Google has expanded its family of Gemini AI models with the launch of Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. While the new releases focus on faster performance, lower costs and specialized cybersecurity capabilities, one major model remains absent—Gemini 3.5 Pro.
The long-awaited flagship AI model, expected to deliver Google’s most advanced reasoning and coding capabilities, is still listed as “coming soon,” leaving developers and enterprises waiting for the company’s next high-end offering.
Google Introduces Three New Gemini AI Models
Google’s latest update strengthens its AI portfolio with models designed for different use cases.
- Gemini 3.6 Flash is built for general-purpose AI tasks, coding and multimodal applications.
- Gemini 3.5 Flash-Lite focuses on speed and affordability for large-scale workloads.
- Gemini 3.5 Flash Cyber is a specialized model created for cybersecurity and vulnerability detection.
While Gemini 3.6 Flash and Flash-Lite are now available for production use, Flash Cyber will initially be released through a limited-access program.
Gemini 3.6 Flash: Faster Performance at a Lower Cost
Google positions Gemini 3.6 Flash as its new all-round AI model capable of handling:
- Software development and coding
- Knowledge-based tasks
- Multimodal AI applications
- AI agents and workflow automation
According to Google, the model is more efficient than its predecessor, using 17% fewer output tokens in independent testing. It also completes complex, multi-step tasks with fewer reasoning steps and reduced tool usage, helping improve speed and efficiency.
Gemini 3.6 Flash Pricing
Google has kept input pricing unchanged while lowering output costs:
- Input: $1.50 per million tokens
- Output: $7.50 per million tokens
Previously, Gemini 3.5 Flash charged $9 per million output tokens, making the new version more cost-effective for developers.
Like its predecessor, Gemini 3.6 Flash supports:
- A 1-million-token context window
- Up to 64,000 output tokens
Gemini 3.5 Flash-Lite Is Built for High-Volume AI Workloads
For businesses requiring fast processing and lower operational costs, Google has introduced Gemini 3.5 Flash-Lite.
The model is optimized for tasks such as:
- Document analysis
- Large-scale data extraction
- AI-powered search
- Agent-based automation
Google says Flash-Lite can generate approximately 350 output tokens per second, making it the fastest and most affordable model in the Gemini 3.5 lineup.
Gemini 3.5 Flash-Lite Pricing
- Input: $0.30 per million tokens
- Output: $2.50 per million tokens
Its low pricing makes it an attractive option for organizations processing large volumes of AI requests.
Gemini 3.5 Flash Cyber Focuses on Cybersecurity
Google has also launched Gemini 3.5 Flash Cyber, a specialized AI model designed specifically for cybersecurity professionals.
The model has been fine-tuned to:
- Detect software vulnerabilities
- Validate security flaws
- Recommend and generate code patches
- Analyze multiple code paths efficiently
Google plans to integrate Flash Cyber with its CodeMender security platform, enabling developers and organizations to identify vulnerabilities more effectively.
Why Flash Cyber Has Limited Availability
Because advanced cybersecurity AI can potentially be misused, Google is taking a cautious rollout approach.
Initially, Flash Cyber will only be available to:
- Government agencies
- Trusted enterprise partners
- Organizations participating in Google’s limited-access pilot
The company intends to expand availability gradually after further testing through the CodeMender platform.
Where Is Gemini 3.5 Pro?
Despite launching three new models, Google has yet to release Gemini 3.5 Pro, which is expected to become the company’s flagship AI model for advanced reasoning, complex coding and enterprise-level applications.
Google had previously indicated that Gemini 3.5 Pro would launch after Gemini 3.5 Flash. However, recent reports suggest development was delayed because the model reportedly did not meet Google’s internal performance expectations, particularly in coding benchmarks.
Although Google says the model is currently being tested with select partners, it has not announced an official release timeline.
Why the Delay Matters
The absence of Gemini 3.5 Pro leaves a noticeable gap in Google’s AI portfolio.
While the newly launched Flash models improve speed, affordability and production efficiency, they are designed primarily for lightweight and high-volume workloads. Developers looking for Google’s most capable reasoning and coding model must continue relying on the older Gemini 3.1 Pro until its successor arrives.
For now, Google’s latest release strengthens its lower-cost AI offerings but stops short of introducing the next-generation flagship model many developers have been waiting for.
Final Thoughts
The launch of Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber demonstrates Google’s continued focus on delivering faster, more efficient and specialized AI solutions. However, the continued delay of Gemini 3.5 Pro means the company’s highest-end AI model remains on the horizon.
Until Google officially unveils Gemini 3.5 Pro, businesses and developers will benefit from more affordable production models—but will have to wait a little longer for Google’s next breakthrough in advanced AI reasoning and coding.