, ErrorWrapper):
-            new_errors = ValidationError(  # type: ignore[call-arg]
+            new_errors = ValidationError(
                 errors=[error], model=RequestErrorModel
             ).errors()
             use_errors.extend(new_errors)
diff --git a/fastapi/_compat/v1.py b/fastapi/_compat/v1.py
index 1cdb6a7ea..b0c75555d 100644
--- a/fastapi/_compat/v1.py
+++ b/fastapi/_compat/v1.py
@@ -11,14 +11,12 @@ from typing import (
 from fastapi._compat import shared
 from fastapi.openapi.constants import REF_PREFIX as REF_PREFIX
 from fastapi.types import ModelNameMap
-from pydantic.v1 import BaseConfig as BaseConfig  # type: ignore[assignment]
-from pydantic.v1 import BaseModel as BaseModel  # type: ignore[assignment]
-from pydantic.v1 import (  # type: ignore[assignment]
-    ValidationError as ValidationError,
-)
-from pydantic.v1 import create_model as create_model  # type: ignore[no-redef]
+from pydantic.v1 import BaseConfig as BaseConfig
+from pydantic.v1 import BaseModel as BaseModel
+from pydantic.v1 import ValidationError as ValidationError
+from pydantic.v1 import create_model as create_model
 from pydantic.v1.class_validators import Validator as Validator
-from pydantic.v1.color import Color as Color  # type: ignore[assignment]
+from pydantic.v1.color import Color as Color
 from pydantic.v1.error_wrappers import ErrorWrapper as ErrorWrapper
 from pydantic.v1.fields import (
     SHAPE_FROZENSET,
@@ -29,19 +27,14 @@ from pydantic.v1.fields import (
     SHAPE_TUPLE,
     SHAPE_TUPLE_ELLIPSIS,
 )
-from pydantic.v1.fields import FieldInfo as FieldInfo  # type: ignore[assignment]
+from pydantic.v1.fields import FieldInfo as FieldInfo
 from pydantic.v1.fields import ModelField as ModelField
 from pydantic.v1.fields import Undefined as Undefined
 from pydantic.v1.fields import UndefinedType as UndefinedType
 from pydantic.v1.networks import AnyUrl as AnyUrl
-from pydantic.v1.networks import (  # type: ignore[assignment]
-    NameEmail as NameEmail,
-)
+from pydantic.v1.networks import NameEmail as NameEmail
 from pydantic.v1.schema import TypeModelSet as TypeModelSet
-from pydantic.v1.schema import (
-    field_schema,
-    model_process_schema,
-)
+from pydantic.v1.schema import field_schema, model_process_schema
 from pydantic.v1.schema import (
     get_annotation_from_field_info as get_annotation_from_field_info,
 )
@@ -52,12 +45,8 @@ from pydantic.v1.schema import (
     get_flat_models_from_fields as get_flat_models_from_fields,
 )
 from pydantic.v1.schema import get_model_name_map as get_model_name_map
-from pydantic.v1.types import (  # type: ignore[assignment]
-    SecretBytes as SecretBytes,
-)
-from pydantic.v1.types import (  # type: ignore[assignment]
-    SecretStr as SecretStr,
-)
+from pydantic.v1.types import SecretBytes as SecretBytes
+from pydantic.v1.types import SecretStr as SecretStr
 from pydantic.v1.typing import evaluate_forwardref as evaluate_forwardref
 from pydantic.v1.utils import lenient_issubclass as lenient_issubclass
 from pydantic.version import VERSION as PYDANTIC_VERSION
@@ -163,7 +152,7 @@ def _model_dump(
 
 
 def _get_model_config(model: BaseModel) -> Any:
-    return model.__config__  # type: ignore[attr-defined]
+    return model.__config__
 
 
 def get_schema_from_model_field(
@@ -175,8 +164,10 @@ def get_schema_from_model_field(
     ],
     separate_input_output_schemas: bool = True,
 ) -> dict[str, Any]:
-    return field_schema(  # type: ignore[no-any-return]
-        field, model_name_map=model_name_map, ref_prefix=REF_PREFIX
+    return field_schema(
+        field,
+        model_name_map=model_name_map,  # type: ignore[arg-type]
+        ref_prefix=REF_PREFIX,
     )[0]
 
