Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
At a glance
- Context window
- 1Mtokens
- Max output
- 66Ktokens
- Knowledge to
- 2025-01-01
- Released
- 2026
Capabilities
Benchmarks
- Intelligence index
- 33
- Coding index
- 70
- Agentic index
- 27
Design Arena
| Category | Elo | Win rate |
|---|---|---|
| models · gamedev | 1,287 | 54.1 |
| models · uicomponent | 1,287 | 55.4 |
| models · svg | 1,281 | 60.5 |
| models · codecategories | 1,278 | 54.7 |
| models · website | 1,275 | 54 |
| models · asciiart | 1,273 | 59.5 |
| models · 3d | 1,270 | 56.8 |
| models · dataviz | 1,250 | 53.7 |
Standard evaluations
| Benchmark | Score | Tasks |
|---|---|---|
| gpqa_diamond | 0.93 | 396 |
| tau_bench_verified_airline | 0.75 | 100 |
Source: Artificial Analysis, Design Arena · as of Sep 16, 2026
Performance
Reference uptime
100%
Median latency
1,596 ms
Throughput
109.7 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
46.4B
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-3.5-flash",
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.