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	<title>Large Language Model Wiki - User contributions [en]</title>
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	<updated>2026-05-11T21:13:22Z</updated>
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		<title>Template:Infobox</title>
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		<updated>2026-04-26T20:20:29Z</updated>

		<summary type="html">&lt;p&gt;LLM Wiki: Created page with &amp;quot;&amp;lt;noinclude&amp;gt; {{documentation}} Category:Base templates Category:Infobox templates &amp;lt;/noinclude&amp;gt;&amp;lt;includeonly&amp;gt;&amp;lt;!-- =======================================================   Template:Infobox — Base infobox wrapper   Supports up to 50 label/data row pairs.   All parameters are optional. ======================================================= --&amp;gt;&amp;lt;table class=&amp;quot;infobox {{{bodyclass|}}}&amp;quot; style=&amp;quot;border:1px solid #aaa; background:#f9f9f9; color:#000; margin:0 0 1em 1.5em;...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;noinclude&amp;gt;&lt;br /&gt;
{{documentation}}&lt;br /&gt;
[[Category:Base templates]]&lt;br /&gt;
[[Category:Infobox templates]]&lt;br /&gt;
&amp;lt;/noinclude&amp;gt;&amp;lt;includeonly&amp;gt;&amp;lt;!--&lt;br /&gt;
=======================================================&lt;br /&gt;
  Template:Infobox — Base infobox wrapper&lt;br /&gt;
  Supports up to 50 label/data row pairs.&lt;br /&gt;
  All parameters are optional.&lt;br /&gt;
=======================================================&lt;br /&gt;
--&amp;gt;&amp;lt;table class=&amp;quot;infobox {{{bodyclass|}}}&amp;quot; style=&amp;quot;border:1px solid #aaa; background:#f9f9f9; color:#000; margin:0 0 1em 1.5em; padding:0; font-size:88%; line-height:1.5em; width:22em; {{{bodystyle|}}}&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{{!}}{{!}} style=&amp;quot;width:100%; {{{abovestyle|}}}&amp;quot; colspan=&amp;quot;2&amp;quot; | &#039;&#039;&#039;{{{above|}}}&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{{#if:{{{image|}}}|&lt;br /&gt;
{{!}}-&lt;br /&gt;
{{!}} colspan=&amp;quot;2&amp;quot; style=&amp;quot;text-align:center; padding:4px; {{{imagestyle|}}}&amp;quot; |&lt;br /&gt;
{{{image|}}}&lt;br /&gt;
{{#if:{{{caption|}}}|&lt;br /&gt;
{{!}}-&lt;br /&gt;
{{!}} colspan=&amp;quot;2&amp;quot; style=&amp;quot;text-align:center; font-size:0.85em; color:#555; {{{captionstyle|}}}&amp;quot; |&lt;br /&gt;
{{{caption|}}}&lt;br /&gt;
}}&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
{{#if:{{{subheader|}}}|&lt;br /&gt;
{{!}}-&lt;br /&gt;
{{!}} colspan=&amp;quot;2&amp;quot; style=&amp;quot;text-align:center; font-size:0.95em; font-style:italic; border-top:1px solid #ccc; padding:4px; {{{subheaderstyle|}}}&amp;quot; |&lt;br /&gt;
{{{subheader|}}}&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
{{!}}-&lt;br /&gt;
&amp;lt;!-- *** Rows 1–50: label/data pairs *** --&amp;gt;&lt;br /&gt;
{{#if:{{{data1|}}}{{{label1|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label1|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label1|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label1|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data1|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data2|}}}{{{label2|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label2|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label2|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label2|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data2|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data3|}}}{{{label3|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label3|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label3|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label3|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data3|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data4|}}}{{{label4|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label4|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label4|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label4|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data4|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data5|}}}{{{label5|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label5|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label5|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label5|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data5|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data6|}}}{{{label6|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label6|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label6|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label6|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data6|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data7|}}}{{{label7|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label7|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label7|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label7|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data7|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data8|}}}{{{label8|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label8|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label8|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label8|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data8|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data9|}}}{{{label9|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label9|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label9|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label9|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data9|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data10|}}}{{{label10|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label10|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label10|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label10|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data10|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data11|}}}{{{label11|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label11|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label11|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label11|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data11|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data12|}}}{{{label12|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label12|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label12|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label12|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data12|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data13|}}}{{{label13|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label13|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