 
@@ -195,7 +186,7 @@ def get_definitions(
     dict[str, dict[str, Any]],
 ]:
     models = get_flat_models_from_fields(fields, known_models=set())
-    return {}, get_model_definitions(flat_models=models, model_name_map=model_name_map)
+    return {}, get_model_definitions(flat_models=models, model_name_map=model_name_map)  # type: ignore[arg-type]
 
 
 def is_scalar_field(field: ModelField) -> bool:
@@ -207,7 +198,7 @@ def is_sequence_field(field: ModelField) -> bool:
 
 
 def is_bytes_field(field: ModelField) -> bool:
-    return lenient_issubclass(field.type_, bytes)  # type: ignore[no-any-return]
+    return lenient_issubclass(field.type_, bytes)
 
 
 def is_bytes_sequence_field(field: ModelField) -> bool:
@@ -227,9 +218,9 @@ def create_body_model(
 ) -> type[BaseModel]:
     BodyModel = create_model(model_name)
     for f in fields:
-        BodyModel.__fields__[f.name] = f  # type: ignore[index]
+        BodyModel.__fields__[f.name] = f
     return BodyModel
 
 
 def get_model_fields(model: type[BaseModel]) -> list[ModelField]:
-    return list(model.__fields__.values())  # type: ignore[attr-defined]
+    return list(model.__fields__.values())
diff --git a/fastapi/dependencies/utils.py b/fastapi/dependencies/utils.py
index 8f34acae0..0ba93524c 100644
--- a/fastapi/dependencies/utils.py
+++ b/fastapi/dependencies/utils.py
@@ -409,7 +409,8 @@ def analyze_param(
         if isinstance(fastapi_annotation, (FieldInfo, may_v1.FieldInfo)):
             # Copy `field_info` because we mutate `field_info.default` below.
             field_info = copy_field_info(
-                field_info=fastapi_annotation, annotation=use_annotation
+                field_info=fastapi_annotation,  # type: ignore[arg-type]
+                annotation=use_annotation,
             )
             assert field_info.default in {
                 Undefined,
@@ -443,7 +444,7 @@ def analyze_param(
             "Cannot specify FastAPI annotations in `Annotated` and default value"
             f" together for {param_name!r}"
         )
-        field_info = value
+        field_info = value  # type: ignore[assignment]
         if isinstance(field_info, FieldInfo):
             field_info.annotation = type_annotation
 
@@ -483,7 +484,7 @@ def analyze_param(
             field_info = params.File(annotation=use_annotation, default=default_value)
         elif not field_annotation_is_scalar(annotation=type_annotation):
             if annotation_is_pydantic_v1(use_annotation):
-                field_info = temp_pydantic_v1_params.Body(
+                field_info = temp_pydantic_v1_params.Body(  # type: ignore[assignment]
                     annotation=use_annotation, default=default_value
                 )
             else:
diff --git a/fastapi/encoders.py b/fastapi/encoders.py
index cbeeee455..549da3279 100644
--- a/fastapi/encoders.py
+++ b/fastapi/encoders.py
@@ -228,11 +228,11 @@ def jsonable_encoder(
         # TODO: remove when deprecating Pydantic v1
         encoders: dict[Any, Any] = {}
         if isinstance(obj, may_v1.BaseModel):
-            encoders = getattr(obj.__config__, "json_encoders", {})  # type: ignore[attr-defined]
+            encoders = getattr(obj.__config__, "json_encoders", {})
             if custom_encoder:
                 encoders = {**encoders, **custom_encoder}
         obj_dict = _model_dump(
-            obj,
+            obj,  # type: ignore[arg-type]
             mode="json",
             include=include,
             exclude=exclude,
diff --git a/fastapi/openapi/models.py b/fastapi/openapi/models.py
index 276365990..680f67832 100644
--- a/fastapi/openapi/models.py
+++ b/fastapi/openapi/models.py
@@ -218,7 +218,7 @@ class Example(TypedDict, total=False):
     value: Optional[Any]
     externalValue: Optional[AnyUrl]
 
