Gemini 4 Argon
Total Context
1M
Max Output
65.5K
Released
N/A
gemini-3.6-flashGemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and less hedging, while reducing token use and the number of model calls needed to complete a task.
Context Window
1M tokens
Maximum Output
65.5K tokens
Release Date
Jul 21, 2026
Modalities
| Input Price | Output Price | Cache Read |
|---|---|---|
| $1.5/M | $7.5/M | $0.15/M |
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
Gemini 3.6 Flash combines fast agentic execution, coding capability, spatial reasoning and million-token multimodal context for iterative real-world tasks.
The model is optimized for short agent loops that plan, act and revise results across complex iterative tasks.
Strong code generation and spatial reasoning support implementation cycles involving software structure, interfaces and visual layouts.
It accepts text, images, video, audio and PDF input within a 1,048,576-token window and produces text results.
Gemini 3.6 Flash is suited to rapid coding cycles, interface-oriented agents and large-scale multimedia analysis.
Generate, test and revise code through short feedback loops for feature development, debugging and prototyping.
Interpret screenshots and spatial layouts, plan interface interactions and revise actions during multi-step computer workflows.
Process long collections of video, audio, images, PDFs and text to extract information, create summaries and answer targeted questions.
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Gemini 3.6 Flash (high)
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 50.1 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 69.2 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 92.8% |
| HLE | Broad expert-level exam set | 38.3% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 52.7% |
| Instruction Following & Agent Tasks | ||
| AA-LCR | Long-context reasoning | 69.7% |
Metrics sourced from Artificial Analysis
Useful questions and answers about Gemini 3.6 Flash on TokenHub.
gemini-3.6-flash is Google’s stable Gemini 3.6 Flash model, optimized for fast, cost-efficient real-world work. It accepts text, images, video, audio, and PDFs, and produces text.
It is well suited to code generation, rapid agentic loops, multimodal and spatial reasoning, and analysis of long documents or mixed media.
It supports thinking, function calling, structured outputs, search grounding, code execution, and preview computer use. Google documents a 1,048,576-token input limit and a 65,536-token output limit.
The model returns text and does not generate images or audio; Google also lists no Live API support. Computer use is still in preview, and important outputs should be reviewed before production use.
Select the exact model ID gemini-3.6-flash in your TokenHub API request and use your TokenHub endpoint and credentials. Test supported parameters, tools, and streaming behavior before production rollout.
Google lists gemini-3.6-flash as generally available at $1.50 per million input tokens and $7.50 per million output tokens. TokenHub pricing, routing, and regional availability may differ, so check the current dashboard.
Choose it when you need a balance of speed and intelligence for agentic, coding, or multimodal workloads. Consider a Flash-Lite model for the lowest-cost high-volume tasks, or a Pro-tier model when maximum reasoning depth matters more than latency and cost.
Use one API key to access Gemini 3.6 Flash and more AI models through TokenHub.
Gemini 3.6 Flash Media and Demos
Selected verified public posts, videos, and discussions about Gemini 3.6 Flash.
X (Twitter)
Google DeepMind ·
Gemini 3.6 Flash builds directly on feedback from 3.5 Flash. Watch how it compares on quality and token usage ↓ https://t.co/UsVzHv0VOQ
https://pbs.twimg.com/amplify_video_thumb/2079614096748564480/img/pE7EXoMbaLW-5bI1.jpgView originalGoogle DeepMind ·
Gemini 3.6 Flash and 3.5 Flash-Lite are rolling out now in the @GeminiApp. Developers can start building via the API in @GoogleAIStudio and @AndroidStudio. Gemini 3.5 Flash Cyber will be exclusively available via CodeMender soon as part of a limited-access pilot program. Find https://t.co/tullYV1Mtd
https://pbs.twimg.com/media/HNwoi28W8AE97NR.jpgView originalGoogle DeepMind ·
We’re rolling out three new models to make AI agents faster, smarter, and cheaper at scale: 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks https://t.co/SP1eU3FCW5
https://pbs.twimg.com/tweet_video_thumb/HNwoY8MW8AAubRO.jpgView originalReddit
already used gemini 3.6 flash for more than 25 hours here is my opinion.
View originalGemini 3.6 flash is actually nice
Alive-Rough1432 ·
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r/google_antigravity - Gemini 3.6 flash is actually nice (https://preview.redd.it/gemini-3-6-flash-is-actually-nice-v0-q5ud9rj8cneh1.png?width=2238&format=png&auto=webp&s=c7f8877bce8db219daf8eeec383441a4fa44c00e) I worked half the day with it: its even faster than gemini flash 3.5 like making plans and finished in less than 2 mins thats just crazy (opus takes the same only analyzing my prompt) it does less loops and takes less tokens to finish my tasks it actually does not feel the dumbest model ever like flash 3.5. Less halucinations. Is definitly good enough for being my daily driver from now on Unfortunate even after taking less tokens and 20% cheaper, google still having the worst qu0ta yet in the market lol.
Honestly Impressed by Gemini 3.6 flash
Straight_Okra7129 ·
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Honestly Impressed by Gemini flash 3.6 Today for the first time i've tested the 3.6 flash on a couple of projects regarding my algorithmic trading activity. Here are my 2 cents: Never seen such a speed and accuracy from a light model 2.tested as technical brainstorming and fast prototyping tool and accuracy seems improved very much 3.i've uploaded a couple of huge scripts and in a blink of an eye it got the essence of them by providing improvements and suggestions on design flaws, all pertinent. My first impression is very positive. Honestly I am impressed. What do y think?
YouTube
Google 放大招!Gemini 3.6 Flash 免费发布,能否超越 Claude Opus 4.8?实测告诉你答案! | 零度解说
零度解说
View originalGoogle Just Dropped Gemini 3.6 Flash and 3.5 Flash-Lite
BrenTech
View originalI Tested Gemini 3.6 Flash vs Claude Sonnet 5
Sai Santosh Kumar (SSK)
View original