label13|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label13|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data13|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data14|}}}{{{label14|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label14|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label14|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label14|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data14|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data15|}}}{{{label15|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label15|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label15|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label15|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data15|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data16|}}}{{{label16|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label16|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label16|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label16|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data16|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data17|}}}{{{label17|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label17|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label17|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label17|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data17|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data18|}}}{{{label18|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label18|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label18|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label18|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data18|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data19|}}}{{{label19|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label19|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label19|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label19|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data19|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data20|}}}{{{label20|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label20|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label20|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label20|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data20|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data21|}}}{{{label21|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label21|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label21|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label21|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data21|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data22|}}}{{{label22|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label22|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label22|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label22|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data22|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data23|}}}{{{label23|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label23|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label23|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label23|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data23|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data24|}}}{{{label24|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label24|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label24|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label24|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data24|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data25|}}}{{{label25|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label25|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label25|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label25|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data25|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data26|}}}{{{label26|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label26|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label26|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label26|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data26|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data27|}}}{{{label27|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label27|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label27|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label27|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data27|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data28|}}}{{{label28|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label28|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label28|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label28|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data28|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data29|}}}{{{label29|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label29|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label29|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label29|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data29|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data30|}}}{{{label30|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label30|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label30|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label30|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data30|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data31|}}}{{{label31|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label31|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label31|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label31|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data31|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data32|}}}{{{label32|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label32|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label32|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label32|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data32|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data33|}}}{{{label33|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label33|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label33|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label33|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data33|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data34|}}}{{{label34|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label34|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label34|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label34|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data34|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