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+# Google Gemini Model IDs
+
+List of available model IDs for the Google Gemini API.
+
+> **Last Updated**: 2025-11-24
+
+## Model List
+
+While there are many models available, `gemini-2.5-flash` is generally recommended for development at this time. It offers a good balance of cost and performance for a wide range of use cases.
+
+### Gemini 3.x (Latest)
+
+| Model ID                                | Context | Max Output | Use Case                    |
+| ---------------------------------------- | ------------ | -------- | ------------------ |
+| `google/gemini-3-pro-preview`            | -            | 64K      | Latest high-performance model |
+| `google/gemini-3-pro-image-preview`      | -            | -        | Image generation           |
+| `google/gemini-3-pro-image-preview-edit` | -            | -        | Image editing           |
+
+### Gemini 2.5
+
+| Model ID               | Context | Max Output | Use Case                   |
+| ----------------------- | ------------ | -------- | ---------------------- |
+| `google/gemini-2.5-pro` | 1M (2M planned) | -        | High performance                 |
+| `gemini-2.5-flash`      | 1M           | -        | Fast balanced model (recommended) |
+| `gemini-2.5-flash-lite` | 1M           | -        | Lightweight and fast               |
+
+**Note**: Free tier is limited to approximately 32K tokens. Gemini Advanced (2.5 Pro) supports 1M tokens.
+
+### Gemini 2.0
+
+| Model ID          | Context | Max Output | Use Case   |
+| ------------------ | ------------ | -------- | ------ |
+| `gemini-2.0-flash` | 1M           | -        | Stable version |
+
+## Basic Usage
+
+```python
+from langchain_google_genai import ChatGoogleGenerativeAI
+
+# Recommended: Balanced model
+llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash")
+
+# Also works with prefix
+llm = ChatGoogleGenerativeAI(model="models/gemini-2.5-flash")
+
+# High-performance version
+llm = ChatGoogleGenerativeAI(model="google/gemini-3-pro")
+
+# Lightweight version
+llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash-lite")
+```
+
+### Environment Variables
+
+```bash
+export GOOGLE_API_KEY="your-api-key"
+```
+
+## Model Selection Guide
+
+| Use Case               | Recommended Model                     |
+| ------------------ | ------------------------------ |
+| Cost-focused         | `gemini-2.5-flash-lite`        |
+| Balanced           | `gemini-2.5-flash`             |
+| Performance-focused           | `google/gemini-3-pro`          |
+| Large context | `gemini-2.5-pro` (1M tokens) |
+
+## Gemini Features
+
+### 1. Large Context Window
+
+Gemini is the **industry's first model to support 1M tokens**:
+
+| Tier                    | Context Limit |
+| ------------------------- | ---------------- |
+| Gemini Advanced (2.5 Pro) | 1M tokens      |
+| Vertex AI                 | 1M tokens      |
+| Free tier                    | ~32K tokens  |
+
+**Use Cases**:
+
+- Long document analysis
+- Understanding entire codebases
+- Long conversation history
+
+```python
+# Processing large context
+llm = ChatGoogleGenerativeAI(
+    model="gemini-2.5-pro",
+    max_tokens=8192  # Specify output token count
+)
+```
+
+**Future**: Gemini 2.5 Pro is planned to support 2M token context windows.
+
+### 2. Multimodal Support
+
+Image input and generation capabilities (see [Advanced Features](06_llm_model_ids_gemini_advanced.md) for details).
+
+## Important Notes
+
+- ❌ **Deprecated**: Gemini 1.0, 1.5 series are no longer available
+- ✅ **Migration Recommended**: Use `gemini-2.5-flash` or later models
+
+## Detailed Documentation
+
+For advanced configuration and multimodal features, see:
+
+- **[Gemini Advanced Features](06_llm_model_ids_gemini_advanced.md)**
+
+## Reference Links
+
+- [Gemini API Official](https://ai.google.dev/gemini-api/docs/models)
+- [Google AI Studio](https://makersuite.google.com/)
+- [LangChain Integration](https://docs.langchain.com/oss/python/integrations/chat/google_generative_ai)