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Google: Gemini 3.5 Flash

by Google

google/gemini-3.5-flash
Unavailable

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...

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

132tokens/s

A 500-word answer in about 5.3 s

From public market statistics for this model

First token

1.6s

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.

Input4,111,490IRR / 1M tokens
Output24,668,937IRR / 1M tokens
Reasoning tokens24,668,937IRR / 1M tokens
Cache read411,149IRR / 1M tokens
Cache write, 5 minutes228,416IRR / 1M tokens
Image input tokens4,111,490IRR / 1M tokens
Audio input8,222,979IRR / 1M tokens
Cached audio input822,298IRR / 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

814.07MIRR

27.14M IRR a day, 14K 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 token1.73 s

Output speed122 tokens/s

Place in the market

By usage across the global model market.

Daily rank

Share of the day’s tokens

Capabilities

Image inputYes
Audio inputYes
Tool callingYes
JSON outputYes
ReasoningReasoning levels: high, medium, low, minimal
Web searchNo
Prompt cacheYes
Makes imagesNo
Open weightsNo
On the free planNo
Input
TextImageVideoFileAudio
Output
Text

Parameters it accepts

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p

Other benchmarks

Coding index70
Agentic index26

Design contests

  • WebsitesElo: 1,267Win rate: 54%
  • UI componentsElo: 1,266Win rate: 54%
  • Code (overall)Elo: 1,265Win rate: 54%
  • Game devElo: 1,262Win rate: 53%
4 moreShow less
  • SVGElo: 1,253Win rate: 58%
  • ASCII artElo: 1,251Win rate: 59%
  • 3DElo: 1,241Win rate: 56%
  • Data vizElo: 1,239Win rate: 53%

Standard tests

  • GPQA DiamondScore: 92%Tasks: 396
  • τ-bench Verified AirlineScore: 73%Tasks: 100

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-3.5-flash
API keyCreate one in the dashboard
# 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",
    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-3.5-flash
Maker
Google
Tokenizer
Gemini
Knowledge up to
January 2025
Released
May 19, 2026
Added to IranRouter
Aug 19, 2026
Context
1,048,576 tokens
Max output
65,536 tokens

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

Google: Gemini 3.5 FlashOne message about 20,560 IRRStart with this model