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		<title>Gemini 3.1 Pro: A Smarter Model for Complex Tasks</title>
		<link>https://www.rightsofemployees.com/gemini-3-1-pro-launch-reasoning-update/</link>
		
		<dc:creator><![CDATA[Chandani]]></dc:creator>
		<pubDate>Sat, 21 Feb 2026 15:28:37 +0000</pubDate>
				<category><![CDATA[Featured]]></category>
		<category><![CDATA[TECH]]></category>
		<category><![CDATA[AI core reasoning]]></category>
		<category><![CDATA[ARC-AGI-2 score]]></category>
		<category><![CDATA[Gemini 3 Deep Think]]></category>
		<category><![CDATA[Gemini 3.1 Pro launch]]></category>
		<category><![CDATA[Gemini API developer]]></category>
		<category><![CDATA[Google AI Pro plan]]></category>
		<category><![CDATA[Google AI Studio preview]]></category>
		<category><![CDATA[Google Antigravity]]></category>
		<category><![CDATA[NotebookLM Pro update]]></category>
		<category><![CDATA[Vertex AI Gemini Enterprise]]></category>
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					<description><![CDATA[<p>Gemini 3.1 Pro: A smarter model for your most complex tasks So the world of AI just took a big leap. Google launched Gemini 3.1 Pro today for all users. The goal? Fix hard problems. In fact, this core update makes deep thinking much faster. Plus, it is now live in the Gemini app and [&#8230;]</p>
<p>The post <a href="https://www.rightsofemployees.com/gemini-3-1-pro-launch-reasoning-update/">Gemini 3.1 Pro: A Smarter Model for Complex Tasks</a> first appeared on <a href="https://www.rightsofemployees.com">Rightsofemployees.com</a>.</p>]]></description>
										<content:encoded><![CDATA[<h2 data-path-to-node="8"><span style="font-family: arial, helvetica, sans-serif;"><a href="https://gemini.google.com/">Gemini 3.1 Pro</a>: A smarter model for your most complex tasks</span></h2>
<p data-path-to-node="9"><span style="font-family: arial, helvetica, sans-serif;">So the world of AI just took a big leap. Google launched Gemini 3.1 Pro today for all users. The goal? Fix hard problems. In fact, this core update makes deep thinking much faster. Plus, it is now live in the Gemini app and API.</span></p>
<h3 data-path-to-node="10"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="10" data-index-in-node="0">Reasoning and Benchmark Wins</b></span></h3>
<p data-path-to-node="11"><span style="font-family: arial, helvetica, sans-serif;">But here is the main win for 3.1 Pro. It features a massive jump in core logic. Is it smarter? Yes. It scored 77.1% on the ARC-AGI-2 test. Consequently, this is double the power of the old 3 Pro. That is a huge gain for research.</span></p>
<p data-path-to-node="12"><span style="font-family: arial, helvetica, sans-serif;">Moreover, the model solves entirely new logic patterns. Previously, AI struggled with tasks it had not seen before. So this update changes how the bot &#8220;thinks&#8221; through a plan. Therefore, developers can build more complex apps. It is a true step forward.</span></p>
<h3 data-path-to-node="13"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="13" data-index-in-node="0">Gemini 3.1 Pro vs Gemini 3 Pro: Key Stats</b></span></h3>
<table data-path-to-node="14">
<thead>
<tr>
<td><span style="font-family: arial, helvetica, sans-serif;"><strong>Metric</strong></span></td>
<td><span style="font-family: arial, helvetica, sans-serif;"><strong>Gemini 3 Pro</strong></span></td>
<td><span style="font-family: arial, helvetica, sans-serif;"><strong>Gemini 3.1 Pro</strong></span></td>
</tr>
</thead>
<tbody>
<tr>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,1,0,0">🧠 <b data-path-to-node="14,1,0,0" data-index-in-node="3">ARC-AGI-2 Score</b></span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,1,1,0">~35%</span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,1,2,0"><b data-path-to-node="14,1,2,0" data-index-in-node="0">77.1% (Verified)</b></span></td>
</tr>
<tr>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,2,0,0">💻 <b data-path-to-node="14,2,0,0" data-index-in-node="3">Platform</b></span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,2,1,0">Standard App</span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,2,2,0"><b data-path-to-node="14,2,2,0" data-index-in-node="0">API, CLI, Studio</b></span></td>
</tr>
<tr>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,3,0,0">🛠️ <b data-path-to-node="14,3,0,0" data-index-in-node="4">Reasoning</b></span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,3,1,0">Base</span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,3,2,0"><b data-path-to-node="14,3,2,0" data-index-in-node="0">Advanced / Smart</b></span></td>
