diff --git a/docs/edge/en/concepts/files.mdx b/docs/edge/en/concepts/files.mdx
index af86baabe2..b052bdaed8 100644
--- a/docs/edge/en/concepts/files.mdx
+++ b/docs/edge/en/concepts/files.mdx
@@ -174,7 +174,7 @@ Different providers support different file types. CrewAI automatically formats f
 | **OpenAI** (completions API) | ✓ | | | | |
 | **OpenAI** (responses API) | ✓ | ✓ | ✓ | | |
 | **Anthropic** (claude-3.x) | ✓ | ✓ | | | |
-| **Google Gemini** (gemini-1.5, 2.0, 2.5) | ✓ | ✓ | ✓ | ✓ | ✓ |
+| **Google Gemini** (gemini-2.5, 3.x) | ✓ | ✓ | ✓ | ✓ | ✓ |
 | **AWS Bedrock** (claude-3) | ✓ | ✓ | | | |
 | **Azure OpenAI** (gpt-4o) | ✓ | | ✓ | | |
 
diff --git a/docs/edge/en/concepts/llms.mdx b/docs/edge/en/concepts/llms.mdx
index 02fb973140..9d674e3941 100644
--- a/docs/edge/en/concepts/llms.mdx
+++ b/docs/edge/en/concepts/llms.mdx
@@ -79,7 +79,7 @@ There are different places in CrewAI code where you can specify the model to use
     from crewai import LLM
 
     # Basic configuration
-    llm = LLM(model="provider/model-id")  # e.g. gemini/gemini-3.6-flash
+    llm = LLM(model="provider/model-id")  # e.g. gemini/gemini-3.7-flash
 
     # Advanced configuration with detailed parameters
     llm = LLM(
@@ -481,7 +481,7 @@ In this section, you'll find detailed examples that help you select, configure,
     from crewai import LLM
 
     llm = LLM(
-        model="gemini/gemini-3.6-flash",
+        model="gemini/gemini-3.7-flash",
         api_key="your-api-key",  # Or set GOOGLE_API_KEY/GEMINI_API_KEY
     )
     ```
@@ -491,7 +491,7 @@ In this section, you'll find detailed examples that help you select, configure,
     from crewai import LLM
 
     llm = LLM(
-        model="gemini/gemini-3.6-flash",
+        model="gemini/gemini-3.7-flash",
         api_key="your-api-key",
         max_output_tokens=8192,
         stop_sequences=["END", "STOP"],
@@ -518,7 +518,7 @@ In this section, you'll find detailed examples that help you select, configure,
     from crewai import LLM
 
     llm = LLM(
-        model="gemini/gemini-3.6-flash"
+        model="gemini/gemini-3.7-flash"
     )
     ```
 
@@ -535,7 +535,7 @@ In this section, you'll find detailed examples that help you select, configure,
     from crewai import LLM
 
     llm = LLM(
-        model="gemini/gemini-3.6-flash",
+        model="gemini/gemini-3.7-flash",
         project="your-gcp-project-id",
         location="us-central1"  # GCP region
     )
@@ -581,7 +581,7 @@ In this section, you'll find detailed examples that help you select, configure,
     from crewai import LLM
 
     llm = LLM(
-        model="gemini/gemini-3.6-flash"
+        model="gemini/gemini-3.7-flash"
     )
     ```
 
diff --git a/docs/edge/en/concepts/memory.mdx b/docs/edge/en/concepts/memory.mdx
index 349546d1c0..d23b478429 100644
--- a/docs/edge/en/concepts/memory.mdx
+++ b/docs/edge/en/concepts/memory.mdx
@@ -740,7 +740,7 @@ memory = Memory(llm="anthropic/claude-3-haiku-20240307")
 memory = Memory(llm="ollama/llama3.2")
 
 # Use Google Gemini
-memory = Memory(llm="gemini/gemini-2.0-flash")
+memory = Memory(llm="gemini/gemini-3.7-flash")
 
 # Pass a pre-configured LLM instance with custom settings
 llm = LLM(model="gpt-4o", temperature=0)
diff --git a/docs/edge/en/guides/crews/first-crew.mdx b/docs/edge/en/guides/crews/first-crew.mdx
index 9665a293aa..d2aeca846b 100644
--- a/docs/edge/en/guides/crews/first-crew.mdx
+++ b/docs/edge/en/guides/crews/first-crew.mdx
@@ -77,7 +77,7 @@ Replace the generated `agents/researcher.jsonc` file and add `agents/analyst.jso
 }
 ```
 
-Replace `provider/model-id` with the model you use, for example `openai/gpt-4o`, `anthropic/claude-sonnet-4-6`, or `gemini/gemini-2.0-flash-001`.
+Replace `provider/model-id` with the model you use, for example `openai/gpt-4o`, `anthropic/claude-sonnet-4-6`, or `gemini/gemini-3.7-flash`.
 
 ## Step 3: Define Tasks and Crew Settings
 
diff --git a/docs/edge/en/guides/flows/first-flow.mdx b/docs/edge/en/guides/flows/first-flow.mdx
index d26a1eb2d5..702fca2bfd 100644
--- a/docs/edge/en/guides/flows/first-flow.mdx
+++ b/docs/edge/en/guides/flows/first-flow.mdx
@@ -136,7 +136,7 @@ Now, let's configure the content writer crew with JSONC. We'll set up two specia
 }
 ```
 