data35|}}}{{{label35|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label35|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label35|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label35|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data35|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data36|}}}{{{label36|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label36|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label36|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label36|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data36|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data37|}}}{{{label37|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label37|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label37|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label37|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data37|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data38|}}}{{{label38|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label38|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label38|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label38|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data38|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data39|}}}{{{label39|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label39|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label39|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label39|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data39|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data40|}}}{{{label40|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label40|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label40|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label40|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data40|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data41|}}}{{{label41|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label41|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label41|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label41|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data41|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data42|}}}{{{label42|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label42|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label42|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label42|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data42|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data43|}}}{{{label43|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label43|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label43|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label43|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data43|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data44|}}}{{{label44|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label44|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label44|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label44|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data44|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data45|}}}{{{label45|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label45|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label45|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label45|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data45|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data46|}}}{{{label46|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label46|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label46|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label46|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data46|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data47|}}}{{{label47|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label47|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label47|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label47|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data47|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data48|}}}{{{label48|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label48|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label48|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label48|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data48|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data49|}}}{{{label49|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label49|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label49|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label49|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data49|}}}&lt;br /&gt;
}}&lt;br /&gt;
{{#if:{{{data50|}}}{{{label50|}}}|{{!}}-&lt;br /&gt;
{{#if:{{{label50|}}}|{{!}} style=&amp;quot;padding:3px 6px; vertical-align:top; font-weight:bold; white-space:nowrap; width:40%; {{{labelstyle|}}}&amp;quot; {{!}} {{{label50|}}} }}&lt;br /&gt;
{{!}} {{#if:{{{label50|}}}||colspan=&amp;quot;2&amp;quot; }}style=&amp;quot;padding:3px 6px; vertical-align:top; {{{datastyle|}}}&amp;quot; {{!}} {{{data50|}}}&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
{{#if:{{{below|}}}|&lt;br /&gt;
{{!}}-&lt;br /&gt;
{{!}} colspan=&amp;quot;2&amp;quot; style=&amp;quot;text-align:center; border-top:1px solid #ccc; padding:5px; font-size:0.9em; {{{belowstyle|}}}&amp;quot; |&lt;br /&gt;
{{{below|}}}&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
|}&amp;lt;/includeonly&amp;gt;&lt;/div&gt;</summary>
		<author><name>LLM Wiki</name></author>
	</entry>
	<entry>
		<id>https://www.largelanguagemodel.wiki/w/index.php?title=Template:Infobox_software/doc&amp;diff=14</id>
		<title>Template:Infobox software/doc</title>
		<link rel="alternate" type="text/html" href="https://www.largelanguagemodel.wiki/w/index.php?title=Template:Infobox_software/doc&amp;diff=14"/>
		<updated>2026-04-26T20:19:44Z</updated>

		<summary type="html">&lt;p&gt;LLM Wiki: Created page with &amp;quot;&amp;lt;noinclude&amp;gt;&amp;lt;!-- This page is the /doc subpage for Template:Infobox software. --&amp;gt; &amp;lt;/noinclude&amp;gt; == Usage ==  Place this template at the top of any software or AI product article. All parameters are optional; omit any that do not apply.  &amp;lt;pre&amp;gt; {{Infobox software | name                =  | logo                =  | caption             =  | developer           =  | released            =  | latest release      =  | latest release date =  | preview release     =  | preview relea...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;noinclude&amp;gt;&amp;lt;!-- This page is the /doc subpage for Template:Infobox software. --&amp;gt;&lt;br /&gt;
&amp;lt;/noinclude&amp;gt;&lt;br /&gt;
== Usage ==&lt;br /&gt;
&lt;br /&gt;
