Google: Gemini 3.1 Flash Lite Preview

by Google

google/gemini-3.1-flash-lite-preview
Unavailable

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...

Context

1Mtokens

About 1,498 pages of text at once

Max output

66Ktokens

About 94 pages in one answer

Intelligence

—

No score published for this model.

Output speed

131tokens/s

A 500-word answer in about 5.4 s

From public market statistics for this model

First token

0.7s

Reasoning models start later

From public market statistics for this model

Health, 30 days

50.00%

0 of 30 days without a fault

IranRouter’s measurements

Price & cost

Every rate in Rial. A request pays only for the tokens it actually uses.

Input685,248IRR / 1M tokens
Output4,111,490IRR / 1M tokens
Reasoning tokens4,111,490IRR / 1M tokens
Cache read68,525IRR / 1M tokens
Cache write, 5 minutes228,416IRR / 1M tokens
Image input tokens685,248IRR / 1M tokens
Audio input1,370,497IRR / 1M tokens
Cached audio input137,050IRR / 1M tokens
Per web search38,374IRR

With prompt caching, the fixed part of your prompt is billed at the cache-read rate on later requests.

What would this model cost you a month?

Monthly cost

135.68MIRR

4.52M IRR a day, 2,261 IRR each request

30 days at today’s rate.

Rial price over 90 days

It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.

InputOutput

Performance, 30 days

Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.

Daily health50.00%

Time to first token0.69 s

Output speed120 tokens/s

Place in the market

By usage across the global model market.

This model isn’t ranked yet.

Capabilities

Image inputYes
Audio inputYes
Tool callingYes
JSON outputYes
ReasoningReasoning levels: high, medium, low, minimal, none
Web searchNo
Prompt cacheYes
Makes imagesNo
Open weightsNo
On the free planNo
Input
TextImageVideoFileAudio
Output
Text

Parameters it accepts

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_p

Other benchmarks

Coding index35
Agentic index2

Design contests

  • ASCII artElo: 1,164Win rate: 51%
  • WebsitesElo: 1,081Win rate: 37%
  • Code (overall)Elo: 1,070Win rate: 37%
  • UI componentsElo: 1,066Win rate: 38%
4 moreShow less
  • SVGElo: 1,049Win rate: 43%
  • 3DElo: 1,045Win rate: 39%
  • Data vizElo: 1,045Win rate: 33%
  • Game devElo: 1,029Win rate: 34%

Start in a minute

The official OpenAI and Anthropic SDKs; only the address and the key change.

Base URLhttps://iranrouter.com/v1
Model IDgoogle/gemini-3.1-flash-lite-preview
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://iranrouter.com/v1",
    api_key="ir-...",
)

r = client.chat.completions.create(
    model="google/gemini-3.1-flash-lite-preview",
    messages=[{"role": "user", "content": "Hello, introduce yourself"}],
)
print(r.choices[0].message.content)
The full guide in the docs: keys, streaming and errors

Peer models

Its family and models with a close score; the last column compares one message’s cost with this model.

No peer models found.

Technical specs

ID
google/gemini-3.1-flash-lite-preview
Maker
Google
Tokenizer
Gemini
Released
Mar 3, 2026
Added to IranRouter
Aug 25, 2026
Context
1,048,576 tokens
Max output
65,536 tokens

Scores by Artificial Analysis, Design Arena, as of Oct 31, 2026

Google: Gemini 3.1 Flash Lite PreviewOne message about 3,430 IRRStart with this model