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- Google launched three Gemini Flash models focused on speed, efficiency and lower token costs.
- Gemini 3.6 Flash , is cheaper per task, and boosts coding and research accuracy.
- 3.5 Flash Cyber is government/partner-only for bug hunting; 3.5 Flash‑Lite is the fastest, cheapest for quick agent tasks.
Alphabet just dropped three new Google Gemini AI models: 3.5 Flash Cyber, 3.5 Flash-Lite, and 3.6 Flash. These models are all about making Gemini faster, cheaper, and more efficient—and come with the added bonus of saving you a little bit of cash on your token use. Neat!
Breaking down each new Gemini Model
What you need to know about Gemini 3.6 Flash, 3.5 Flash Cyber and 3.5 Flash-Lite
Gemini 3.5 Flash Cyber is built to spot and fix software bugs, but for now, only governments and trusted partners get to play with it. It’s cheaper per token than the bigger models, and could help Google catch up to Anthropic’s Mythos in the cybersecurity race.
Gemini 3.5 Flash-Lite is the fastest and cheapest of the 3.5 crew, designed to handle many quick tasks simultaneously within larger AI agent systems.
But Gemini 3.6 Flash is the most efficient model, using up to 17% fewer tokens and costing less per token than before. Google says it’s cheaper per task than GPT-5.6 Terra Max, Kimi K3, and Qwen 3.7 Max.
It’s better at coding, handling different types of data, and knowledge work than before, too. Finance teams can process documents faster, retailers can manage catalogs and customer support at lower cost, and healthcare researchers can crunch big datasets without blowing the budget. It’s more precise too, making fewer mistakes in code edits (49% vs 37% on DeepSWE) and doing better in machine learning research (63.9% vs 49.7% on MLE Bench). Basically, it’s just better at real-world coding and research tasks.
If you didn’t know, DeepSWE is a benchmark that evaluates the accuracy of AI models’ code edits for software engineering tasks, while MLE Bench tests model performance on various machine learning research activities, such as code generation and problem-solving.
So what’s next for Gemini?
Little has been officially confirmed about Google’s next flagship Gemini model.
Gemini 3.5 Pro is still in testing with partners, but should be out soon and available to all. Meanwhile, Google’s already hard at work on Gemini 4, and they sound pretty hyped about it.
We don't know much officially about Gemini 4, and it’s allegedly been delayed from internal timelines. Early leaks say it’ll be smarter, handle bigger chunks of info, and mix text, images, audio, and video all in one go. It should also be faster, more efficient, and more secure. Google is also allegedly working on a special chip to run Gemini up to 10 times more efficiently, all to make AI cheaper to use, which Gemini 4 is all-but-guaranteed to use.