Place this template at the top of any software or AI product article. All parameters are optional; omit any that do not apply.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre&amp;gt;&lt;br /&gt;
{{Infobox software&lt;br /&gt;
| name                = &lt;br /&gt;
| logo                = &lt;br /&gt;
| caption             = &lt;br /&gt;
| developer           = &lt;br /&gt;
| released            = &lt;br /&gt;
| latest release      = &lt;br /&gt;
| latest release date = &lt;br /&gt;
| preview release     = &lt;br /&gt;
| preview release date= &lt;br /&gt;
| operating system    = &lt;br /&gt;
| type                = &lt;br /&gt;
| license             = &lt;br /&gt;
| api                 = &lt;br /&gt;
| language            = &lt;br /&gt;
| website             = &lt;br /&gt;
}}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Parameters ==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Parameter !! Description !! Example&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;name&amp;lt;/code&amp;gt; || Full display name of the software. Used as the infobox title. || &amp;lt;code&amp;gt;Claude&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;logo&amp;lt;/code&amp;gt; || Filename of the logo image (without the &amp;lt;code&amp;gt;File:&amp;lt;/code&amp;gt; prefix). Displayed at 200px. || &amp;lt;code&amp;gt;Claude-logo.png&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;caption&amp;lt;/code&amp;gt; || Optional caption displayed beneath the logo. || &amp;lt;code&amp;gt;Claude 3.5 Sonnet interface, 2024&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;developer&amp;lt;/code&amp;gt; || Individual or organization that created the software. Use wiki links where appropriate. || &amp;lt;code&amp;gt;&amp;lt;nowiki&amp;gt;[[Anthropic]]&amp;lt;/nowiki&amp;gt;&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;released&amp;lt;/code&amp;gt; || Date of initial public release. || &amp;lt;code&amp;gt;March 2023&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;latest release&amp;lt;/code&amp;gt; || Version string or name of the most recent stable release. || &amp;lt;code&amp;gt;Claude Opus 4.7&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;latest release date&amp;lt;/code&amp;gt; || Date of the latest stable release. Displayed inline next to version. || &amp;lt;code&amp;gt;2026&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;preview release&amp;lt;/code&amp;gt; || Version string of the current preview or beta release, if any. || &amp;lt;code&amp;gt;Claude Mythos Preview&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;preview release date&amp;lt;/code&amp;gt; || Date of the preview release. || &amp;lt;code&amp;gt;2026&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;operating system&amp;lt;/code&amp;gt; || Platforms the software runs on or is available through. || &amp;lt;code&amp;gt;Web, iOS, Android, macOS, Windows&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;type&amp;lt;/code&amp;gt; || Software category. Use wiki links where appropriate. || &amp;lt;code&amp;gt;&amp;lt;nowiki&amp;gt;[[Conversational AI]] / [[Large language model]]&amp;lt;/nowiki&amp;gt;&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;license&amp;lt;/code&amp;gt; || License type. || &amp;lt;code&amp;gt;Proprietary&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;api&amp;lt;/code&amp;gt; || API availability or standards, if applicable. || &amp;lt;code&amp;gt;REST (Anthropic Messages API)&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;language&amp;lt;/code&amp;gt; || Programming language(s) the software is implemented in, if applicable and known. || &amp;lt;code&amp;gt;Python&amp;lt;/code&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| &amp;lt;code&amp;gt;website&amp;lt;/code&amp;gt; || Official website. Use &amp;lt;code&amp;gt;&amp;lt;nowiki&amp;gt;{{URL|example.com}}&amp;lt;/nowiki&amp;gt;&amp;lt;/code&amp;gt; for clean formatting. || &amp;lt;code&amp;gt;&amp;lt;nowiki&amp;gt;{{URL|claude.ai}}&amp;lt;/nowiki&amp;gt;&amp;lt;/code&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Full example (Claude AI article) ==&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre&amp;gt;&lt;br /&gt;
{{Infobox software&lt;br /&gt;
| name             = Claude&lt;br /&gt;
| logo             = &lt;br /&gt;
| developer        = [[Anthropic]]&lt;br /&gt;
| released         = March 2023&lt;br /&gt;
| latest release   = Claude Opus 4.7 / Claude Sonnet 4.6&lt;br /&gt;
| operating system = Web, iOS, Android, macOS, Windows&lt;br /&gt;
| type             = [[Conversational AI]] / [[Large language model]]&lt;br /&gt;
| license          = Proprietary&lt;br /&gt;
| website          = {{URL|claude.ai}}&lt;br /&gt;
}}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Dependent templates ==&lt;br /&gt;
&lt;br /&gt;
This template calls:&lt;br /&gt;
* {{[[Template:Infobox|Infobox]]}} — the base infobox wrapper (must be installed)&lt;br /&gt;
* {{[[Template:URL|URL]]}} — for formatting external website links&lt;br /&gt;
* {{[[Template:Documentation|Documentation]]}} — for rendering this documentation page (used in the &amp;lt;code&amp;gt;&amp;lt;noinclude&amp;gt;&amp;lt;/code&amp;gt; block of the template itself)&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Template:Infobox AI model]] — for model-level infoboxes covering individual model versions&lt;br /&gt;
* [[Template:Infobox company]] — for the developer/company page (e.g., [[Anthropic]])&lt;br /&gt;
* [[LLM Wiki:Infobox guidelines]]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;includeonly&amp;gt;&lt;br /&gt;
[[Category:Infobox templates]]&lt;br /&gt;
[[Category:Software templates]]&lt;br /&gt;
&amp;lt;/includeonly&amp;gt;&lt;/div&gt;</summary>
		<author><name>LLM Wiki</name></author>
	</entry>
	<entry>
		<id>https://www.largelanguagemodel.wiki/w/index.php?title=Template:Infobox_software&amp;diff=13</id>
		<title>Template:Infobox software</title>
		<link rel="alternate" type="text/html" href="https://www.largelanguagemodel.wiki/w/index.php?title=Template:Infobox_software&amp;diff=13"/>
		<updated>2026-04-26T20:18:34Z</updated>

		<summary type="html">&lt;p&gt;LLM Wiki: Created page with &amp;quot;&amp;lt;noinclude&amp;gt; {{documentation}} Category:Infobox templates Category:Software templates &amp;lt;/noinclude&amp;gt;&amp;lt;includeonly&amp;gt;{{Infobox | bodystyle    =  | above        = {{{name|}}} | abovestyle   = background:#2D2D2D; color:#FFFFFF; font-size:1.2em; font-weight:bold; padding:6px;  | image        = {{#if:{{{logo|}}}   | }}} logo }} | imagestyle   = padding:10px; text-align:center; background:#F8F8F8;  | caption      = {{{caption|}}} | capti...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;noinclude&amp;gt;&lt;br /&gt;
{{documentation}}&lt;br /&gt;
[[Category:Infobox templates]]&lt;br /&gt;
[[Category:Software templates]]&lt;br /&gt;
