Google launches new Gemini model trio, teases Gemini 4

2026-07-22 · Source: Constellation Research · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Novice, quick

Summary

Google launched Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber on July 21, 2026, also teasing Gemini 4. This release emphasizes efficiency and competitive pricing, driven by market competition. Gemini 3.6 Flash is designed for token efficiency in multi-step workflows. It costs \$1.50 per 1 million input tokens and \$7.50 per 1 million output tokens. Gemini 3.5 Flash-Lite targets low-latency, high-throughput tasks like agentic search. It is priced at 30 cents per 1 million input tokens and \$2.50 per 1 million output tokens. The specialized Gemini 3.5 Flash Cyber finds and fixes security vulnerabilities, powering Google's CodeMender agent. Google confirmed Gemini 3.5 Pro is testing with partners and announced an ambitious pre-training run for Gemini 4.

Key takeaway

For Directors of AI/ML evaluating LLM deployments, Google's new Gemini Flash models offer targeted solutions for efficiency and cost. You should assess Gemini 3.6 Flash for token-efficient multi-step workflows. Consider Gemini 3.5 Flash-Lite for low-latency agentic search and document processing. Integrate Gemini 3.5 Flash Cyber for vulnerability detection and patching into your security operations. These specialized, competitively priced models could optimize your operational costs and performance.

Key insights

Google's new Gemini models prioritize efficiency and cost, with specialized versions for specific tasks and a tease for Gemini 4.

Principles

• Efficiency and cost drive LLM development.
• Specialized models enhance task performance.
• Market competition influences pricing strategies.

In practice

• Use Flash-Lite for agentic search.
• Deploy Flash Cyber for vulnerability patching.
• Consider 3.6 Flash for multi-step workflows.

Topics

• Gemini Models
• Large Language Models
• AI Efficiency
• Model Pricing
• Cybersecurity AI
• CodeMender

Best for: CTO, VP of Engineering/Data, AI Engineer, Tech Journalist, Director of AI/ML, AI Security Engineer

Related on AIssential

• Google Releases Three New Gemini A.I. Models — Google's new Gemini Flash models offer specialized AI capabilities balancing efficiency and quality across diverse applications.
• Gemini 3.5 Flash In Arena! POWERFUL, Cheap, & Fast NEW AI Model! (Fully Tested) — Google is significantly upgrading its Gemini Flash models, enhancing performance and preparing for broader enterprise deployment.
• Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way — Google's new Flash models prioritize token efficiency and speed for AI agents, significantly reducing operational costs and improving performance.
• Google releases three new Gemini models — but no 3.5 Pro — Google prioritizes efficiency and specialized AI models while facing delays in its flagship Pro series amidst intense market competition.
• How Google’s New Gemini Flash Models Compare to its Rivals — Google's new Gemini Flash models deliver competitive speed, cost-efficiency, and specialized capabilities for high-volume AI agent deployment.
• Google Introduces Gemini 3.6 to Remind You It Has an AI Model, Too - Gizmodo — Google's new Gemini 3.6 Flash offers token efficiency but lags competitors in benchmarks, while new 3.5 models target cost and cybersecurity.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Constellation Research.