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...
At a glance
- Context window
- 1Mtokens
- Max output
- 66Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
Benchmarks
- Intelligence index
- 16
- Coding index
- 35
- Agentic index
- 3
Design Arena
| Category | Elo | Win rate |
|---|---|---|
| models · asciiart | 1,185 | 50.7 |
| models · website | 1,095 | 36.6 |
| models · codecategories | 1,087 | 36.4 |
| models · uicomponent | 1,086 | 37.7 |
| models · svg | 1,077 | 42.5 |
| models · 3d | 1,076 | 38.7 |
| models · dataviz | 1,061 | 33.3 |
| models · gamedev | 1,052 | 33.7 |
Source: Artificial Analysis, Design Arena · as of Sep 16, 2026
Performance
Reference uptime
100%
Median latency
531 ms
Throughput
94.8 tok/s
IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.
Popularity
- Current rank
- —
- Rank change, 7 days
- —
Daily tokens · 90 days
23.1B
Ranked by daily token volume across the global model market; the figure above the chart is the daily average.
Supported parameters
Parameters this model accepts; anything else is ignored.
Quick start
from openai import OpenAI
client = OpenAI(
api_key="ir-...",
base_url="https://iranrouter.com/v1",
)
resp = client.chat.completions.create(
model="google/gemini-3.1-flash-lite-preview",
messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)Only base_url and the key change; the rest of your code stays as it is.