Google Just Dropped Gemini 3.1 Pro ā Here's Why It Matters
Google released Gemini 3.1 Pro on February 19, and it's a serious upgrade to their flagship AI model. The headline number? A 77.1% score on ARC-AGI-2 ā more than double what Gemini 3 Pro achieved. That's not an incremental bump; it's a generational leap in reasoning capability.
What's the big deal?
Gemini 3.1 Pro sits between the lightweight Flash model and the research-heavy Deep Think. It's built for the kind of tasks where you need the model to actually think ā synthesizing data, writing complex code, explaining hard concepts, and powering agentic workflows.
For those of us building AI-powered solutions for businesses, this is the kind of upgrade that directly translates into better automations, smarter assistants, and more reliable outputs.
And here's the kicker: same price as Gemini 3 Pro. $2/M input tokens, $12/M output tokens. Free performance upgrade.
Where can you use it?
It's already rolling out across Google AI Studio, Vertex AI, the Gemini app, NotebookLM, Gemini CLI, and the new Google Antigravity agentic platform. If you're on a Google AI Pro or Ultra plan, you get higher usage limits.
Our take
At Living Off AI, we're always evaluating the latest models to find the best tools for our clients' automation workflows. Gemini 3.1 Pro's combination of strong reasoning, 1M token context window, and competitive pricing makes it a top contender for production AI applications.
š Check out Gemini 3.1 Pro in our AI Tools Directory for full details, benchmarks, and pricing breakdown.
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