If you want an even better AI model, there could be reason to celebrate. Google, on Thursday, announced the release of Gemini 3.1 Pro, characterizing the model’s arrival as “a step forward in core reasoning.”
Measured by the release cadence of machine learning models, Gemini 3.1 Pro is hard on the heels of recent model debuts from Anthropic and OpenAI. There’s barely enough time to start using new US commercial AI models before a competitive alternative surfaces. And that’s to say nothing about the AI models coming from outside the US, like Qwen3.5.
Google’s Gemini team in a blog post contends that Gemini 3.1 Pro can tackle complex problem-solving better than preceding models. And they cite benchmark test results – which should be viewed with some skepticism – to support that claim. On the ARC-AGI-2 problem-solving test, Gemini 3.1 Pro scored 77.1 percent, compared to Gemini 3 Pro, which scored 31.1 percent, and Gemini 3 Deep Think, which scored 45.1 percent.
Gemini 3.1 Pro outscores rival commercial models like Anthropic’s Opus 4.6 and Sonnet 4.6, and OpenAI’s GPT-5.2 and GPT-5.3-Codex in the majority of cited benchmarks, Google’s chart shows. However, Opus 4.6 retains the top score for Humanity’s Last Exam (full set, test + MM), SWE-Bench Verified, and τ²-bench. And GPT-5.3-Codex leads in SWE-Bench Pro (Public) and Terminal-Bench 2.0 when evaluated using Codex’s own harness rather than the standard Terminus-2 agent harness.
“3.1 Pro is designed for tasks where a simple answer isn’t enough, taking advanced reasoning and making it useful for your hardest challenges,” the Gemini team said. “This improved intelligence can help in practical applications – whether you’re looking for a clear, visual explanation of a complex topic, a way to synthesize data into a single view, or bringing a creative project to life.”
To illustrate potential uses, the Gemini team points to how the model can create website-ready SVG animations and can translate the literary style of a novel into the design of a personal portfolio site.
In the company’s Q4 2025 earnings release [PDF], CEO Sundar Pichai said, “Our first party models, like Gemini, now process over 10 billion tokens per minute via direct API use by our customers, and the Gemini App has grown to over 750 million monthly active users.”
Google is making Gemini 3.1 Pro available via the Gemini API in Google AI Studio, Gemini CLI, Antigravity, and Android Studio. Enterprise customers can access it via Vertex AI and Gemini Enterprise while consumers can do so via the Gemini app and NotebookLM.
The model is also accessible via several Microsoft services including GitHub Copilot, Visual Studio, and Visual Studio Code. ®