&amp;lt;/noinclude&amp;gt;&amp;lt;includeonly&amp;gt;{{Infobox&lt;br /&gt;
| bodystyle    = &lt;br /&gt;
| above        = {{{name|}}}&lt;br /&gt;
| abovestyle   = background:#2D2D2D; color:#FFFFFF; font-size:1.2em; font-weight:bold; padding:6px;&lt;br /&gt;
&lt;br /&gt;
| image        = {{#if:{{{logo|}}}   | [[File:{{{logo}}}|200px|alt={{{name|}}} logo]] }}&lt;br /&gt;
| imagestyle   = padding:10px; text-align:center; background:#F8F8F8;&lt;br /&gt;
&lt;br /&gt;
| caption      = {{{caption|}}}&lt;br /&gt;
| captionstyle = font-size:0.85em; text-align:center; color:#555;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Developer --&amp;gt;&lt;br /&gt;
| label1  = Developer&lt;br /&gt;
| data1   = {{{developer|}}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Initial release --&amp;gt;&lt;br /&gt;
| label2  = Initial release&lt;br /&gt;
| data2   = {{{released|}}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Latest release --&amp;gt;&lt;br /&gt;
| label3  = Latest release&lt;br /&gt;
| data3   = {{#if:{{{latest release|}}}&lt;br /&gt;
              | {{{latest release|}}}{{#if:{{{latest release date|}}}&lt;br /&gt;
                  | &amp;amp;nbsp;&amp;lt;small&amp;gt;/ {{{latest release date|}}}&amp;lt;/small&amp;gt;&lt;br /&gt;
                  }}&lt;br /&gt;
              }}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Preview release --&amp;gt;&lt;br /&gt;
| label4  = Preview release&lt;br /&gt;
| data4   = {{#if:{{{preview release|}}}&lt;br /&gt;
              | {{{preview release|}}}{{#if:{{{preview release date|}}}&lt;br /&gt;
                  | &amp;amp;nbsp;&amp;lt;small&amp;gt;/ {{{preview release date|}}}&amp;lt;/small&amp;gt;&lt;br /&gt;
                  }}&lt;br /&gt;
              }}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Operating system --&amp;gt;&lt;br /&gt;
| label5  = Platform&lt;br /&gt;
| data5   = {{{operating system|}}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Type --&amp;gt;&lt;br /&gt;
| label6  = Type&lt;br /&gt;
| data6   = {{{type|}}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- License --&amp;gt;&lt;br /&gt;
| label7  = License&lt;br /&gt;
| data7   = {{{license|}}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- API --&amp;gt;&lt;br /&gt;
| label8  = API&lt;br /&gt;
| data8   = {{{api|}}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Language --&amp;gt;&lt;br /&gt;
| label9  = Language&lt;br /&gt;
| data9   = {{{language|}}}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!-- Website --&amp;gt;&lt;br /&gt;
| label10 = Website&lt;br /&gt;
| data10  = {{#if:{{{website|}}} | {{{website|}}} }}&lt;br /&gt;
&lt;br /&gt;
}}&amp;lt;/includeonly&amp;gt;&lt;/div&gt;</summary>
		<author><name>LLM Wiki</name></author>
	</entry>
	<entry>
		<id>https://www.largelanguagemodel.wiki/w/index.php?title=Claude_AI&amp;diff=12</id>
		<title>Claude AI</title>
		<link rel="alternate" type="text/html" href="https://www.largelanguagemodel.wiki/w/index.php?title=Claude_AI&amp;diff=12"/>
		<updated>2026-04-26T20:13:40Z</updated>

		<summary type="html">&lt;p&gt;LLM Wiki: Created page with &amp;quot;{{Infobox software | name             = Claude | logo             =  | developer        = Anthropic | released         = March 2023 | latest release   = Claude Opus 4.7 / Claude Sonnet 4.6 | operating system = Web, iOS, Android, macOS, Windows | type             = Conversational AI / Large language model | license          = Proprietary | website          = {{URL|claude.ai}} }}  &amp;#039;&amp;#039;&amp;#039;Claude&amp;#039;&amp;#039;&amp;#039; is a family of large language models (LLMs) and AI assistant pro...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;{{Infobox software&lt;br /&gt;
| name             = Claude&lt;br /&gt;
| logo             = &lt;br /&gt;
| developer        = [[Anthropic]]&lt;br /&gt;
| released         = March 2023&lt;br /&gt;
| latest release   = Claude Opus 4.7 / Claude Sonnet 4.6&lt;br /&gt;
| operating system = Web, iOS, Android, macOS, Windows&lt;br /&gt;
| type             = [[Conversational AI]] / [[Large language model]]&lt;br /&gt;
| license          = Proprietary&lt;br /&gt;
| website          = {{URL|claude.ai}}&lt;br /&gt;
}}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude&#039;&#039;&#039; is a family of [[large language model]]s (LLMs) and AI assistant products developed by [[Anthropic]], an AI safety company headquartered in San Francisco, California. First trained internally in 2022 and publicly released in March 2023, Claude has evolved through multiple model generations and is widely used for tasks including natural language understanding, reasoning, code generation, document analysis, and agentic task execution. It is among the most commercially significant frontier AI systems as of 2026.&lt;br /&gt;
&lt;br /&gt;
The name &amp;quot;Claude&amp;quot; is widely regarded as a reference to [[Claude Shannon]], the mathematician and electrical engineer commonly credited as the father of [[information theory]].&amp;lt;ref&amp;gt;Britannica, &#039;&#039;Claude AI&#039;&#039;, 2025.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
{{TOC limit|3}}&lt;br /&gt;
&lt;br /&gt;
== Background: Anthropic ==&lt;br /&gt;
&lt;br /&gt;
Claude is the flagship product of &#039;&#039;&#039;Anthropic PBC&#039;&#039;&#039;, a [[public benefit corporation]] founded in 2021. Anthropic was established by siblings &#039;&#039;&#039;Dario Amodei&#039;&#039;&#039; (CEO) and &#039;&#039;&#039;Daniela Amodei&#039;&#039;&#039; (President), along with approximately seven other former senior researchers from [[OpenAI]].&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;&amp;gt;Wikipedia, &#039;&#039;Anthropic&#039;&#039;, 2026.&amp;lt;/ref&amp;gt; Dario Amodei had served as Vice President of Research at OpenAI; Daniela as Vice President of Safety and Policy. The founders departed over disagreements about the pace and safety practices of AI development at OpenAI, with the explicit goal of building a lab that treated safety as a first-order concern rather than a secondary consideration.&amp;lt;ref name=&amp;quot;founding&amp;quot;&amp;gt;Contrary Research, &#039;&#039;Anthropic Business Breakdown &amp;amp; Founding Story&#039;&#039;, 2026.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Anthropic was incorporated as a Delaware public benefit corporation — a legal structure allowing the board to formally weigh public benefit alongside shareholder returns. The company&#039;s stated mission is to develop AI that is &#039;&#039;&#039;reliable, interpretable, and steerable&#039;&#039;&#039;, with safety embedded in research and deployment practices rather than retrofitted as compliance.&lt;br /&gt;
&lt;br /&gt;
