# Gemini 3 Pro Preview - Core.Today AI API

> Google's most powerful Gemini model in preview. Features breakthrough reasoning, coding, and multimodal capabilities with the largest context window.

- **Provider**: Google
- **Model ID**: gemini-3-pro-preview
- **Category**: LLM
- **Credits**: 4 per 1K tokens (avg)
- **Speed**: Medium
- **Quality**: Ultra

## Model Specifications
- **Context Window**: 1.0M tokens
- **Max Output**: 66K tokens
- **Training Cutoff**: January 2025
- **Supported Formats**: text, json, markdown
- **Compatible SDK**: OpenAI, Google AI

### Capabilities
- Vision (image input)
- Function Calling
- Streaming
- JSON Mode
- System Prompt

### Token Pricing (per 1M tokens)
- **Input Tokens**: 3,716 credits ($2.48)
- **Output Tokens**: 22,296 credits ($14.86)

## Features
- 1,048,576 token context window
- 65,536 max output tokens
- Multimodal input: text, image, video, audio, PDF
- Advanced reasoning and coding
- Thinking, structured outputs, function calling
- Search grounding, code execution, caching, Batch API
- Deprecated — migrate to gemini-3.1-pro-preview (shut down 2026-03-09)

## Use Cases
- Complex research and analysis
- Large codebase understanding
- Multi-document reasoning
- Scientific problem solving
- Enterprise applications

## API Endpoint

Base URL: https://api.core.today
Endpoint: POST /llm/gemini/v1beta/openai/chat/completions

## Authentication
Header: Authorization: Bearer YOUR_API_KEY

Note: LLM endpoints use OpenAI-compatible format with Authorization Bearer token.

## Input Parameters

### Required
- **messages**: array - Array of message objects (OpenAI format)

### Optional
- **temperature**: float (default: 1) - Sampling temperature (0-2)
- **max_tokens**: integer - Maximum output tokens. Max: 65,536. Context window (input + output): 1,048,576 tokens.

## Examples

### Complex Analysis
Leverage Gemini 3 Pro for deep analysis
```json
{
  "model": "gemini-3-pro-preview",
  "messages": [
    {
      "role": "user",
      "content": "Analyze the architectural differences between transformer and state-space models, and discuss their implications for future AI system design."
    }
  ],
  "max_tokens": 4096,
  "temperature": 0.7
}
```

## Response Format
```json
{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Response text here"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 100,
    "completion_tokens": 50,
    "total_tokens": 150
  }
}
```

## Tips
- Deprecated — shut down 2026-03-09. Migrate to gemini-3.1-pro-preview
- Max output tokens: 65,536 — set max_tokens up to this limit
- Context window 1,048,576 tokens (not 2M; updated to match Google docs)
- Use lower temperature for analytical and coding tasks

## Documentation
https://ai.google.dev/gemini-api/docs