diff --git a/mmv1/products/vertexai/EvaluationMetric.yaml b/mmv1/products/vertexai/EvaluationMetric.yaml
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+# Copyright 2026 Google Inc.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+---
+name: EvaluationMetric
+description: |
+  A reusable metric configuration for Vertex AI evaluation. EvaluationMetrics
+  define how model outputs are scored, supporting predefined metrics,
+  LLM-based metrics, pointwise and pairwise comparisons, and custom code
+  execution metrics.
+references:
+  guides:
+    'Official Documentation': 'https://cloud.google.com/vertex-ai/generative-ai/docs/evaluation/overview'
+  api: 'https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.evaluationMetrics'
+docs:
+base_url: projects/{{project}}/locations/{{region}}/evaluationMetrics
+self_link: projects/{{project}}/locations/{{region}}/evaluationMetrics/{{name}}
+create_url: projects/{{project}}/locations/{{region}}/evaluationMetrics?evaluationMetricId={{evaluation_metric_id}}
+immutable: true
+id_format: projects/{{project}}/locations/{{region}}/evaluationMetrics/{{name}}
+import_format:
+  - projects/{{project}}/locations/{{region}}/evaluationMetrics/{{name}}
+timeouts:
+  insert_minutes: 20
+  delete_minutes: 20
+async:
+  type: OpAsync
+  operation:
+    base_url: '{{op_id}}'
+  actions: ['delete']
+custom_code:
+samples:
+  - name: vertex_ai_evaluation_metric
+    primary_resource_id: example
+    steps:
+      - name: vertex_ai_evaluation_metric
+        resource_id_vars:
+          evaluation_metric_id: 'example-metric'
+        test_env_vars:
+          project: PROJECT_NAME
+parameters:
+  - name: region
+    type: String
+    description: The region of the EvaluationMetric. eg us-central1
+    url_param_only: true
+    required: true
+    immutable: true
+  - name: evaluationMetricId
+    type: String
+    description: |
+      The ID to use for the EvaluationMetric, which will become the final
+      component of the resource name. This value should be 1-63 characters,
+      and valid characters are /[a-z][0-9]-/. The first character must be
+      a lowercase letter, and the last character must be a lowercase letter
+      or number. If not provided, the server will generate a unique ID.
+    url_param_only: true
+    immutable: true
+    default_from_api: true
+properties:
+  - name: name
+    type: String
+    description: |
+      The short name of the EvaluationMetric (the final component of the resource name).
+    output: true
+    custom_flatten: templates/terraform/custom_flatten/name_from_self_link.tmpl
+  - name: displayName
+    type: String
+    description: |
+      The user-friendly display name for the EvaluationMetric.
+    required: true
+  - name: description
+    type: String
+    description: |
+      A description of the EvaluationMetric.
+  - name: metric
+    type: String
+    description: |
+      The metric configuration as a JSON string. Uses camelCase field names
+      to match the API format. Supports LLM-based metrics and custom code
+      execution metrics.
+      See the [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/Metric)
+      for the full schema.
+    state_func: 'func(v interface{}) string { s, _ := structure.NormalizeJsonString(v); return s }'
+    custom_flatten: templates/terraform/custom_flatten/json_schema.tmpl
+    custom_expand: templates/terraform/custom_expand/json_schema.tmpl
+    validation:
+      function: validation.StringIsJSON
+    # The API returns the metric JSON with additional derived fields
+    # (e.g. metadata.title populated from display_name) that are not part
+    # of the user's input, causing perpetual diffs.
+    ignore_read: true
+  - name: createTime
+    type: String
+    description: |
+      The timestamp of when the EvaluationMetric was created in RFC3339 UTC "Zulu" format,
+      with nanosecond resolution and up to nine fractional digits.
+    output: true
+  - name: updateTime
+    type: String
+    description: |
+      The timestamp of when the EvaluationMetric was last updated in RFC3339 UTC "Zulu" format,
+      with nanosecond resolution and up to nine fractional digits.
+    output: true
+  - name: labels
+    type: KeyValueLabels
+    description: |
+      Labels for the EvaluationMetric.
+  - name: gcsUri
+    type: String
+    description: |
+      The Google Cloud Storage URI that stores the metric specification.
+  - name: encryptionSpec
+    type: NestedObject
+    description: |
+      Customer-managed encryption key spec for this EvaluationMetric. If set,
+      this EvaluationMetric will be secured by this key.
+    immutable: true
+    properties:
+      - name: kmsKeyName
+        type: String
+        description: |
+          Required. The Cloud KMS resource identifier of the customer managed encryption key
+          used to protect a resource. Has the form:
+          `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+          The key needs to be in the same region as where the resource is created.
+        immutable: true
diff --git a/mmv1/templates/terraform/samples/services/vertexai/vertex_ai_evaluation_metric.tf.tmpl b/mmv1/templates/terraform/samples/services/vertexai/vertex_ai_evaluation_metric.tf.tmpl
new file mode 100644
index 000000000000..7595a04f0b39
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+++ b/mmv1/templates/terraform/samples/services/vertexai/vertex_ai_evaluation_metric.tf.tmpl
@@ -0,0 +1,12 @@
+resource "google_vertex_ai_evaluation_metric" "{{$.PrimaryResourceId}}" {
+  evaluation_metric_id = "{{index $.ResourceIdVars "evaluation_metric_id"}}"
+  region               = "us-central1"
+  display_name         = "Test Evaluation Metric"
+  description          = "An evaluation metric for Terraform acceptance testing"
+
+  metric = jsonencode({
+    llmBasedMetricSpec = {
+      metricPromptTemplate = "Rate the quality of the following response on a scale of 1 to 5. Response: {response}"
+    }
+  })
+}