diff --git a/src/helm/benchmark/model_metadata_registry.py b/src/helm/benchmark/model_metadata_registry.py
index 4c25c596486..b650477c3c6 100644
--- a/src/helm/benchmark/model_metadata_registry.py
+++ b/src/helm/benchmark/model_metadata_registry.py
@@ -32,6 +32,7 @@
 
 GOOGLE_PALM_2_MODEL_TAG: str = "GOOGLE_PALM_2_MODEL_TAG"
 GOOGLE_GEMINI_MODEL_TAG: str = "GOOGLE_GEMINI_MODEL_TAG"
+GOOGLE_GEMINI_PRO_VISION_V1_TAG: str = "GOOGLE_GEMINI_PRO_VISION_V1_TAG"
 GOOGLE_GEMMA_INSTRUCT_MODEL_TAG: str = "GOOGLE_GEMMA_INSTRUCT_MODEL_TAG"
 
 # Models which emit garbage tokens when temperature=0.
diff --git a/src/helm/benchmark/run_spec_factory.py b/src/helm/benchmark/run_spec_factory.py
index dbce6eb19d8..d53c5752246 100644
--- a/src/helm/benchmark/run_spec_factory.py
+++ b/src/helm/benchmark/run_spec_factory.py
@@ -16,7 +16,7 @@
     ANTHROPIC_CLAUDE_3_MODEL_TAG,
     BUGGY_TEMP_0_TAG,
     CHATML_MODEL_TAG,
-    GOOGLE_GEMINI_MODEL_TAG,
+    GOOGLE_GEMINI_PRO_VISION_V1_TAG,
     IDEFICS_INSTRUCT_MODEL_TAG,
     LLAVA_MODEL_TAG,
     OPEN_FLAMINGO_MODEL_TAG,
@@ -130,10 +130,10 @@ def alter_run_spec(run_spec: RunSpec) -> RunSpec:
         if ANTHROPIC_CLAUDE_3_MODEL_TAG in model.tags:
             run_spec = singleton(AnthropicClaude3RunExpander().expand(run_spec))
 
-        # Google Gemini Vision returns an empty completion or throws an error if max_tokens is 1
+        # Google Gemini Vision v1.0 returns an empty completion or throws an error if max_tokens is 1
         if (
             VISION_LANGUAGE_MODEL_TAG in model.tags
-            and GOOGLE_GEMINI_MODEL_TAG in model.tags
+            and GOOGLE_GEMINI_PRO_VISION_V1_TAG in model.tags
             and run_spec.adapter_spec.max_tokens == 1
         ):
             run_spec = singleton(IncreaseMaxTokensRunExpander(value=1).expand(run_spec))
diff --git a/src/helm/config/model_metadata.yaml b/src/helm/config/model_metadata.yaml
index 71d89aed273..9d13ab279ce 100644
--- a/src/helm/config/model_metadata.yaml
+++ b/src/helm/config/model_metadata.yaml
@@ -695,10 +695,10 @@ models:
     creator_organization_name: Google
     access: limited
     release_date: 2023-12-13
-    tags: [VISION_LANGUAGE_MODEL_TAG, GOOGLE_GEMINI_MODEL_TAG, LIMITED_FUNCTIONALITY_TEXT_MODEL_TAG]
+    tags: [VISION_LANGUAGE_MODEL_TAG, GOOGLE_GEMINI_MODEL_TAG, GOOGLE_GEMINI_PRO_VISION_V1_TAG, LIMITED_FUNCTIONALITY_TEXT_MODEL_TAG]
 
   - name: google/gemini-1.5-pro-preview-0409
-    display_name: Gemini 1.5 Pro
+    display_name: Gemini 1.5 Pro (preview - 0409)
     description: Gemini 1.5 Pro is a multimodal mixture-of-experts model capable of recalling and reasoning over fine-grained information from long contexts. ([paper](https://arxiv.org/abs/2403.05530))
     creator_organization_name: Google
     access: limited