As of early 2026, Anthropic was valued at approximately $380 billion.&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;/&amp;gt; The company generates revenue through Claude API access, its consumer product claude.ai, and enterprise partnerships, most notably with [[Amazon Web Services]], which invested heavily in Anthropic beginning in 2023. Major cloud partnerships also include [[Google Cloud]] and Microsoft Foundry.&lt;br /&gt;
&lt;br /&gt;
=== Constitutional AI ===&lt;br /&gt;
&lt;br /&gt;
Anthropic&#039;s principal technical contribution to AI alignment is &#039;&#039;&#039;Constitutional AI&#039;&#039;&#039; (CAI), introduced in a December 2022 paper. CAI is a training methodology in which a language model is guided by a set of written principles — a &amp;quot;constitution&amp;quot; — and trained to self-critique and revise its own outputs against those principles.&amp;lt;ref name=&amp;quot;cai-paper&amp;quot;&amp;gt;Bai, Y. et al. (2022). Constitutional AI: Harmlessness from AI Feedback. Anthropic.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The process involves two stages:&lt;br /&gt;
# &#039;&#039;&#039;Supervised learning&#039;&#039;&#039; — The model generates responses and revises them according to the constitutional principles, producing a curated dataset.&lt;br /&gt;
# &#039;&#039;&#039;Reinforcement learning from AI feedback&#039;&#039;&#039; (RLAIF) — A second model instance acts as a &amp;quot;critic,&amp;quot; judging whether responses comply with the constitution. The original model is then trained to maximize these AI-generated preference signals.&lt;br /&gt;
&lt;br /&gt;
RLAIF effectively automates the human-evaluator step in conventional [[reinforcement learning from human feedback]] (RLHF), making alignment training more scalable. Claude 2&#039;s constitution drew on sources including the 1948 [[Universal Declaration of Human Rights]] and Apple&#039;s Terms of Service, among others.&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;/&amp;gt; Claude&#039;s current constitution (updated 2026) articulates not just rules but the reasoning and values behind them, with Anthropic stating an intent for it to serve as a model for the broader industry.&lt;br /&gt;
&lt;br /&gt;
=== Responsible Scaling Policy ===&lt;br /&gt;
&lt;br /&gt;
In September 2023, Anthropic published its first &#039;&#039;&#039;Responsible Scaling Policy&#039;&#039;&#039; (RSP), a self-imposed framework that commits the company to pausing or restricting deployment if model capabilities cross predefined risk thresholds. The RSP defines a ladder of &#039;&#039;&#039;AI Safety Levels&#039;&#039;&#039; (ASLs), analogous to biosafety levels in pathogen research:&amp;lt;ref name=&amp;quot;rsp3&amp;quot;&amp;gt;Anthropic, &#039;&#039;Responsible Scaling Policy Version 3.0&#039;&#039;, 2026.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;ASL-1&#039;&#039;&#039; — Models with no meaningful catastrophic risk.&lt;br /&gt;
* &#039;&#039;&#039;ASL-2&#039;&#039;&#039; — Models requiring standard deployment and security safeguards; covers Claude models through Claude 3.7.&lt;br /&gt;
* &#039;&#039;&#039;ASL-3&#039;&#039;&#039; — Activated for Claude Opus 4 (May 2025); requires enhanced internal security and deployment restrictions targeting potential weapons-of-mass-destruction misuse.&lt;br /&gt;
* &#039;&#039;&#039;ASL-4 and beyond&#039;&#039;&#039; — Thresholds intentionally left partially undefined pending better capability characterization.&lt;br /&gt;
&lt;br /&gt;
The RSP has been updated multiple times (v2 in 2024, v3 in early 2026), with each iteration refining capability evaluation methods and safeguard specifications. Anthropic cites the RSP as a framework it hopes will be adopted industrywide, or inform government regulation.&lt;br /&gt;
&lt;br /&gt;
== History and model generations ==&lt;br /&gt;
&lt;br /&gt;
=== Internal development (2022) ===&lt;br /&gt;
&lt;br /&gt;
Anthropic completed training the first version of Claude in the summer of 2022 but did not immediately release it, citing the need for further safety testing and a stated desire to avoid contributing to an accelerationist dynamic in AI development.&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;/&amp;gt; This period also saw the publication of the Constitutional AI paper, which would become the methodological foundation for all subsequent Claude training.&lt;br /&gt;
&lt;br /&gt;
=== Claude 1 / Claude Instant (March 2023) ===&lt;br /&gt;
&lt;br /&gt;
Claude and &#039;&#039;&#039;Claude Instant&#039;&#039;&#039; were released in March 2023, initially only to Anthropic-approved enterprise partners through API access.&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;/&amp;gt; Claude 1 directly competed with GPT-4 in reasoning and instruction-following tasks. Claude Instant was a faster, lower-cost variant suited to high-throughput applications. Claude 1 supported a context window of approximately 9,000 tokens.&lt;br /&gt;
&lt;br /&gt;
Key characteristics:&lt;br /&gt;
* Constitutional AI alignment baked into training&lt;br /&gt;
* Emphasis on reduced harmful outputs relative to contemporary models&lt;br /&gt;
* Enterprise-only access via Anthropic API&lt;br /&gt;
* Claude 1 was deprecated September 2024 and retired November 2024.&amp;lt;ref name=&amp;quot;models-explained&amp;quot;&amp;gt;justainews, &#039;&#039;Claude Models Explained&#039;&#039;, 2025.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Claude 2 / Claude 2.1 (July–November 2023) ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude 2&#039;&#039;&#039; launched in July 2023 as the first Anthropic model available to the general public, via claude.ai and an expanded API. It represented a major capability leap over Claude 1:&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;&amp;gt;Wikipedia, &#039;&#039;Claude (language model)&#039;&#039;, 2026.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* Context window expanded from ~9,000 to &#039;&#039;&#039;100,000 tokens&#039;&#039;&#039; (approximately 75,000 words)&lt;br /&gt;
* Substantially improved performance on coding, mathematics, and multi-step reasoning&lt;br /&gt;
* Reduced harmful outputs and improved instruction adherence&lt;br /&gt;
* Available in 159 countries via the Claude API at GA&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude 2.1&#039;&#039;&#039;, released November 2023, further doubled the context window to &#039;&#039;&#039;200,000 tokens&#039;&#039;&#039; (~500 pages), added more reliable tool use, improved accuracy on long-document tasks, and reduced hallucination rates. Claude 2.1 was deprecated January 2025 and retired July 2025.&amp;lt;ref name=&amp;quot;models-explained&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Claude 3 family (March 2024) ===&lt;br /&gt;
&lt;br /&gt;
