Models
Gemini 3.5 Flash-Lite
Model id: gemini/models/gemini-3.5-flash-lite
- Cost
- Fast
- Vision
- Multimodal
- Audio
- Long context
- Translation
Google’s cost-efficient Gemini 3.5 Flash-Lite tier for high-volume agentic and translation work.
Best for
high-throughput chat, routing, and simple processing at low cost.
- Provider
- Google Gemini
- Context window
- 1,048,576
- Release date
- 2026-07-21
- Reasoning effort
- minimallowmediumhighDefault: medium
Pricing
Input
$0.463 / 1M
Output
$3.858 / 1M
Cached input
$0.0463 / 1M
Web search
Per successful search
$0.0216 / search
Billed on top of tokens when the model uses web search.
Amounts in Canadian dollars, converted at the Bank of Canada indicative rate (2026-07-31).
Performance
Reading
Last 7 days
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Activity
Tokens
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Top 5 tools · last 7 days
Not enough data to display tool activity.
Availability
Availability (%)
Last 7 days
- Operational probes
- 100% over 7 days
- Samples
- 8,607
Quick start
Call the API with a tonia_ key and the exact model id below.
curl
curl https://pass.tonia.ca:8443/v1/chat/completions \
-H "Authorization: Bearer $TONIA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini/models/gemini-3.5-flash-lite",
"messages": [{"role":"user","content":"Bonjour"}]
}'Python (OpenAI SDK)
import os
from openai import OpenAI
client = OpenAI(
base_url="https://pass.tonia.ca:8443/v1",
api_key=os.environ["TONIA_API_KEY"],
)
response = client.chat.completions.create(
model="gemini/models/gemini-3.5-flash-lite",
messages=[{"role": "user", "content": "Bonjour"}],
)TypeScript (OpenAI SDK)
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://pass.tonia.ca:8443/v1",
apiKey: process.env.TONIA_API_KEY,
});
const response = await client.chat.completions.create({
model: "gemini/models/gemini-3.5-flash-lite",
messages: [{ role: "user", content: "Bonjour" }],
});On the OpenAI-compatible bridge (Cursor, Cline, and similar tools), Gemini models use the gemini/models/ prefix (for example gemini/models/gemini-3.6-flash).