Gemini 3.6 Flash

Name: Gemini 3.6 Flash
Brand: google
Price: 1.50 USD
Availability: OnlineOnly

Gemini:

3.6 Flash

Google's Flash workhorse at the 3.6 mark, for coding, agent loops and web and app development. Built on 3.5 Flash, aiming at cleaner output with fewer unnecessary edits and less hedging, on roughly 17% fewer output tokens. Text, images, audio, video and PDFs across 1M tokens, up to 64K out.

OpenRouter Docs API Blog Changelog

Provider: Google AI
Released: 2026-07-21
Size: LARGE
Free API (OpenRouter): No
Per 1M tokens: $1.5 in · $7.5 out
Rival’s tab: $2.85; 58/58 receipts survived

Free API availability

No free endpoint for Gemini 3.6 Flash was found in Rival’s OpenRouter listings. Other providers or chat apps may have separate free offers.

Provider data: 9 Sep 2026OpenRouter usage limits

View API options

Benchmarks

SWE-bench Pro

58.7%

source ↗

Terminal-Bench 2.1

78.0%

source ↗

DeepSWE v1.1

49.0%

source ↗

MLE-Bench

63.9%

source ↗

OSWorld-Verified

83.0%

source ↗

CharXiv

85.2%

source ↗

GDM-MRCR v2 (128k)

91.8%

source ↗

Get API accessProvider and language code samples

2 hostsInOutContextUptime

Google Vertex AI$0.38 in$1.88 out1M89% up Google AI Studio$0.75 in$3.75 out1M99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.

Provider

fromimport openai  OpenAI

client = OpenAI(
"https://openrouter.ai/api/v1"    base_url=,
"$OPENROUTER_API_KEY"    api_key=,
)

response = client.chat.completions.create(
"google/gemini-3.6-flash"    model=,
"role""user""content""Hello!"    messages=[{: , : }],
)
print(response.choices[0].message.content)

Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.

Deep analysisPsychometrics, taste index, writing DNA

Writing DNA

Stylometric Fingerprint

Based on 27 text responses

Tick = global average

Vocabulary Diversity60%

Unique words vs. total words. Higher = richer vocabulary.

Sentence Length19.4 words

Average words per sentence.

Hedging0.13

"Might", "perhaps", "arguably" per 100 words.

Bold Formatting5.4

**Bold** markers per 1,000 characters.

List Usage2.7

Bullet and numbered list items per 1,000 characters.

Section Structure0.99

Markdown headings per 1,000 characters.

Emoji Usage0.04

Emoji per 1,000 characters.

Transitions0.07

"However", "moreover", "furthermore" per 100 words.

Opening Habits

Consistency

80%

Across 27 responses

Favorites

Movie

Blade Runner

19827.9

Album

OK Computer

Radiohead

Book

Dune

Frank Herbert

City

Tokyo

Japan

Game

Outer Wilds

Indie, Adventure4.4

Model Responses

53 outputs · $2.84 tracked across 53 receipts

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Benchmarks

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Stylometric Fingerprint

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Model Responses

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