GoogleFastHigh

Gemini 2.5 Flash Lite

The cheapest tier of the Gemini 2.5 family, optimized for high-volume, latency-sensitive workloads. Delivers 2.5-generation quality at a fraction of the cost, ideal for classification, extraction, and real-time chat at scale.

186/743credits

input / output · per 1M tokens

Cheapest Gemini 2.5-family tier

Optimized for high-volume, latency-sensitive workloads

1,048,576 token context window

65,536 max output tokens

Multimodal input: text, image, video, audio

Function calling, structured outputs

Run it right now

Test this model instantly in the Console Playground — no code required

Use with AI Assistant

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llms.txtllms.txt ↗

Model Specifications

Context Window

1.0M

tokens

Max Output

66K

tokens

Training Cutoff

2025-01

Compatible SDK

Google

Capabilities

Vision

Function Calling

Streaming

JSON Mode

System Prompt

Token Pricing (per 1M tokens)

Token Type	Credits	USD Equivalent
Input Tokens	186	$0.12
Output Tokens	743	$0.50

* 1,500 credits ≈ $1 (actual charges may vary based on usage)

Quick Start

curl -X POST "https://api.core.today/llm/gemini/v1beta/models/gemini-2.5-flash-lite:generateContent" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "contents": [
    {
      "parts": [
        {
          "text": "Classify the sentiment of this review as positive, negative, or neutral. Respond with just the label.\n\nReview: The product works great but the delivery was slow."
        }
      ]
    }
  ],
  "generationConfig": {
    "temperature": 0,
    "maxOutputTokens": 10
  }
}'

Parameters

Parameter	Type	Required	Default	Description
`contents`	array	Yes	-	Array of content objects with parts (Gemini native format). Supports text, image, video, and audio inputs.
`systemInstruction`	object	No	-	System instruction to steer model behavior.
`generationConfig`	object	No	-	Generation settings: temperature, topP, maxOutputTokens (max 65,536), stopSequences, responseMimeType, etc.
`tools`	array	No	-	Function declarations the model can call.

Examples

Quick Classification

Fast, low-cost text classification

curl -X POST "https://api.core.today/llm/gemini/v1beta/models/gemini-2.5-flash-lite:generateContent" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "contents": [
    {
      "parts": [
        {
          "text": "Classify the sentiment of this review as positive, negative, or neutral. Respond with just the label.\n\nReview: The product works great but the delivery was slow."
        }
      ]
    }
  ],
  "generationConfig": {
    "temperature": 0,
    "maxOutputTokens": 10
  }
}'