-Replace `provider/model-id` with the model you use, for example `openai/gpt-4o`, `gemini/gemini-2.0-flash-001`, or `anthropic/claude-sonnet-4-6`.
+Replace `provider/model-id` with the model you use, for example `openai/gpt-4o`, `gemini/gemini-3.7-flash`, or `anthropic/claude-sonnet-4-6`.
 
 3. Create `src/guide_creator_flow/crews/content_crew/crew.jsonc`:
 
@@ -483,7 +483,7 @@ Flows allow you to make direct calls to language models when you need simple, st
 
 ```python
 llm = LLM(
-    model="model-id-here",  # gpt-4o, gemini-2.0-flash, anthropic/claude...
+    model="model-id-here",  # gpt-4o, gemini-3.7-flash, anthropic/claude...
     response_format=GuideOutline
 )
 response = llm.call(messages=messages)
diff --git a/docs/edge/en/learn/litellm-removal-guide.mdx b/docs/edge/en/learn/litellm-removal-guide.mdx
index a4fe1de1e8..099ba684c0 100644
--- a/docs/edge/en/learn/litellm-removal-guide.mdx
+++ b/docs/edge/en/learn/litellm-removal-guide.mdx
@@ -176,7 +176,7 @@ grep -r "llm:" --include="*.yaml" .
     # llm = LLM(model="mistral/mistral-large-latest")
 
     # After (Native):
-    llm = LLM(model="gemini/gemini-2.0-flash")
+    llm = LLM(model="gemini/gemini-3.7-flash")
     ```
 
     ```bash
@@ -399,7 +399,7 @@ llm = LLM(model="anthropic/claude-haiku-3-5")    # Fast & affordable
 # Together AI → OpenAI or Gemini
 # llm = LLM(model="together_ai/meta-llama/Meta-Llama-3.1-70B")
 llm = LLM(model="openai/gpt-4o")                 # High quality
-llm = LLM(model="gemini/gemini-2.0-flash")       # Fast & capable
+llm = LLM(model="gemini/gemini-3.7-flash")       # Fast & capable
 
 # Mistral → Anthropic or OpenAI
 # llm = LLM(model="mistral/mistral-large-latest")
diff --git a/docs/edge/en/learn/llm-connections.mdx b/docs/edge/en/learn/llm-connections.mdx
index 2b7a5d278b..b24995c015 100644
--- a/docs/edge/en/learn/llm-connections.mdx
+++ b/docs/edge/en/learn/llm-connections.mdx
@@ -141,7 +141,7 @@ You can connect to OpenAI-compatible LLMs using either environment variables or
         # Example using Gemini's OpenAI-compatible API.
         os.environ["OPENAI_API_KEY"] = "your-gemini-key"  # Should start with AIza...
         os.environ["OPENAI_API_BASE"] = "https://generativelanguage.googleapis.com/v1beta/openai/"
-        os.environ["OPENAI_MODEL_NAME"] = "openai/gemini-2.0-flash"  # Add your Gemini model here, under openai/
+        os.environ["OPENAI_MODEL_NAME"] = "openai/gemini-3.7-flash"  # Add your Gemini model here, under openai/
         ```
         </CodeGroup>
     </Tab>
@@ -159,7 +159,7 @@ You can connect to OpenAI-compatible LLMs using either environment variables or
             ```python Google
             # Example using Gemini's OpenAI-compatible API
             llm = LLM(
-                model="openai/gemini-2.0-flash",
+                model="openai/gemini-3.7-flash",
                 base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
                 api_key="your-gemini-key",  # Should start with AIza...
             )
diff --git a/docs/edge/en/learn/llm-selection-guide.mdx b/docs/edge/en/learn/llm-selection-guide.mdx
index 30a85462b8..1c66ff0d39 100644
--- a/docs/edge/en/learn/llm-selection-guide.mdx
+++ b/docs/edge/en/learn/llm-selection-guide.mdx
@@ -147,7 +147,7 @@ Planning agents benefit from reasoning models that can handle complex strategic
 from crewai import Agent, Task, Crew, LLM
 
 # High-capability reasoning model for strategic planning
-manager_llm = LLM(model="gemini-2.5-flash-preview-05-20", temperature=0.1)
+manager_llm = LLM(model="gemini-3.7-flash")
 
 # Creative model for content generation
 content_llm = LLM(model="claude-3-5-sonnet-20241022", temperature=0.7)
