Google Releases Three Gemini Models, Begins Gemini 4 Pre-training

Google DeepMind Releases Three New Gemini Models

Google DeepMind announced three new Gemini models in a single release, targeting production AI agents with improved speed, intelligence, and cost efficiency. The trio comprises Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber.

Gemini 3.6 Flash: 65% Token Reduction

Positioned as the flagship of the release, Gemini 3.6 Flash emphasizes token efficiency. According to Artificial Analysis Index, it uses 17% fewer output tokens than its predecessor 3.5 Flash. On the DeepSWE coding benchmark, token usage drops up to 65%. The model also requires fewer reasoning steps and tool calls for multi-step tasks, translating to faster and cheaper execution.

Pricing is lower than 3.5 Flash: $1.50 per million input tokens and $7.50 per million output tokens.

Benchmark improvements over 3.5 Flash include:

DeepSWE (coding): 37% → 49%

MLE Bench (ML research): 49.7% → 63.9%

OSWorld-Verified (computer operation): 78.4% → 83%

GDPVal-AA v2 (knowledge work): 1,421 tasks completed, 70+ more than previous generation

Demos show 3.6 Flash orchestrating multi-agent workflows for complex code migration, generating 3D assets via Gemini Canvas, and acting as an AI interaction designer for immersive theme studios.

Gemini 3.5 Flash-Lite: Speed and Cost Efficiency

Flash-Lite targets high-throughput, cost-sensitive scenarios such as bulk document processing and agent search. It delivers 350 output tokens per second—the fastest in the 3.5 series—at $0.30 per million input tokens and $2.50 per million output tokens.

Despite being a lighter model, Flash-Lite outperforms the larger Gemini 3 Flash on several benchmarks:

SWE-Bench Pro: 54.2% vs 49.6%

OSWorld-Verified: 74.0% vs 65.1%

The suggested architecture pairs 3.6 Flash as the "planner" decomposing tasks with multiple Flash-Lite instances as "workers" executing in parallel. An official demo generated 25 production-ready web designs in rapid succession. Flash-Lite is already available in the Gemini App and will roll into Google Search.

Gemini 3.5 Flash Cyber: Specialized Vulnerability Detection

Flash Cyber is a dedicated cybersecurity model focused on finding and fixing vulnerabilities. Integrated into the CodeMender security agent, multiple Cyber agents collaborate to achieve state-of-the-art on the CyberGym benchmark at lower cost than larger models.

The model addresses the growing gap where AI discovers vulnerabilities faster than existing systems can patch them. Flash Cyber is not publicly accessible at this time.

Gemini 4 Pre-training Underway

Alongside the three releases, Google confirmed it has begun "the most aggressive pre-training run in its history" targeting Gemini 4. Following Google's typical six-month training cadence, Gemini 4 could arrive by year-end. The article notes that for developers paying for tokens and building agents, the immediate value lies in the cost reductions—lower token consumption, lower pricing, and lower per-agent run costs—while flagship models remain future prospects.

Reference: https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/?utm_source=tw&utm_medium=social&utm_campaign=og