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Google: Gemini 3.1 Flash Lite Preview

Source description (English)

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across...

View source on OpenRouter
Overview

Model specifications

Context
1,048,576 tokens
Maximum output
65,536 tokens
Architecture
text+image+file+audio+video->text
Tokenizer
Gemini
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.25
per 1M tokens
Output
$1.5
per 1M tokens
Cache read
$0.025
per 1M tokens
Cache write
$0.0833
per 1M tokens
Image input
$0.25
per 1M tokens
Audio input
$0.5
per 1M tokens
Input Audio Cache
$0.05
per 1M tokens
Web search
$14
per 1,000 calls
API

Model configuration

Reasoning

Reasoning required
No
Default parameters
minimal
Capabilities
high, medium, low, minimal, none
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-3.1-flash-lite-preview","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
textimagevideofileaudio
Output
text
Reasoning

Yes · high · medium · low · minimal · none

API

Supported API parameters

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_p
Available providers

3 providers

Checked: October 16, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Google AI Studio

Not provided
Context
1.0M
Maximum output
66K
Input
$0.125
Output
$0.75
Cache read
$0.0125
Cache write
$0.0417

Google AI Studio

Not provided
Context
1.0M
Maximum output
66K
Input
$0.25
Output
$1.5
Cache read
$0.025
Cache write
$0.0833

Google AI Studio

Not provided
Context
1.0M
Maximum output
66K
Input
$0.45
Output
$2.7
Cache read
$0.045
Cache write
$0.15
google

4 models

All models
google logogoogle

Google: Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Context
1.0M
Input
audio · file · image · text · video
Output
text
Input: $2Output: $10per 1M tokens
View model details →
google logogoogle

Google: Gemini 4 Argon (batch)

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Context
1.0M
Input
audio · file · image · text · video
Output
text
Input: $1Output: $5per 1M tokens
View model details →
google logogoogle

Google: Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

Context
66K
Input
image · text
Output
image · text
Input: $1.5 per 1M tokensOutput: $7.5 per 1M tokens
View model details →
google logogoogle

Google: Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio...

Context
98K
Input
audio
Output
transcription
Input: $2 per 1M tokensOutput: $12 per 1M tokens
View model details →