@@ -412,7 +412,7 @@ Rather than repeating the strategic framework, here's a tactical checklist for i
     # Manager or coordination agents
     manager_agent = Agent(
         role="Project Manager",
-        llm=LLM(model="gemini-2.5-flash-preview-05-20"),  # Premium for coordination
+        llm=LLM(model="gemini-3.7-flash"),  # Premium for coordination
         # ... rest of config
     )
 
diff --git a/lib/cli/src/crewai_cli/constants.py b/lib/cli/src/crewai_cli/constants.py
index c587147b3f..e7ab664bb2 100644
--- a/lib/cli/src/crewai_cli/constants.py
+++ b/lib/cli/src/crewai_cli/constants.py
@@ -177,20 +177,17 @@
         "claude-haiku-4-5-20251001",
     ],
     "gemini": [
-        "gemini/gemini-3-pro-preview",
-        "gemini/gemini-1.5-flash",
-        "gemini/gemini-1.5-pro",
-        "gemini/gemini-2.0-flash-lite-001",
-        "gemini/gemini-2.0-flash-001",
-        "gemini/gemini-2.0-flash-thinking-exp-01-21",
-        "gemini/gemini-2.5-flash-preview-04-17",
-        "gemini/gemini-2.5-pro-exp-03-25",
-        "gemini/gemini-gemma-2-9b-it",
-        "gemini/gemini-gemma-2-27b-it",
-        "gemini/gemma-3-1b-it",
-        "gemini/gemma-3-4b-it",
-        "gemini/gemma-3-12b-it",
-        "gemini/gemma-3-27b-it",
+        # https://ai.google.dev/gemini-api/docs/models
+        "gemini/gemini-3.7-flash",
+        "gemini/gemini-3.6-flash",
+        "gemini/gemini-3.1-pro-preview",
+        "gemini/gemini-3.5-flash-lite",
+        "gemini/gemini-3.1-flash-lite",
+        "gemini/gemini-2.5-flash",
+        "gemini/gemini-2.5-pro",
+        # https://ai.google.dev/gemma/docs/core/gemma_on_gemini_api
+        "gemma-4-31b-it",
+        "gemma-4-26b-a4b-it",
     ],
     "nvidia_nim": [
         "nvidia_nim/nvidia/mistral-nemo-minitron-8b-8k-instruct",
diff --git a/lib/crewai/src/crewai/llms/constants.py b/lib/crewai/src/crewai/llms/constants.py
index 20697f6a53..41aec7074b 100644
--- a/lib/crewai/src/crewai/llms/constants.py
+++ b/lib/crewai/src/crewai/llms/constants.py
@@ -213,8 +213,19 @@
 ]
 
 GeminiModels: TypeAlias = Literal[
+    "gemini-3.7-flash",
+    "gemini-3.6-flash",
+    "gemini-3.5-flash",
+    "gemini-3.1-pro-preview",
     "gemini-3-pro-preview",
     "gemini-3-flash-preview",
+    "gemini-3.5-flash-lite",
+    "gemini-3.1-flash-lite",
+    "gemini-3-pro-image",
+    "gemini-3.1-flash-image",
+    "gemini-3.1-flash-lite-image",
+    "gemini-3.1-flash-live-preview",
+    "gemini-3.1-flash-tts-preview",
     "gemini-2.5-pro",
     "gemini-2.5-pro-preview-03-25",
     "gemini-2.5-pro-preview-05-06",
@@ -259,6 +270,8 @@
     "gemini-robotics-er-1.5-preview",
     "gemini-gemma-2-27b-it",
     "gemini-gemma-2-9b-it",
+    "gemma-4-31b-it",
+    "gemma-4-26b-a4b-it",
     "gemma-3-1b-it",
     "gemma-3-4b-it",
     "gemma-3-12b-it",
@@ -268,8 +281,18 @@
     "learnlm-2.0-flash-experimental",
 ]
 GEMINI_MODELS: list[GeminiModels] = [
+    "gemini-3.7-flash",
+    "gemini-3.6-flash",
+    "gemini-3.5-flash",
+    "gemini-3.1-pro-preview",
     "gemini-3-pro-preview",
     "gemini-3-flash-preview",
+    "gemini-3.5-flash-lite",
+    "gemini-3.1-flash-lite",
+    "gemini-3-pro-image",
+    "gemini-3.1-flash-image",
+    "gemini-3.1-flash-live-preview",
+    "gemini-3.1-flash-tts-preview",
     "gemini-2.5-pro",
     "gemini-2.5-pro-preview-03-25",
     "gemini-2.5-pro-preview-05-06",
@@ -314,6 +337,8 @@
     "gemini-robotics-er-1.5-preview",
     "gemini-gemma-2-27b-it",
     "gemini-gemma-2-9b-it",
+    "gemma-4-31b-it",
+    "gemma-4-26b-a4b-it",
     "gemma-3-1b-it",
     "gemma-3-4b-it",
     "gemma-3-12b-it",