> ## Documentation Index
> Fetch the complete documentation index at: https://api-docs.ollang.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Gemini API for Translation

**Gemini API** by Google provides access to multimodal and text models for translation and localization. The lineup evolves frequently; **Gemini 3.x** models (for example **Gemini 3.1 Pro** for demanding reasoning and long-context work) represent the current generation for many new projects, alongside widely used **Gemini 2.5** and **Gemini 1.5** (Pro, Flash) options for different speed, cost, and context tradeoffs.

Always confirm **model IDs, context windows, and availability** in **[Google’s Gemini API documentation](https://ai.google.dev/gemini-api/docs)** — naming and defaults are updated as new releases ship.

## Key Features

* **Multiple model options**: Choose among Gemini 3.x, 2.5, and 1.5 families (Pro, Flash, and variants) based on latency, cost, multimodal needs, and context length.
* **High accuracy**: Models tuned for nuanced, context-aware generation across many languages.
* **Multilingual support**: Broad language coverage for global products and content.
* **Contextual understanding**: Very large context windows on several tiers for long documents and multi-turn workflows.
* **Real-time and batch**: Suitable for live assistance and offline or batch localization pipelines.

## Advanced Technologies

* **Gemini 3.x**: Strong reasoning and multimodal understanding for complex technical, legal, or academic translation when your stack targets the newest generation.
* **Gemini 2.5 / 1.5**: Established options with proven context and speed characteristics; Flash variants favor throughput and cost.
* **Deep learning**: Transformer-based architectures with multimodal inputs where the API supports them.
* **Multimodal capabilities**: Text from images and mixed inputs on supported models for document and UI localization.

## Use Cases

1. **Document translation**: Long-form and structured documents with formatting and terminology constraints.
2. **Website and app localization**: Scalable translation with glossary-aware workflows where you combine Gemini with your own tooling.
3. **Customer support**: Multilingual tickets, chat, and knowledge-base assistance.
4. **Large document processing**: Models with very large context windows for books, research, and long technical specs in one or chained requests.
5. **Complex content**: Reasoning-heavy or domain-specific material when you select a capability-first model tier.

For more details and to access the API, visit [Gemini API](https://ai.google.dev/overview/gemini-api).