# Google Cuts AI Costs with New Gemini Models

Gemini 3.6 Flash reduces token costs by up to 65% on long-term engineering tasks.

- **Source:** [VentureBeat (feeds.feedburner.com)](https://brifing.si/source/c51474dc-6b09-49dd-aaca-085f4ed00c84)
- **Published:** 2026-07-21
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://venturebeat.com/technology/googles-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>
- **On Brifing:** https://brifing.si/s/75548152-517a-41fa-8c90-781ff1534d81

## New Gemini Models Announced

Google DeepMind announced three new AI models with high token efficiency: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. These models aim to make AI agents faster, smarter, and more cost-effective. They offer significant cost advantages, especially for long-term engineering tasks.

## Pricing and Comparison

Gemini 3.6 Flash is priced at $1.50 for input tokens and $7.50 for output tokens. Gemini 3.5 Flash-Lite is one of the most affordable options at $0.30 and $2.50, respectively. Compared to previous models, the new ones are significantly more efficient.

## Token Efficiency

Gemini 3.6 Flash reduces output token usage by 17% compared to its predecessor. In software engineering tasks, this saving can reach up to 65%. This means AI agents can complete the same tasks with fewer steps and tool calls.

## Use Cases

The models are immediately available through Google AI Studio and Android Studio. Gemini 3.5 Flash Cyber is specifically designed for cybersecurity researchers and will soon be accessible via CodeMender.

## Competitive Landscape

Google's move is a significant step in the competition with rivals like OpenAI and Anthropic. However, developers are questioning why the more powerful Gemini 3.5 Pro model is still not available.

## Technical Details

Gemini 3.6 Flash and 3.5 Flash-Lite offer a 1-million-token input window and a 64,000-token output limit. While details about their internal architecture are scarce, they are said to produce results with fewer steps.

## Industry Impact

These models are expected to significantly impact large-scale software development and automation projects by reducing costs. Token efficiency will simplify budget planning for long-term projects.

## User Reactions

The developer community welcomes the price-performance ratio of the new models but criticizes the lack of open-source alternatives. Google's closed-source strategy may be limiting for some users.

## Future Expectations

Google announced that Gemini 3.5 Pro will be released soon. This model is expected to be more powerful than the current Flash series and strengthen Google's position in the competition.

## Conclusion and Insights

Google's new Gemini models represent a significant step in AI industry efficiency and cost optimization. These models, which promise long-term savings for corporate users, could accelerate the widespread adoption of AI.

## Sources covering this story

- https://venturebeat.com/technology/googles-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 — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._