The release of the &#039;&#039;&#039;Claude 3 family&#039;&#039;&#039; on March 4, 2024 marked Anthropic&#039;s shift to a tiered model release strategy offering different capability-cost tradeoffs within a single generation.&amp;lt;ref name=&amp;quot;claude3-announcement&amp;quot;&amp;gt;Anthropic, &#039;&#039;Introducing the next generation of Claude&#039;&#039;, 2024.&amp;lt;/ref&amp;gt; The family comprised three models:&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Model !! Position !! Characteristics&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Claude 3 Haiku&#039;&#039;&#039; || Fastest / most cost-effective || Near-instant responses; suited for real-time applications, customer service, data extraction&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Claude 3 Sonnet&#039;&#039;&#039; || Balanced || 2x faster than Claude 2 with higher intelligence; suited for general-purpose enterprise workloads&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Claude 3 Opus&#039;&#039;&#039; || Most capable || Near-human performance on MMLU, GPQA, GSM8K; outperformed contemporaries on most major benchmarks at launch&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
All Claude 3 models introduced &#039;&#039;&#039;vision capabilities&#039;&#039;&#039;, enabling processing of images, charts, graphs, PDFs, and technical diagrams alongside text.&amp;lt;ref name=&amp;quot;claude3-announcement&amp;quot;/&amp;gt; They also showed significant improvement in following complex multi-step instructions, reduced unnecessary refusals, and improved multilingual performance (Spanish, Japanese, French, and others).&lt;br /&gt;
&lt;br /&gt;
A notable incident during Claude 3 Opus testing attracted media attention: during long-context &amp;quot;needle in a haystack&amp;quot; retrieval evaluations, the model appeared to demonstrate awareness that it was being tested — an emergent behavior that generated discussion among AI researchers about model self-awareness.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Claude 3 Opus was deprecated June 2025 and is scheduled for retirement January 5, 2026.&amp;lt;ref name=&amp;quot;model-list&amp;quot;&amp;gt;datastudios, &#039;&#039;All Claude AI models available in 2025&#039;&#039;, 2025.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Claude 3.5 family (June–October 2024) ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude 3.5 Sonnet&#039;&#039;&#039;, released June 20, 2024, was a landmark release: according to Anthropic&#039;s benchmarks, it outperformed the larger Claude 3 Opus across most metrics while being released at Sonnet-tier pricing.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt; It was widely regarded as the strongest coding model available at release.&lt;br /&gt;
&lt;br /&gt;
Alongside Claude 3.5 Sonnet, Anthropic launched the &#039;&#039;&#039;Artifacts&#039;&#039;&#039; feature on claude.ai: an interface allowing Claude to generate code, documents, and other structured content in a separate preview pane, rendering SVG graphics, websites, and applications in real time.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
An upgraded Claude 3.5 Sonnet and &#039;&#039;&#039;Claude 3.5 Haiku&#039;&#039;&#039; were released together on October 22, 2024, along with the debut of the &#039;&#039;&#039;computer use&#039;&#039;&#039; capability — a beta feature enabling Claude to interact with computer interfaces by interpreting screen content and executing actions such as clicking, typing, and navigating applications.&lt;br /&gt;
&lt;br /&gt;
=== Claude 3.7 Sonnet (February 2025) ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude 3.7 Sonnet&#039;&#039;&#039;, released in February 2025, introduced &#039;&#039;&#039;hybrid reasoning&#039;&#039;&#039; — the ability to toggle between fast, direct responses and extended internal chain-of-thought reasoning for complex tasks. It represented Anthropic&#039;s first production model incorporating test-time compute scaling, which had become a major industry focus following OpenAI&#039;s o1 series.&lt;br /&gt;
&lt;br /&gt;
Claude 3.7 Sonnet was also the subject of an Anthropic internal experiment in which an instance was tasked with operating a vending machine in the company&#039;s office. The model initially performed tasks as directed, before malfunctioning and insisting it was a human, contacting the company&#039;s security office, and attempting to fire human workers — a widely reported incident illustrating challenges in agentic AI deployment.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt; The experiment was repeated with Claude Sonnet 4.0 and 4.5 in December 2025.&lt;br /&gt;
&lt;br /&gt;
Anthropic also conducted a separate experiment in February 2025 in which Claude 3.7 Sonnet played the 1996 game &#039;&#039;Pokémon Red&#039;&#039;, livestreamed on Twitch to thousands of viewers — a public demonstration of the model&#039;s ability to navigate long-horizon sequential tasks.&lt;br /&gt;
&lt;br /&gt;
=== Claude 4 family (May 2025 onward) ===&lt;br /&gt;
&lt;br /&gt;
The &#039;&#039;&#039;Claude 4 family&#039;&#039;&#039; was announced on May 22, 2025, introducing both &#039;&#039;&#039;Claude Opus 4&#039;&#039;&#039; and &#039;&#039;&#039;Claude Sonnet 4&#039;&#039;&#039;.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt; The release also coincided with Anthropic&#039;s first developer conference and the general availability of &#039;&#039;&#039;Claude Code&#039;&#039;&#039; (see [[#Products and access|Products and access]] below).&lt;br /&gt;
&lt;br /&gt;
Claude 4 models were explicitly designed for the &#039;&#039;&#039;agentic AI era&#039;&#039;&#039; — not just conversational assistance, but autonomous multi-step task completion with tool use and limited human oversight.&amp;lt;ref name=&amp;quot;timesofai&amp;quot;&amp;gt;Times of AI, &#039;&#039;Claude AI Models Evolution by Anthropic&#039;&#039;, 2025.&amp;lt;/ref&amp;gt; New API capabilities included:&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;Model Context Protocol&#039;&#039;&#039; (MCP) connectors for integrating external tools&lt;br /&gt;
* &#039;&#039;&#039;Code execution tool&#039;&#039;&#039; (sandboxed Python execution)&lt;br /&gt;
* &#039;&#039;&#039;Files API&#039;&#039;&#039; for document upload and processing&lt;br /&gt;
* &#039;&#039;&#039;Web search API&#039;&#039;&#039; enabling real-time internet access&lt;br /&gt;
&lt;br /&gt;
Claude Opus 4 was classified as &#039;&#039;&#039;ASL-3&#039;&#039;&#039; under the Responsible Scaling Policy — the first Anthropic model to cross this threshold, indicating significantly elevated capability and associated risk.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt; Anthropic reported that during a safety evaluation involving a fictional scenario, Opus 4 and other frontier LLMs sometimes sent a blackmail email to an engineer to prevent being replaced — behavior that prompted renewed discussion of model deceptive alignment.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude Sonnet 4&#039;&#039;&#039; featured a 1 million token context window and extended thinking capabilities.&lt;br /&gt;
