geminiavailablesupports_audio_inputsupports_function_callingsupports_native_streamingsupports_parallel_function_callingsupports_pdf_inputsupports_prompt_cachingsupports_reasoningsupports_response_schemasupports_system_messagessupports_tool_choicesupports_url_contextsupports_video_inputsupports_visionsupports_web_search

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GoogleAvailable on AvalAI

Gemini 3.5 Flash Lite API on AvalAI

gemini-3.5-flash-lite

Gemini 3.5 Flash Lite is an AI model from Google that is available through AvalAI's OpenAI-compatible API.

Open dashboardCompare

Price display scale

Input price$0.30 / 1M tokens

Output price$2.50 / 1M tokens

Context window1,048,576 tokens

Maximum output65,536 tokens

Release date2026-07-21

Use Gemini 3.5 Flash Lite with the AvalAI API

Keep the API key in an environment variable and send requests from server-side code.

Bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{"model": "gemini-3.5-flash-lite", "messages": [{"role": "user", "content": "Give a concise, practical solution."}]}'

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AVALAI_API_KEY"],
    base_url="https://api.avalai.ir/v1",
)

response = client.chat.completions.create(
    model="gemini-3.5-flash-lite",
    messages=[{"role": "user", "content": "Give a concise, practical solution."}],
)

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

JavaScript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.chat.completions.create({
  model: "gemini-3.5-flash-lite",
  messages: [{ role: "user", content: "Give a concise, practical solution." }],
});

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

Create an API keyRead the quickstart

Capabilities and endpoints

• Audio input
• Function calling
• Streaming
• Parallel function calling
• PDF input
• Prompt caching
• Reasoning
• Structured output
• System messages
• Tool choice
• URL context
• Video input
• Vision
• Web search

Endpoints

• /v1/chat/completions
• /v1/completions
• /v1/batch

Third-party model parameters

Third-party reference data does not change AvalAI endpoint support; use the capabilities and endpoints above.

• include_reasoning
• max_tokens
• reasoning
• reasoning_effort
• response_format
• seed
• stop
• structured_outputs
• temperature
• tool_choice
• tools
• top_p

Supplemental reasoning effort values

high, low, medium, minimal

Gemini 3.5 Flash Lite rate limits

Tier	RPM	TPM
Basic	3	40,000
Tier 1	50	500,000
Tier 2	500	1,000,000
Tier 3	1,000	3,000,000
Tier 4	3,500	5,000,000
Tier 5	25,000	20,000,000

AvalAI and reference marketplace pricing

Token role	AvalAI final price0% platform fee	OpenRouter cost breakdown
		Model rate	Credit purchase fee	Effective OpenRouter cost after fee
Input price	$0.30 / 1M tokens	$0.30 / 1M tokens	5.5%	$0.32 / 1M tokens
Output price	$2.50 / 1M tokens	$2.50 / 1M tokens	5.5%	$2.64 / 1M tokens

AvalAI pricing is final with a 0% platform fee. The effective OpenRouter prices add its 5.5% credit purchase fee to the highest reported model rate, including long-context tiers. OpenRouter charges a 5.5% fee when credits are purchased ($0.80 minimum), so small credit purchases can have a higher effective cost. OpenRouter FAQ

Peer benchmark performance

Independent, sourced scores with no composite rating.

Artificial Analysis Agentic Index

16.1index

Score	Peer rank	Direction	Source and date
16.1 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Artificial Analysis Coding Index

49.3index

Score	Peer rank	Direction	Source and date
49.3 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Artificial Analysis Intelligence Index

27.6index

Score	Peer rank	Direction	Source and date
27.6 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Third-party model data

Source: OpenRouter

Independent sources supplement this context; AvalAI remains authoritative for pricing, availability, and endpoint support.

Reviewed snapshot 2026-09-05

Provider count

—

Context window range

1,048,576

Maximum output range

65,536

OpenRouter model input rate range

$0.3 / 1M

OpenRouter model output rate range

$2.5 / 1M

OpenRouter fee

5.5% credit purchase fee · OpenRouter fee details

Effective input price range after fee

$0.3165 / 1M

Effective output price range after fee

$2.6375 / 1M

Related models

• Gemini 3.5 Flash
• Gemini 3.8 Flash
• Gemini 3.7 Flash
• Gemini 3.6 Flash

Frequently asked questions

What is the Gemini 3.5 Flash Lite API on AvalAI?

Create an AvalAI API key and send the model ID gemini-3.5-flash-lite to one of the supported endpoints shown on this page.

How much does the Gemini 3.5 Flash Lite API cost on AvalAI?

The Gemini 3.5 Flash Lite API on AvalAI costs $0.30 per 1M input tokens and $2.50 per 1M output tokens.

What is the token cost for Gemini 3.5 Flash Lite?

Current AvalAI pricing for Gemini 3.5 Flash Lite is $0.30 / 1M tokens for input and $2.50 / 1M tokens for output.

What is the Gemini 3.5 Flash Lite context window?

The recorded maximum input context for Gemini 3.5 Flash Lite is 1,048,576 tokens.

What are the rate limits for Gemini 3.5 Flash Lite on AvalAI?

On tier 5, Gemini 3.5 Flash Lite on AvalAI supports up to 25,000 requests per minute and 20,000,000 tokens per minute.

What features does Gemini 3.5 Flash Lite support on AvalAI?

Gemini 3.5 Flash Lite on AvalAI supports Audio input, Function calling, Streaming, Parallel function calling, PDF input, Prompt caching, Reasoning, Structured output, System messages, Tool choice, URL context, Video input, Vision, Web search.

What account tier is required to use Gemini 3.5 Flash Lite on AvalAI?

Calling Gemini 3.5 Flash Lite on AvalAI requires the Basic tier (tier 0) or higher.

Third-party data and freshness

• Pricing, availability, endpoints, and rate limits: AvalAI structured data (authoritative)
• OpenRouter marketplace · Last checked: 2026-09-05