Google: Gemini 3.5 Flash.

See how Google: Gemini 3.5 Flash compares with other broadly useful AI models across quality, speed, price, context, and practical capabilities.

Quality

#8/67

50.2

Overall quality score

Speed

#13/67

119 t/s

Output tokens per second

Input price

#50/67

$1.50/1M

Per 1M tokens

Output price

#56/67

$9.00/1M

Per 1M tokens

Context

#10/67

1M

Content read at once

Comparison summary

Google: Gemini 3.5 Flash ranks #8 of 67 for overall quality and #13 for response speed in the current catalogue.

Its listed input price is $1.50/1M, output price is $9.00/1M, and it can work with up to 1M of context at once.

Its strongest areas in the current data are coding, everyday help, math and logic.

Practical specifications

Company
Google
Reasoning
Yes
Open weights
No
Input
Text, Image, Audio, Video
Output
Text
Context window
1M

Google: Gemini 3.5 Flash technical benchmarks.

Named evaluation records for technical comparison. Results retain their original benchmark names and sources.

BenchmarkAreaGemini 3.5 FlashSource
Intelligence IndexoverallQuality50.2OpenRouter / artificial-analysis
Coding Indexcoding70.1OpenRouter / artificial-analysis
Agentic Indexagentic37.4OpenRouter / artificial-analysis
GPQAGPQA Diamond92.2OpenRouter model benchmarks
Humanity's Last ExamHLE41OpenRouter model benchmarks
IFBenchIFBench76.3OpenRouter model benchmarks
τ²-Bench Telecomτ²-Bench Telecom95.3OpenRouter model benchmarks
AA-LCRAA-LCR69.3OpenRouter model benchmarks
GDPval-AAGDPval-AA42.2OpenRouter model benchmarks
CritPtCritPt13.1OpenRouter model benchmarks
SciCodeSciCode53.1OpenRouter model benchmarks
Terminal-Bench HardTerminal-Bench Hard40.9OpenRouter model benchmarks
AA-Omniscience AccuracyAA-Omniscience Accuracy51.9OpenRouter model benchmarks
AA-Omniscience Non-Hallucination RateAA-Omniscience Non-Hallucination Rate39.3OpenRouter model benchmarks

Quality benchmarks

See where Google: Gemini 3.5 Flash stands.

The darker bar marks Google: Gemini 3.5 Flash; the lighter bars provide context from other leading models.

Highlights

Quality

Overall capability · Higher is better

Speed

Output tokens per second · Higher is better

Input price

USD per 1M tokens · Lower is better