Testing The New Gemini 3.1 Pro Model

Why It Matters

Gemini 3.1’s enhanced creative and scientific abilities give developers and enterprises a faster, more versatile AI tool, sharpening competitive advantage in product design and research automation.

Key Takeaways

• Gemini 3.1 excels at generating animated SVG graphics.
• Model shows improved scientific knowledge and coding capabilities.
• Demonstrated limitations: misplacements and visual inaccuracies still persist.
• Integration planned across Google AI Studio, CLI, Android Studio.
• Enterprise rollout includes Vertex AI and Gemini Enterprise services.

Summary

The video showcases a hands‑on test of Google’s Gemini 3.1 Pro model, focusing on its ability to generate an animated SVG of a grey wolf playing basketball and render it in a browser. The demonstration highlights the model’s speed—producing a preview in roughly three and a half minutes—and its newfound competence in visual‑creative tasks.

Beyond graphics, the presenter notes that Gemini 3.1 delivers measurable gains in scientific knowledge, agentic terminal coding, and research‑oriented programming. While the animated output is recognizable, the reviewer points out positional errors such as a misplaced number and a headband obscuring the eyes, underscoring that the model is better but not flawless.

Key moments include the exclamation “Oh my gosh,” reflecting surprise at the quality, and a candid assessment of the model’s current shortcomings. The speaker also outlines the rollout plan: developers will access Gemini 3.1 via Google AI Studio, the Gemini CLI, Google Anti‑gravity, and Android Studio, while enterprise customers will find it in Vertex AI and Gemini Enterprise.

The implications are clear: developers gain a more capable AI partner for prototyping visual assets and scientific code, and enterprises can embed advanced generative AI into existing cloud workflows, potentially accelerating product development and research cycles.

Original Description

New Model Alert: Gemini 3.1 Pro.

Is it a game changer? Yes and no.

For general chat, it feels like a marginal update. But for specialized tasks, it’s hitting new highs in scientific research and coding. I put it to the test here.

And for all the recent new models and AI news, check out my latest video linked here.

#AI #Ainews #gemini #google