Google Releases Two New Gemini Models, But Still No Gemini 3.5 Pro

Google has unveiled two new additions to its Gemini ‘Flash’ lineup: the Gemini 3.6 Flash and the Gemini 3.5 Flash-Lite. These models are designed to provide developers with the efficiency, low latency, and reliability needed to run AI agents at scale. The release comes as a surprise, given that Google had previously announced plans for a Gemini 3.5 Pro model, which has yet to materialize.

In a July 21 blog post, Google detailed its new models, highlighting their capabilities in various domains. The company positioned the Gemini 3.6 Flash as its general-purpose ‘workhorse’ model, offering improvements over the previous 3.5 Flash generation in areas such as coding, knowledge work, and multimodal tasks. Notably, this model is priced lower than its predecessor at $1.50 per million input tokens and $7.50 per million output tokens.

Google has also released benchmark evaluations of the Gemini 3.6 Flash, demonstrating improvements across various domains. The company’s goal with these models is to provide developers with a comprehensive solution for running AI agents efficiently. When it comes to high-throughput workloads like agentic search and document processing, Google recommends using the Gemini 3.5 Flash-Lite model.

The Gemini 3.5 Flash-Lite is touted as the fastest model in its series, capable of producing 350 output tokens per second at a lower price point of $0.3 per million input tokens and $2.5 per million output tokens. This model outperforms its predecessor across agentic benchmarks and is designed for latency-sensitive applications.

Google has also introduced a specialized cybersecurity model called Gemini 3.5 Flash Cyber, which is being deployed inside CodeMender, the company’s code security agent. However, this model will not be broadly available; instead, it will be offered exclusively to governments and select partners through a limited-access pilot due to concerns about dual-use risks.

The release of these new models has sparked interest in the AI community, particularly given the recent advancements made by other companies such as Anthropic and OpenAI. The latter’s Fable 5 model, for instance, has been making waves with its capabilities in multimodal tasks. Additionally, Google’s own plans to launch a future Gemini 4 model have raised questions about the company’s priorities.

Google’s blog post also provided an update on the status of the Gemini 3.5 Pro model, which was previously announced as launching in June. According to the company, this model is currently undergoing testing with partners and will be available ‘as soon as it’s ready.’ This delay has led some to speculate about Google’s priorities and whether the company is focusing too much on its newer models.

The release of these new Gemini models marks a significant development in the field of AI, particularly when it comes to free AI video generators. The Gemini 3.6 Flash model includes expanded safety measures designed to resist jailbreak attempts related to chemical, biological, radiological, and nuclear misuse, as well as cyber offenses. Google aims to avoid unnecessary refusals for legitimate use cases while ensuring the security of its models.

The introduction of these new models has sparked interest in the AI community, with many developers eager to explore their capabilities. However, some have raised concerns about the potential risks associated with advanced AI models like Gemini 3.5 Flash Cyber.