Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...
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
136tokens/s
A 500-word answer in about 5.2 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.
| Input | 685,248 | IRR / 1M tokens |
|---|---|---|
| Output | 4,111,490 | IRR / 1M tokens |
| Reasoning tokens | 4,111,490 | IRR / 1M tokens |
| Cache read | 68,525 | IRR / 1M tokens |
| Cache write, 5 minutes | 228,416 | IRR / 1M tokens |
| Image input tokens | 685,248 | IRR / 1M tokens |
| Audio input | 1,370,497 | IRR / 1M tokens |
| Cached audio input | 137,050 | IRR / 1M tokens |
| Per web search | 38,374 | IRR |
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.
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 token0.82 s
Output speed125 tokens/s
Place in the market
By usage across the global model market.
Daily rank#36
Share of the day’s tokens0.3%
Capabilities
- Input
- TextImageVideoFileAudio
- Output
- Text
Parameters it accepts
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_pOther benchmarks
Standard tests
- GPQA DiamondScore: 82%Tasks: 396
- τ-bench Verified AirlineScore: 71%Tasks: 100
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
https://iranrouter.com/v1google/gemini-3.1-flash-lite# 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", messages=[{"role": "user", "content": "Hello, introduce yourself"}], ) print(r.choices[0].message.content)
Peer models
Its family and models with a close score; the last column compares one message’s cost with this model.
Technical specs
- ID
google/gemini-3.1-flash-lite- Maker
- Tokenizer
- Gemini
- Released
- May 7, 2026
- Added to IranRouter
- Aug 25, 2026
- Context
- 1,048,576 tokens
- Max output
- 65,536 tokens
as of Oct 31, 2026
