Google DeepMind (Gemini) / gemini-3-5-flash-lite

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite stands out for Lower-cost Gemini 3.5 reasoning and Speed- and cost-oriented model tier. It is best suited to High-volume multimodal chat and cost-sensitive agent work and image questions and answers.

Chat & customer supportCode assistantLong documentsImage understandingAutomation & agents

Context

token

Input

$0.27

/ 1M tokens

Output

$2.25

/ 1M tokens

Quality

—

No score

Overview

What this model is good for

Model capabilities

Multimodal

Supports mixed text-image input and can use a 1M-token context window for longer material.

Tool calling

Can call tools or functions, so product flows can connect model output to backend actions.

Streaming

Supports streamed responses for chat, assistants, and interfaces that need visible incremental output.

Prompt cache

Supports prompt caching patterns for repeated context and longer production conversations.

Structured output

Can return machine-readable structures for extraction, automation, and application logic.

Model maker

Model maker and access

Google DeepMind (Gemini)

Called through SeaLink's unified account, balance, and OpenAI-compatible API.

Protocol

OpenAI-compatible Chat Completions

Base URL: https://api.sealink.io/v1

Pricing

Pricing and usage estimates

cache_read · meter: cache_read$0.027/ 1M tokens

Tokens · meter: input_token$0.27/ 1M tokens

Tokens · meter: output_token$2.25/ 1M tokens

Tokens · meter: reasoning_token$2.25/ 1M tokens

Light production run

100K input + 25K output

$0.0833

Higher-volume run

1M input + 250K output

$0.8325

The final charge follows generated usage and the applicable selector, such as resolution, duration, input type, or provider unit.

API

Copy into your code

model

gemini-3-5-flash-lite

base_url

https://api.sealink.io/v1

Auth

Bearer $SEALINK_API_KEY

cURL

curl https://api.sealink.io/v1/chat/completions \
  -H "Authorization: Bearer $SEALINK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3-5-flash-lite",
    "messages": [{"role": "user", "content": "Hello."}]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.sealink.io/v1", api_key="<your-sealink-key>")

resp = client.chat.completions.create(
    model="gemini-3-5-flash-lite",
    messages=[{"role": "user", "content": "Hello."}],
)
print(resp.choices[0].message.content)

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.sealink.io/v1",
  apiKey: process.env.SEALINK_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "gemini-3-5-flash-lite",
  messages: [{ role: "user", content: "Hello." }],
});
console.log(resp.choices[0].message.content);

curl https://api.sealink.io/v1/chat/completions \

-H "Authorization: Bearer $SEALINK_API_KEY" \

-H "Content-Type: application/json" \

-d '{

"model": "gemini-3-5-flash-lite",

"messages": [{"role": "user", "content": "Hello."}]

from openai import OpenAI

client = OpenAI(base_url="https://api.sealink.io/v1", api_key="<your-sealink-key>")

resp = client.chat.completions.create(

model="gemini-3-5-flash-lite",

messages=[{"role": "user", "content": "Hello."}],

)

print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({

baseURL: "https://api.sealink.io/v1",

apiKey: process.env.SEALINK_API_KEY,

});

const resp = await client.chat.completions.create({

model: "gemini-3-5-flash-lite",

messages: [{ role: "user", content: "Hello." }],

});

console.log(resp.choices[0].message.content);