GoogleFastStandard

Gemini 3.5 Flash Lite

Google's lightweight Gemini 3.5 model (released 2026-07-21) for high-throughput, budget-conscious workloads. $0.30/$2.50 per million tokens with cached input at $0.03/M. Successor to Gemini 3.1 Flash Lite, which Google retires on 2027-05-07.

557/4,645credits

input / output · per 1M tokens

Lightweight, low-latency Gemini 3.5 tier

1,048,576 token context window

65,536 max output tokens

Multimodal input: text, image, audio, video, PDF

Cached input pricing (90% discount)

Function calling, structured outputs, thinking, search grounding

Run it right now

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

Use with AI Assistant

Copy usage instructions for Claude, ChatGPT, or other AI

llms.txtllms.txt ↗

Model Specifications

Context Window

1.0M

tokens

Max Output

66K

tokens

Training Cutoff

January 2025

Compatible SDK

OpenAI, Google AI

Capabilities

Vision

Function Calling

Streaming

JSON Mode

System Prompt

Token Pricing (per 1M tokens)

Token Type	Credits	USD Equivalent
Input Tokens	557	$0.37
Output Tokens	4,645	$3.10
Cached Tokens	55.74	$0.04

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

Quick Start

curl -X POST "https://api.core.today/llm/gemini/v1beta/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gemini-3.5-flash-lite",
  "messages": [
    {
      "role": "system",
      "content": "Classify the following text as: spam, not_spam. Respond with only the label."
    },
    {
      "role": "user",
      "content": "Congratulations! You have been selected for a special prize. Click here to claim now!"
    }
  ],
  "max_tokens": 50,
  "temperature": 0
}'

Parameters

Parameter	Type	Required	Default	Description
`messages`	array	Yes	-	Array of message objects (OpenAI format). Supports text, image, audio, video, and PDF inputs.
`temperature`	float	No	1	Sampling temperature (0-2). Lower values produce more deterministic outputs.
`max_tokens`	integer	No	-	Maximum output tokens. Max: 65,536. Context window (input + output): 1,048,576 tokens.
`response_format`	object	No	-	Output format constraint. Use `{ type: 'json_object' }` for structured JSON output.
`stream`	boolean	No	false	Enable Server-Sent Events streaming.

Examples

Quick Classification

Lightweight text classification with Flash Lite

curl -X POST "https://api.core.today/llm/gemini/v1beta/openai/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gemini-3.5-flash-lite",
  "messages": [
    {
      "role": "system",
      "content": "Classify the following text as: spam, not_spam. Respond with only the label."
    },
    {
      "role": "user",
      "content": "Congratulations! You have been selected for a special prize. Click here to claim now!"
    }
  ],
  "max_tokens": 50,
  "temperature": 0
}'

Tips & Best Practices

1$0.30/$2.50 per 1M tokens - output costs more than 3.1 Flash Lite ($1.50), so compare on your real output length

2Gemini 3.1 Flash Lite is retired on 2027-05-07 - migrate to this model before then

3Use cached input tokens ($0.03/M, 90% off) for repeated context

4Ideal for high-volume classification and routing tasks

5Priority inference (serviceTier: priority) bills token charges at 1.8x; flex and batch discounts are not passed through and settle at the standard rate