Yesterday, Google officially introduced three new Gemini models that are said to deliver efficiency, latency and reliability to build AI agents at scale: Gemini 3.6 Flash, Gemini 3.5 Flash and Gemini 3.5 Flash Cyber.
New Gemini models
Gemini 3.6 Flash
3.6 Flash not only delivers a step up in coding and knowledge work, but it does this while meaningfully improving token efficiency. It also takes fewer reasoning steps and tool calls to accomplish multi-step workflows.
Even while being more efficient, 3.6 Flash sees performance gains compared to 3.5 Flash across use cases:
- 3.6 Flash delivers higher precision with fewer unwanted code edits and reduced execution loops, as seen in DeepSWE (49% vs. 37%), and shows significant improvement in ML Research, as seen in MLE Bench (63.9% vs. 49.7%).
- It has improved computer use capabilities, as seen in OSWorld-Verified (83.0% vs. 78.4%). Computer use is now a built-in client-side tool via the Gemini API and Gemini Enterprise.
- It outperforms 3.5 Flash in knowledge work, as shown by benchmarks like GDPval-AA v2 (1421 vs. 1349).
This model is shipping with enhanced Frontier Safety safeguards in the domains of Chemical, Biological, Radiological and Nuclear (CBRN) and cyber offense misuses. At $1.50/IM input tokens and $7.50/IM output tokens, 3.6 Flash reduces the overall cost per agentic task.
Gemini 3.5 Flash-Lite
This model is designed for both low-latency tasks and tasks where high throughput is critical for developers’ workflows like agentic search and document processing. It is claimed to be the fastest model in the 3.5 series. As measured by Artificial Analysis, it runs at 350 output tokens/s.
3.5 Flash-Lite offers a strong price-to-performance ratio for developers and customers running high-throughput production traffic. It enables efficient scaling for agentic systems. Depending on the workload, developers can configure the model to prioritise low-latency, low-cost execution for high-volume tasks with minimal and low thinking levels, or engage higher thinking levels to process multi-step subagent workloads. The model now also has a computer use as a built-in tool to reliably support these agentic tasks across surfaces.
On many agentic and coding evals, 3.5 Flash-Lite even outperforms 3 Flash, including on SWE-Bench Pro (54.2% vs. 49.6%) and OSWorld-Verified (74.0% vs. 65.1%), making it a faster & more capable option for workloads on both 2.5 and 3 Flash.
The model is priced at $0.3/1M input tokens and $2.5/1M output tokens.
Gemini 3.5 Flash Cyber
Gemini 3.5 Flash Cyber is built on top of 3.5 Flash, and fine-tuned for finding and fixing cybersecurity vulnerabilities at a lower price per token than larger models. This model reaches competitive performance at the frontier on the popular benchmark CyberGym.
This model will be exclusively available to governments and trusted partners via CodeMender as part of a limited-access pilot program soon.
Gemini 3.6 Flash & 3.5 Flash-Lite: Availability
These models are available for:
- Developers in the Gemini API via Google AI Studio and Android Studio. 3.6 Flash is also available in Google Antigravity.
- For enterprises in Gemini Enterprise Agent Platform, 3.6 Flash is also available in the Gemini Enterprise app.
- For everyone via the Gemini app. 3.5 Flash Lite is also rolling out in Google Search.
Apart from this, the company has revealed that the Gemini 3.5 Pro is currently testing with partners and the model is planned to be made broadly available as soon as it’s ready. While the team is also focusing on building the next generation of models. Google has also started its most ambitious pre-training run yet, for Gemini 4.