-    __pydantic_config__ = {"extra": "allow"}
+    __pydantic_config__ = {"extra": "allow"}  # type: ignore[misc]
 
 
 class ParameterInType(Enum):
diff --git a/fastapi/routing.py b/fastapi/routing.py
index d212e4e40..a1f2e44bb 100644
--- a/fastapi/routing.py
+++ b/fastapi/routing.py
@@ -153,7 +153,7 @@ def _prepare_response_content(
     exclude_none: bool = False,
 ) -> Any:
     if isinstance(res, may_v1.BaseModel):
-        read_with_orm_mode = getattr(_get_model_config(res), "read_with_orm_mode", None)
+        read_with_orm_mode = getattr(_get_model_config(res), "read_with_orm_mode", None)  # type: ignore[arg-type]
         if read_with_orm_mode:
             # Let from_orm extract the data from this model instead of converting
             # it now to a dict.
@@ -161,7 +161,7 @@ def _prepare_response_content(
             # access instead of dict iteration, e.g. lazy relationships.
             return res
         return _model_dump(
-            res,
+            res,  # type: ignore[arg-type]
             by_alias=True,
             exclude_unset=exclude_unset,
             exclude_defaults=exclude_defaults,
diff --git a/fastapi/temp_pydantic_v1_params.py b/fastapi/temp_pydantic_v1_params.py
index a01d4a2aa..1bda0ea9b 100644
--- a/fastapi/temp_pydantic_v1_params.py
+++ b/fastapi/temp_pydantic_v1_params.py
@@ -10,7 +10,7 @@ from ._compat.may_v1 import FieldInfo, Undefined
 _Unset: Any = Undefined
 
 
-class Param(FieldInfo):  # type: ignore[misc]
+class Param(FieldInfo):
     in_: ParamTypes
 
     def __init__(
@@ -108,7 +108,7 @@ class Param(FieldInfo):  # type: ignore[misc]
         return f"{self.__class__.__name__}({self.default})"
 
 
-class Path(Param):  # type: ignore[misc]
+class Path(Param):
     in_ = ParamTypes.path
 
     def __init__(
@@ -194,7 +194,7 @@ class Path(Param):  # type: ignore[misc]
         )
 
 
-class Query(Param):  # type: ignore[misc]
+class Query(Param):
     in_ = ParamTypes.query
 
     def __init__(
@@ -278,7 +278,7 @@ class Query(Param):  # type: ignore[misc]
         )
 
 
-class Header(Param):  # type: ignore[misc]
+class Header(Param):
     in_ = ParamTypes.header
 
     def __init__(
@@ -364,7 +364,7 @@ class Header(Param):  # type: ignore[misc]
         )
 
 
-class Cookie(Param):  # type: ignore[misc]
+class Cookie(Param):
     in_ = ParamTypes.cookie
 
     def __init__(
@@ -448,7 +448,7 @@ class Cookie(Param):  # type: ignore[misc]
         )
 
 
-class Body(FieldInfo):  # type: ignore[misc]
+class Body(FieldInfo):
     def __init__(
         self,
         default: Any = Undefined,
@@ -549,7 +549,7 @@ class Body(FieldInfo):  # type: ignore[misc]
         return f"{self.__class__.__name__}({self.default})"
 
 
-class Form(Body):  # type: ignore[misc]
+class Form(Body):
     def __init__(
         self,
         default: Any = Undefined,
@@ -633,7 +633,7 @@ class Form(Body):  # type: ignore[misc]
         )
 
 
-class File(Form):  # type: ignore[misc]
+class File(Form):
     def __init__(
         self,
         default: Any = Undefined,
diff --git a/fastapi/utils.py b/fastapi/utils.py
index 42feb171c..c4631d7ed 100644
--- a/fastapi/utils.py
+++ b/fastapi/utils.py
@@ -105,7 +105,7 @@ def create_model_field(
         from fastapi._compat import v1
 
         try:
-            return v1.ModelField(**v1_kwargs)  # type: ignore[no-any-return]
+            return v1.ModelField(**v1_kwargs)  # type: ignore[return-value]
         except RuntimeError:
             raise fastapi.exceptions.FastAPIError(
                 _invalid_args_message.format(type_=type_)
@@ -126,7 +126,7 @@ def create_model_field(
     from fastapi._compat import v1
 
     try:
-        return v1.ModelField(**v1_kwargs)  # type: ignore[no-any-return]
+        return v1.ModelField(**v1_kwargs)
     except RuntimeError:
         raise fastapi.exceptions.FastAPIError(
             _invalid_args_message.format(type_=type_)