# Gemini 2.0 Flash Lite - Core.Today AI API

> Ultra-lightweight version of Gemini 2.0 Flash optimized for maximum speed and minimal cost. Perfect for high-volume, latency-sensitive applications.

- **Provider**: Google
- **Model ID**: gemini-2.0-flash-lite
- **Category**: LLM
- **Credits**: 0.5 per 1K tokens (avg)
- **Speed**: Fast
- **Quality**: Standard

## Model Specifications
- **Context Window**: 1.0M tokens
- **Max Output**: 8K tokens
- **Training Cutoff**: August 2024
- **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**: 139 credits ($0.09)
- **Output Tokens**: 557 credits ($0.37)

## Features
- Ultra-fast inference
- Minimal cost per request
- 1,048,576 token context window
- 8,192 max output tokens
- Multimodal input: audio, image, video, text
- Function calling, structured outputs, caching, Batch API
- Deprecated — migrate to Gemini 3.1 Flash-Lite

## Use Cases
- High-volume chatbots
- Real-time classification
- Content filtering
- Simple data extraction
- Batch processing

## 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: 8,192. Context window (input + output): 1,048,576 tokens.

## Examples

### Quick Classification
Fast text classification
```json
{
  "model": "gemini-2.0-flash-lite",
  "messages": [
    {
      "role": "system",
      "content": "Classify the sentiment of the text as positive, negative, or neutral. Respond with just the label."
    },
    {
      "role": "user",
      "content": "The product works great but the delivery was slow."
    }
  ],
  "max_tokens": 10,
  "temperature": 0
}
```

## 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 — migrate to Gemini 3.1 Flash-Lite for better performance
- Max output tokens: 8,192 — much lower than 3.x Flash-Lite (65,536)
- Context window 1,048,576 tokens (input + output)
- Best for simple, high-volume tasks
- Use temperature 0 for deterministic classification
- Ideal for real-time applications requiring low latency

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