Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
Context
1Mtokens
About 1,498 pages of text at once
Max output
66Ktokens
About 94 pages in one answer
Intelligence
11.7/ 100
Above 11% of the catalogue
Output speed
132tokens/s
A 500-word answer in about 5.3 s
From public market statistics for this model
First token
0.9s
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 | 820,790 | IRR / 1M tokens |
|---|---|---|
| Output | 6,839,914 | IRR / 1M tokens |
| Reasoning tokens | 6,839,914 | IRR / 1M tokens |
| Cache read | 82,079 | IRR / 1M tokens |
| Cache write, 5 minutes | 227,997 | IRR / 1M tokens |
| Image input tokens | 820,790 | IRR / 1M tokens |
| Audio input | 820,790 | IRR / 1M tokens |
| Cached audio input | 82,079 | IRR / 1M tokens |
| Per web search | 38,304 | 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
196.99MIRR
6.57M IRR a day, 3,283 IRR each request
The same work on peer models
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 token0.95 s
Output speed130 tokens/s
Place in the market
By usage across the global model market.
Daily rank
Share of the day’s tokens
Among its peers
Cost of one message against intelligence; this model is highlighted.
Cost of one message, IRR (log scale)
Capabilities
- Input
- TextImageVideoFileAudio
- Output
- Text
Parameters it accepts
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_pOther benchmarks
Standard tests
- GPQA DiamondScore: 84%Tasks: 396
- τ-bench Verified AirlineScore: 78%Tasks: 100
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
https://iranrouter.com/v1google/gemini-3.5-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-3.5-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.
| Model | Against this model | ||||
|---|---|---|---|---|---|
| NVIDIA: Nemotron 3 UltraNVIDIA | 6,569 | 11.8 | 69 | 262K | 30% dearer |
| Meta: Muse Glimmer 30BMeta | 3,284 | 6.3 | 81 | 131K | 35% cheaper |
| MoonshotAI: Kimi K3Moonshot AI | 21,578 | 17.4 | 63 | 1M | 326% dearer |
| NVIDIA: Nemotron 3.5 LightningNVIDIA | 657 | 5.5 | 109 | 262K | 87% cheaper |
| MiniMax: MiniMax M3Minimax | 3,284 | 18.7 | 87 | 1M | 35% cheaper |
Technical specs
- ID
google/gemini-3.5-flash-lite- Maker
- Tokenizer
- Gemini
- Released
- Jul 21, 2026
- Added to IranRouter
- Aug 19, 2026
- Context
- 1,048,576 tokens
- Max output
- 65,536 tokens
Scores by Artificial Analysis, as of Oct 31, 2026