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  4. Gemini 3.6 Flash
Google
Released July 21, 2026

Gemini 3.6 Flash

Gemini 3.6 Flash by Google is a natively multimodal reasoning workhorse with 17% fewer output tokens than 3.5 Flash and a 1M token context window.

Visit GoogleAnnouncement
Inputs
Text
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemini 3.6 Flash - Token-Efficient Multimodal Workhorse

Gemini 3.6 Flash is Google's workhorse model in the Gemini 3 series, built directly on Gemini 3.5 Flash. It targets the sweet spot of efficiency and quality for scaling agentic workflows, delivering better coding, knowledge work, and multimodal performance while meaningfully improving token efficiency over its predecessor.

The defining trait is reduced token verbosity. 3.6 Flash consumes fewer output tokens than 3.5 Flash. It also takes fewer reasoning steps and tool calls to accomplish multi-step workflows.

TraitDetail
Token efficiencyFewer output tokens than 3.5 Flash
Agentic step reductionFewer reasoning steps and tool calls for multi-step workflows
Context window1M token input; 64K token output
Native multimodalityText, images, audio, and video inputs; text output
Model lineageBased directly on Gemini 3.5 Flash architecture and training

Efficiency as the Core Differentiator

Where 3.5 Flash already balanced speed and quality, 3.6 Flash sharpens the focus on token efficiency. The combination of lower output token volume and fewer intermediate steps means agents built on 3.6 Flash are more efficient to run at scale without sacrificing frontier-class quality.

Benchmark Performance

Independent evaluations · Artificial Analysis

51.6%
Intelligence
69.2%
Coding Index
40.5%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science92.8%
Humanity's Last Exam40.8%
SciCode - Scientific Coding52.7%
Long Context Reasoning79.0%
Specs
Context window
1Mtokens
Input pricing
$0.75per 1M tokens
Output pricing
$3.75per 1M tokens
Cached input
$0.15per 1M tokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateJuly 21, 2026July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window1M1M1M
Pricing (per 1M tokens)
Input Pricing
$0.75
Best Input Pricing
$5$10
Output Pricing
$3.75
Best Output Pricing
$25$50
Modalities
Inputs
text
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index51.6
63.1
Best Intelligence Index
62.1
Coding Index69.2
78.0
Best Coding Index
76.5
Agentic Index40.5
59.2
Best Agentic Index
56.6
Gemini 3.6 Flash
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

93%
Gemini 3.6 Flash
GPQA Benchmark
Score: 93%
Gemini 3.6 Flash
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

41%
Gemini 3.6 Flash
Humanity's Last Exam
Score: 41%
Gemini 3.6 Flash
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

79%
Gemini 3.6 Flash
Long Context Reasoning
Score: 79%
Gemini 3.6 Flash
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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