Google
Released May 19, 2026Cutoff January 2025

Gemini 3.5 Flash

Google Gemini 3.5 Flash is a Google model for agentic workflows, sub-agent deployment, multi-step tasks, rapid coding loops, and long-horizon work.

Inputs
Text
Image
Video
File
Audio
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemini 3.5 Flash - agentic Flash model

Gemini 3.5 Flash is built for fast, agentic work. It combines frontier-level intelligence with Flash-level speed and scale, and it is positioned for real-world tasks.

Distinctive traitWhat is documented
Agentic workflow focusDesigned for the agentic era, with sub-agent deployment, multi-step workflows, and long-horizon tasks.
Rapid coding loopsDescribed as effective for rapid agentic loops, including complex coding cycles and iterations.
Multimodal inputSupports text, image, video, audio, and PDF inputs.
Tool useSupports function calling, structured outputs, search as a tool, code execution, file search, computer use, and more.

What it does

The model is presented as a Flash model that keeps speed and scale while handling agentic work. Its documented pattern is to support long-horizon execution and multi-step workflows rather than only short one-shot replies.

Model shape

It is documented with a 1M-token input limit, 64k output tokens, and support across Gemini App, Gemini API, Gemini Enterprise, Gemini Enterprise Agent Platform, Google AI Mode, Google AI Studio, Google Antigravity, and Android Studio.

Benchmark Performance

Independent evaluations · Artificial Analysis

32.6%
Intelligence
70.1%
Coding Index
26.0%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science92.2%
Humanity's Last Exam42.7%
SciCode - Scientific Coding53.9%
Instruction Following76.3%
Long Context Reasoning73.3%
τ²-Bench - Agentic Tasks95.3%
TerminalBench - System Control40.9%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateMay 19, 2026September 22, 2026September 28, 2026
Knowledge CutoffJan 2025-Jun 2026
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$1.50
Best Input Pricing
$4$2
Output Pricing
$9
Best Output Pricing
$20$10
Modalities
Inputs
textimagevideofileaudio
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index32.6
57.6
Best Intelligence Index
56.0
Coding Index70.1--
Agentic Index26.0--
Gemini 3.5 Flash
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

43%
Gemini 3.5 Flash
Humanity's Last Exam
Score: 43%
Gemini 3.5 Flash
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

73%
Gemini 3.5 Flash
Long Context Reasoning
Score: 73%
Gemini 3.5 Flash
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

54%
Gemini 3.5 Flash
SciCode Benchmark
Score: 54%
Gemini 3.5 Flash
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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