</tr>
<tr>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,4,0,0">📈 <b data-path-to-node="14,4,0,0" data-index-in-node="3">Performance</b></span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,4,1,0">Good</span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,4,2,0"><b data-path-to-node="14,4,2,0" data-index-in-node="0">Double (2x)</b></span></td>
</tr>
<tr>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,5,0,0">🚀 <b data-path-to-node="14,5,0,0" data-index-in-node="3">Access</b></span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,5,1,0">Public</span></td>
<td><span style="font-family: arial, helvetica, sans-serif;" data-path-to-node="14,5,2,0"><b data-path-to-node="14,5,2,0" data-index-in-node="0">Preview / Pro Plans</b></span></td>
</tr>
</tbody>
</table>
<h3 data-path-to-node="15"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="15" data-index-in-node="0">Where You Can Use 3.1 Pro</b></span></h3>
<p data-path-to-node="16"><span style="font-family: arial, helvetica, sans-serif;">Still, you might wonder where to find it. Developers can grab it in the Gemini API now. The tool? Google AI Studio. And it is also inside Android Studio and Antigravity. Accordingly, you can start coding with it today.</span></p>
<p data-path-to-node="17"><span style="font-family: arial, helvetica, sans-serif;">But consumers have access too. If you have a Pro or Ultra plan, check your app. It is also live on NotebookLM for paid users. Essentially, Google is pushing the tech to every corner. Indeed, it is a wide rollout.</span></p>
<h3 data-path-to-node="18"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="18" data-index-in-node="0">Intelligence Applied in Real Life</b></span></h3>
<p data-path-to-node="19"><span style="font-family: arial, helvetica, sans-serif;">Then there is the practical side of things. 3.1 Pro is for times when simple facts aren&#8217;t enough. It can turn vast data into one clear view. The result? Better projects. And it can explain science in a visual way.</span></p>
<p data-path-to-node="20"><span style="font-family: arial, helvetica, sans-serif;">Worth noting: This is still in the &#8220;preview&#8221; stage. Google wants your feedback to make it even better. So they will add agentic workflows very soon. Ultimately, the pace of AI progress is not slowing down.</span></p>
<hr data-path-to-node="21" />
<h3 data-path-to-node="22"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="22" data-index-in-node="0">Frequently Asked Questions (FAQs)</b></span></h3>
<p data-path-to-node="23"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="23" data-index-in-node="0">What is the score of Gemini 3.1 Pro on ARC-AGI-2?</b> </span></p>
<p data-path-to-node="23"><span style="font-family: arial, helvetica, sans-serif;">So the model hit a verified score of 77.1%. Because of this, it has more than double the reasoning power of the previous 3 Pro version.</span></p>
<p data-path-to-node="24"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="24" data-index-in-node="0">Who can access Gemini 3.1 Pro today?</b> </span></p>
<p data-path-to-node="24"><span style="font-family: arial, helvetica, sans-serif;">In fact, it is rolling out for Google AI Pro and Ultra users. Additionally, developers can find it in preview via the Gemini API and Vertex AI.</span></p>
<p data-path-to-node="25"><span style="font-family: arial, helvetica, sans-serif;"><b data-path-to-node="25" data-index-in-node="0">What is Google Antigravity?</b> </span></p>
<p data-path-to-node="25"><span style="font-family: arial, helvetica, sans-serif;">But it is Google&#8217;s new platform for agentic development. Consequently, it allows developers to build smart AI agents using the 3.1 Pro model.<img decoding="async" class="alignnone wp-image-50678" src="https://www.rightsofemployees.com/wp-content/uploads/2026/02/PEN-3.png" alt="Gemini 3.1 Pro launch
" width="15" height="15" srcset="https://www.rightsofemployees.com/wp-content/uploads/2026/02/PEN-3.png 200w, https://www.rightsofemployees.com/wp-content/uploads/2026/02/PEN-3-150x150.png 150w" sizes="(max-width: 15px) 100vw, 15px" /></span></p>
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</ul><p>The post <a href="https://www.rightsofemployees.com/gemini-3-1-pro-launch-reasoning-update/">Gemini 3.1 Pro: A Smarter Model for Complex Tasks</a> first appeared on <a href="https://www.rightsofemployees.com">Rightsofemployees.com</a>.</p>]]></content:encoded>
					
		
		
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