Language Capabilities

Master text generation, translation, summarization, and reasoning with Gemini's state-of-the-art language model.

Key Language Features

✍️

Text Generation

Generate high-quality content for any purpose: articles, code, marketing, technical documentation, and more. Specify tone, style, and audience for optimal results.

{`curl -X POST https://api.gemini.com/v1/complete \\
  -H "Authorization: Bearer YOUR_api_key" \\
  -d '{"prompt":"Write a technical article about quantum computing for beginners"}'`}

Text Generation Tutorial ➡️

🌍

Multilingual Translation

Translate between 100+ languages with context-aware accuracy. Maintain technical terminology consistency and preserve document formatting.

{`{
  "prompt":"Translate this legal document from English to French",
  "input_text":"All parties agree to the following terms",
  "language_pair":"en-fr"
}`}

Translation Best Practices ➡️

📄

Content Summarization

Extract core insights from documents, articles, or reports. Supports technical content with proper entity recognition and citation handling.

{`{
  "prompt":"Create a 300-word summary of this research paper",
  "document_type":"academic",
  "preserve_citations":true
}`}

Summarization Guidelines ➡️

🧠

Analytical Reasoning

Get data-driven answers to complex questions. Supports multi-step reasoning across technical, scientific, and business domains.

{`{
  "query":"Compare the economic impacts of renewable energy adoption in EU vs US between 2000-2020",
  "format":"executive_summary"
}`}

Reasoning Documentation ➡️

Language API Guide

Core Endpoints

Endpoint	Method	Function
/v1/language/generate	POST	Text generation with formatting and style controls
/v1/language/translate	POST	Document translation between any language pair
/v1/language/summarize	POST	Content condensation and key point extraction
/v1/language/reason	POST	Complex data analysis and logical inference

Language Prompt Design

Clear Requirements

Specify constraints and formats explicitly: "Write a 500-word academic introduction for this paper in APA style"

{`{
  "prompt": "Write an academic introduction section for a CS paper about neural networks",
  "constraints": {
    "length": 500,
    "citation_style": "APA"
  }
}`}

Context Preservation

Include previous conversation context for consistent reasoning: "Using our earlier discussion about blockchain, explain consensus mechanisms"

{`{
  "prompt": "Given the previous explanation about blockchain ledgers, now detail the proof-of-stake consensus mechanism",
  "context_id": "academic_discussion_12345"
}`}

Style Adaptation

Specify target audience and tone: "Explain these technical results in investor-friendly terms with no jargon"

{`{
  "prompt": "Simplify this quantum physics article for a general audience",
  "style": {
    "audience": "high_school",
    "tone": "entertaining"
  }
}`}

Structured Output

Request specific formats: bullet points, code, markdown, or JSON depending on your use case

{`{
  "prompt": "List key points from Einstein's theory of relativity",
  "format": "bulleted",
  "order": "chronological"
}`}

Language Model Specifications

Model Capabilities

100+

Supported Languages

17B

Model Parameters

4096

Max Token Context

93.7%

Translation Accuracy

Supported Formats

Plain Text Markdown JSON HTML CSV