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Our workhorse model that reduces output token usage by 17% compared to 3.5 Flash, according to Artificial Analysis Index.

Intelligence in a Flash

Get advanced reasoning at Flash-level latency and scale.

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Token Efficiency

Get better quality in coding, knowledge work, and multimodal tasks whilst reducing token usage.

A minimalist lightning bolt icon inside a white rounded square on a soft blue glowing background, representing Gemini Flash.A minimalist white outline of a lightning bolt inside a dark rounded square, centered on a soft blue glowing background, representing Gemini Flash.

Fast and smart

Speed and scale don’t have to come at the cost of intelligence.

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Master complexity

Deep reasoning across long horizons and iterative coding tasks.

A minimalist outline of a hand pointing and an eye inside a white rounded square on a soft blue glowing background, representing UI control.A minimalist white outline of a hand pointing and an eye inside a dark rounded square on a soft blue glowing background, representing UI control.

Truly multimodal

Multimodal understanding across text, audio, images, code, and video.

Hands-on

Here are a few ways you can use 3.6 Flash’s improved coding and knowledge work capabilities.

3.6 Flash vs. 3.5 Flash token efficiency SxS (API)

3.6 Flash shows better token efficiency and reduced verbosity than 3.5 Flash in multi-step workflows, as seen in the OSWorld verified task

Financial data analysis (AIS)

3.6 Flash, using Managed Agents on AIS, can help parse through and analyze financial data and transcripts more efficiently and accurately than 3.5 Flash

Code Migration Side by Side (AGY)

3.6 Flash executes code migrations, using multi-agent orchestration on AGY, with lower latency and higher quality than 3.5 Flash

Custom Creative Tool (Gemini App)

3.6 Flash helps develop a photographic texture extractor for 3D workflows, using canvas

Showcase

“When evaluating models for Figma Make, we look for a balance of quality, speed, and cost. Gemini 3.6 Flash hits the sweet spot, offering a much faster way to explore and iterate on prototypes while upholding the quality of designs.”

Matt Colyer, Director of Product, Figma

“Gemini 3.6 Flash excels at document drafting and review in practice areas like capital markets and corporate M&A. Compared to its predecessor, Gemini 3.6 Flash showed strong gains in performance on our benchmarks and was notably more efficient, completing tasks 12% faster on average.”

Niko Grupen, Head of Applied Research, Harvey

“Gemini 3.6 Flash was the best model we tested for evidence finding in citation-heavy financial research, outperforming the frontier baselines in our internal evaluations. It surfaced the exact proof points analysts need from dense materials like transaction documents, covenant language, guidance, and operating metrics. For Hebbia users, that means faster answers backed by evidence they can trust.”

Joe Renner, Evaluations Lead, Applied Research, Hebbia

“Gemini 3.6 Flash delivers coding and reasoning quality close to Gemini Pro, while preserving the speed and cost profile that make Flash ideal for real-time developer workflows. The new model also improves low reasoning coding performance by 10–20% compared to the previous Flash generation.”

Nick Frolov, Head of Product, Junie, JetBrains

Performance

3.6 Flash is more token efficient than 3.5 Flash and a step-up in coding and knowledge work.

BenchmarkNotesGemini 3.6 FlashGemini 3.5 FlashGemini 3.1 ProGPT-5.6 LunaGrok 4.5Claude Sonnet 5
Input price $/1M tokens, no caching$1.50$1.50$2.00$1.00$2.00$3.00 $2.00 (temp discount)
Output price $/1M tokens$7.50$9.00$12.00$6.00$6.00$15.00 $10.00 (temp discount)
SWE-Bench Pro (Public) Diverse agentic coding tasks58.7%55.1%54.2%62.7%64.7%63.2%
DeepSWE v1.1 Long-horizon software engineering49%37%12%67%54%54%
Terminal-bench 2.1 Agentic terminal codingTerminus-2 harness78.0%76.2%73.8%84.7%83.3%80.4%
MLE-Bench Machine Learning Engineering63.9%49.7%42.6%47.6%43.2%66.9%
OSWorld-Verified Agentic computer use83.0%78.4%76.2%72.6%—81.2%
GDPVal-AA v2 Knowledge workElo14211349965158415351607
CharXiv Reasoning Information synthesis from complex chartsNo tools85.2%84.2%83.3%82.7%81.6%77.0%
With tools89.4%84.9%83.2%——88.3%
GDM-MRCR v2 (8-needle) Long context performance128k (average)91.8%77.3%84.9%74.8%81.4%71.6%
1M (pointwise)54.0%26.6%26.3%———

For details on our evaluation methodology please see deepmind.google/models/evals-methodology/gemini-3-6-flash

Model information

Name
3.6 Flash
Status
General availability
Input
  • Text
  • Image
  • Video
  • Audio
  • PDF
Output
  • Text
Input tokens
1M
Output tokens
64k
Tool use
  • Function calling
  • Search as a tool
  • Computer use
Best for
  • Everyday tasks
  • Agentic coding
  • Advanced reasoning
  • Multimodal understanding
  • Long context understanding
Availability
  • Gemini App
  • Gemini Enterprise App
  • Gemini Enterprise Agent Platform
  • Google AI Studio
  • Gemini API
  • Google Antigravity
Documentation
View developer docs
Model card
View model card