Gemini 3.6 Flash — Free Trial17% Fewer Output Tokens
Gemini 3.6 Flash is Google DeepMind's workhorse agentic model, released July 21, 2026. According to the Artificial Analysis Index, it uses 17% fewer output tokens than Gemini 3.5 Flash, while bringing native computer use, a 1M-token context window, and lower output pricing to coding, research, and multi-step work. Start your free trial on Felo AI to evaluate it on your work.
Free trial on Felo AI — no credit card required
Agent economics
Evaluate cost and capability
83.0%
on OSWorld-Verified
$7.50
per 1M output tokens
83.0%
OSWorld-Verified
Agentic computer use benchmark
$7.50
Output Price
$7.50 / 1M tokens, down from $9.00
58.7%
SWE-Bench Pro
Agentic coding, up from 55.1%
1M
Context Window
Input tokens per request
The Headline Isn't a Benchmark. It's the Bill.
Agent costs are shaped by both token pricing and how reliably a model completes multi-step work. Gemini 3.6 Flash lowers output pricing from $9.00 to $7.50 per million tokens and, according to the Artificial Analysis Index, uses 17% fewer output tokens than Gemini 3.5 Flash.
17% fewer output tokens
Google DeepMind reports that Gemini 3.6 Flash uses 17% fewer output tokens than Gemini 3.5 Flash, according to the Artificial Analysis Index. Actual savings depend on the task and prompt.
Stronger published agent results
Google DeepMind reports gains over Gemini 3.5 Flash on DeepSWE, OSWorld-Verified, and long-context retrieval. These are useful signals when evaluating long-running agent tasks.
Same context, same modalities
You keep the 1M-token input window and native text, image, audio, and video input, so large and mixed-media tasks can stay in a single model workflow.
What Changed in Gemini 3.6 Flash
Built for the economics of running agents at scale, with official results that make cost and capability easier to evaluate together.
Pricing and Capability Together
Gemini 3.6 Flash lowers output pricing to $7.50 per million tokens from $9.00 on Gemini 3.5 Flash, while Google DeepMind reports 17% lower output token use according to the Artificial Analysis Index. Its published benchmark gains let teams evaluate cost and capability together instead of treating price as the only efficiency signal.
Computer Use as a Native Tool
Controlling a browser or desktop is now a built-in client-side tool through the Gemini API and Gemini Enterprise — no separate model or bolt-on framework. On OSWorld-Verified, agentic computer use reaches 83.0%, up from 78.4% on Gemini 3.5 Flash.
Stronger Agentic Coding
SWE-Bench Pro reaches 58.7% and DeepSWE v1.1 reaches 49.0%, compared with 55.1% and 37.0% for Gemini 3.5 Flash in Google's published comparison. Use the model card to assess fit for your own coding workflow.
1M Token Multimodal Context
Bring large codebases, long documents, and mixed media into one request. The 1M input window with 64K output tokens scored 91.8% on GDM-MRCR v2 at 128K in Google's published comparison.
Gemini 3.6 Flash vs the Frontier
Official Google DeepMind model card results. Gemini 3.6 Flash improves on Gemini 3.5 Flash across every row below; the comparison also shows where larger frontier models remain ahead.
Benchmark
Gemini 3.6 Flash
Gemini 3.5 Flash
Claude Sonnet 5
SWE-Bench Pro
58.7%
55.1%
63.2%
DeepSWE v1.1
49.0%
37.0%
54.0%
OSWorld-Verified
83.0%
78.4%
81.2%
CharXiv Reasoning (no tools)
85.2%
84.2%
77.0%
GDM-MRCR v2 (128K)
91.8%
77.3%
71.6%
Source: Gemini 3.6 Flash Model Card — Google DeepMind, July 2026.
Read the official Google DeepMind model cardTechnical Specifications
Everything you need before integrating Gemini 3.6 Flash into your application.
Context Window
1,048,576 tokens input
65,536 tokens output
API Pricing
$1.50 / 1M input tokens
$7.50 / 1M output tokens
Output cost down from $9.00 on Gemini 3.5 Flash
Knowledge Cutoff
March 2026
Reasoning
A natively multimodal reasoning model designed for coding, computer use, and long-context tasks.
Tool Use & APIs
Function calling, structured output, and a new built-in client-side computer-use tool via the Gemini API and Gemini Enterprise.
Input Modalities
Text, images, audio, and video in; text out. Native multimodal, no preprocessing required.
Native Multimodal — One Model, Every Input Type
Gemini 3.6 Flash reads text, images, audio, and video natively. No separate pipelines, no stitching models together.
Text & PDF
Parses long documents and structured data in a single pass, handling complex tables and code without preprocessing.
Image & Charts
CharXiv Reasoning reaches 85.2% without tools in Google's published comparison, showing strong chart and visual reasoning.
Video Analysis
Analyze video alongside text and images, then ask grounded questions or request concise summaries of the material provided.
Audio Input
Understands speech, ambient sound, and multilingual conversation for transcription, translation, and voice-driven agents.
Who Uses Gemini 3.6 Flash
From individual developers to enterprise teams, Gemini 3.6 Flash fits wherever you run capable AI at volume.
Agentic Coding
Google's model card reports 58.7% on SWE-Bench Pro and 49.0% on DeepSWE v1.1. Evaluate it on your own repositories, review process, and coding-agent setup.
Document & Data Analysis
Use the 1M-token context window to work across lengthy documents, structured data, and charts in a single request when that context matters.
Design & Product Tools
Combine visual input and written instructions to extract structured information, draft alternatives, or prepare material for review.
Computer-Use Agents
With computer use as a native tool and OSWorld-Verified at 83.0%, agents can drive browsers and apps directly — booking, filling forms, and navigating UIs end to end.
Long-Horizon Workflows
For multi-step work, compare model quality, latency, and token usage on representative tasks before choosing a production setup.
High-Volume Pipelines
For high-volume document and extraction workflows, measure actual request volume and output length to estimate API costs before rollout.
Two Ways to Use Gemini 3.6 Flash on Felo
Felo AI Search
Open Felo AI Search and select the Gemini 3.6 Flash model. Ask questions, search the web with AI, and get cited answers — powered by Google's newest workhorse model.
Open Felo AI SearchCompare Answers in Felo Search
Open Felo AI Search, choose Gemini 3.6 Flash where available, and compare its answers with other supported models on your own prompts.
Open Felo AI SearchFrequently Asked Questions
Yes. Felo AI offers a free trial of Gemini 3.6 Flash. Sign up for an account to get started — no credit card required.
Start Your Gemini 3.6 Flash Free Trial
Google DeepMind's workhorse model, published July 2026. Open Felo AI and evaluate its coding, computer-use, and long-context capabilities on your own work.
Open Gemini 3.6 Flash on FeloFree trial — no credit card required