Brief Overview
- Google Gemini 3.5 provides an agent‑optimized model for coding, workflows, and multi‑step automation with strong reasoning.
- It is lightweight and offers ultra‑fast inference for real‑time developer tools.
- It has enterprise‑grade security and extended tool integrations.
Google has recently introduced Gemini 3.5, an advanced AI model positioned as a step forward for AI developers and agent-based workflows. It is designed primarily to prioritise speed, coding, and handling complex tasks in parallel. In simple words, Google wants this AI model to feel fast like a lightweight tool, but capable of so much more.
What is New in Gemini 3.5
Google’s Gemini 3.5 Flash is the version Google has heavily promoted so far. It focuses on providing near-pro intelligence for coding and agentic execution.
Additionally, it also supports a very large context window, with up to 1,048,576 input tokens and 65,535 output tokens, allowing it to handle long documents, big codebases, and rich multimodal inputs.
Why Gemini 3.5 Matters
The main motive of Gemini 3.5 is to provide real value in real tasks. According to Google, Gemini 3.5 can support text, code, images, audio, video, and PDF inputs, which makes it a good option for people building assistants, automation tools, and development workflows.
Other than that, the model also supports features like grounding with Google Search, code execution, function calling, structured output, and thinking. This suggests Google is aiming it at practical work rather than providing a simple chat.
What it Means for Developers
Aforementioned, Gemini 3.5 Flash is a developer-friendly model that will help reduce wait times and improve agent productivity.
As per Google, it is capable of handling pro-level coding proficiency and parallel agentic execution, which means it can handle multi-step coding and automation jobs better.
This could be a big advantage for developers, as Gemini 3.5 can handle coding and automation together, making their work easier.
Gemini CLI to Antigravity CLI
The Gemini 3.5 Update was not the only highlight of Google I/O 2026. Another cool update is the transitioning of Gemini CLI to the new Antigravity CLI.
Google says this transition is meant to support its agent-first direction and make the tooling better for longer-running and more complex workflows.
Other than that, the company also says Antigravity CLI keeps major features such as Agent Skills, Hooks, Subagents, and Extensions, which are being renamed as Antigravity plugins.
What is Gemini Spark?
Another interesting announcement from Google I/O 2026 is Gemini Spark, Google’s new personal AI agent concept built on top of Gemini 3.5 and Antigravity.
Google says Spark is meant to work in the background 24/7, so it can help with digital tasks even when your phone or laptop is off.
In simple language, Spark is like an assistant that helps in inbox cleanup, task management, scheduling, and other routine digital work, with Google positioning it for trusted testers and AI Ultra subscribers in the U.S.
What Users Can Expect
As per Google, this change is bigger than just a name change. The company says that starting June 18, 2026, users on the free tier, Google AI Pro, and Ultra plans will need to switch to Antigravity CLI, as Gemini CLI will no longer support those requests.
Businesses and enterprise users with Gemini Code Assist Standard or Enterprise, or people using Google Cloud access, can still keep using the current setup, and Gemini CLI will also stay available for certain paid API users.
Final Take
With the Gemini 3.5, Google has given the developers a stronger AI model that is capable of handling both coding and agent-style automation.
Gemini Spark helps in turning Gemini into a 24/7 assistant that can keep working in the background, while the shift from Gemini CLI to Antigravity CLI shows Google is clearly building around a bigger agent ecosystem rather than a simple chat tool.
Looking at the innovations being done by Google in the field of AI, it seems like Google is planning to take AI models to every sector. It will be interesting to see the upcoming innovations that are planned by Google.
FAQs
What are the new features in Gemini 3.5 for developers?
Some of the new features for developers include better reasoning, systems-level code generation, creative content, multimodal production, and API controls for latency/cost.
Can developers access Gemini 3.5 via API?
Yes, it is available via the Gemini API with API keys from Google AI Studio on both the free & paid tiers.
Is Gemini 3.5 good for AI agents?
Yes, it powers the Antigravity agent that runs code, manages files, and searches the web autonomously; supports function calling and agentic workflows.