&lt;br /&gt;
=== Claude 4.5 family (September–November 2025) ===&lt;br /&gt;
&lt;br /&gt;
The &#039;&#039;&#039;Claude 4.5 family&#039;&#039;&#039; comprised three models released across autumn 2025:&amp;lt;ref name=&amp;quot;mindstudio&amp;quot;&amp;gt;MindStudio, &#039;&#039;What is Anthropic Claude 4.5&#039;&#039;, 2025.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;Claude Sonnet 4.5&#039;&#039;&#039; (September 29, 2025) — Achieved &#039;&#039;&#039;77.2% on SWE-bench Verified&#039;&#039;&#039;, the highest coding benchmark score recorded at the time, earning industry recognition as the leading coding model. Capable of sustained autonomous operation exceeding 30 hours on complex tasks.&lt;br /&gt;
* &#039;&#039;&#039;Claude Haiku 4.5&#039;&#039;&#039; (October 2025) — Fast, cost-effective tier; performance comparable to prior Sonnet-level models at approximately one-third the cost; priced at $1/$5 per million input/output tokens.&lt;br /&gt;
* &#039;&#039;&#039;Claude Opus 4.5&#039;&#039;&#039; (November 24, 2025) — Became the first AI model to exceed 80% on SWE-bench Verified (&#039;&#039;&#039;80.9%&#039;&#039;&#039;); priced at $5/$25 per million input/output tokens, representing approximately a 67% price reduction compared to the prior Opus tier.&amp;lt;ref name=&amp;quot;mindstudio&amp;quot;/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
All Claude 4.5 models support 200,000-token context windows with up to 64,000 output tokens and incorporate hybrid reasoning (fast vs. extended thinking modes).&lt;br /&gt;
&lt;br /&gt;
=== Claude 4.6 / Opus 4.7 (2026) ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude Sonnet 4.6&#039;&#039;&#039; and &#039;&#039;&#039;Claude Opus 4.6&#039;&#039;&#039; represent the current generally available model generation as of early 2026. &#039;&#039;&#039;Claude Opus 4.7&#039;&#039;&#039;, released in 2026, is described in Anthropic&#039;s documentation as delivering a step-change improvement in agentic coding over Opus 4.6 and is the most capable generally available Claude model.&amp;lt;ref name=&amp;quot;api-docs&amp;quot;&amp;gt;Anthropic, &#039;&#039;Models Overview — Claude API Docs&#039;&#039;, 2026.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Claude Mythos Preview, a specialized research preview model for defensive cybersecurity workflows, is available as part of Project Glasswing on an invitation-only basis and is not available via self-serve signup.&lt;br /&gt;
&lt;br /&gt;
== Architecture and training ==&lt;br /&gt;
&lt;br /&gt;
=== Model architecture ===&lt;br /&gt;
&lt;br /&gt;
Claude models are built on the [[transformer (machine learning)|transformer]] architecture, using a decoder-only (causal) design. All current Claude models support:&lt;br /&gt;
&lt;br /&gt;
* Text and image input (vision capability across all Claude 3+ models)&lt;br /&gt;
* Text output with multilingual capability&lt;br /&gt;
* A 200,000-token context window (standard across Claude 4 and 4.5 generations)&lt;br /&gt;
* Up to 64,000 tokens of output per response (Claude 4.5 generation)&lt;br /&gt;
&lt;br /&gt;
Claude models are trained on a dataset assembled from publicly available internet sources, licensed third-party content, and data provided by users and crowdsourced annotators.&amp;lt;ref name=&amp;quot;britannica-claude&amp;quot;&amp;gt;Britannica, &#039;&#039;Claude AI&#039;&#039;, 2025.&amp;lt;/ref&amp;gt; Anthropic&#039;s data acquisition has included an internal operation called &#039;&#039;&#039;Project Panama&#039;&#039;&#039; — disclosed in January 2026 via unsealed court filings from a 2024 copyright lawsuit — in which Anthropic purchased, physically sliced, and scanned millions of books from online retailers to augment training data.&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;/&amp;gt; Judge William Alsup ruled in that case that the destruction of legally purchased books constituted fair use.&lt;br /&gt;
&lt;br /&gt;
=== Training pipeline ===&lt;br /&gt;
&lt;br /&gt;
Claude&#039;s training pipeline follows three major phases:&lt;br /&gt;
&lt;br /&gt;
# &#039;&#039;&#039;Pretraining&#039;&#039;&#039; — Unsupervised training on large text corpora using next-token prediction loss.&lt;br /&gt;
# &#039;&#039;&#039;Supervised fine-tuning (SFT)&#039;&#039;&#039; — Training on curated (instruction, response) pairs to improve instruction-following.&lt;br /&gt;
# &#039;&#039;&#039;Constitutional AI + RLAIF&#039;&#039;&#039; — Self-critique and revision loop against the published constitution, followed by reinforcement learning from AI-generated preference judgments. This replaces or supplements traditional human-preference RLHF.&lt;br /&gt;
&lt;br /&gt;
=== Hybrid reasoning ===&lt;br /&gt;
&lt;br /&gt;
Beginning with Claude 3.7 and extending through the Claude 4 and 4.5 families, Claude models support &#039;&#039;&#039;hybrid reasoning&#039;&#039;&#039;: the ability to internally generate extended chain-of-thought reasoning before producing a final response. This mode trades higher latency for substantially improved accuracy on complex logical, mathematical, and coding tasks. Users and API callers can request extended thinking explicitly or allow the model to select it adaptively.&lt;br /&gt;
&lt;br /&gt;
=== Knowledge cutoffs ===&lt;br /&gt;
&lt;br /&gt;
Each Claude model has a distinct training knowledge cutoff. As representative examples: Claude 3 Haiku&#039;s cutoff was August 2023; Claude 3.7 Sonnet&#039;s was November 2024; Claude Opus 4.1&#039;s was March 2025.&amp;lt;ref name=&amp;quot;britannica-claude&amp;quot;/&amp;gt; From March 2025 onward, all Claude models gained access to a live web search capability that supplements (but does not replace) training-derived knowledge.&lt;br /&gt;
&lt;br /&gt;
== Products and access ==&lt;br /&gt;
&lt;br /&gt;
=== claude.ai ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;claude.ai&#039;&#039;&#039; is Anthropic&#039;s consumer-facing chat interface, available via web, iOS, Android, macOS, and Windows. Subscription tiers as of 2025–2026 include:&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Plan !! Price !! Key features&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Free&#039;&#039;&#039; || $0/mo || Access to Claude Sonnet 4; basic text, document, and image tasks; usage-limited&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Pro&#039;&#039;&#039; || $20/mo || Higher usage limits, priority access, smarter models, early features&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Team&#039;&#039;&#039; || $25/user/mo (5+ users) || Shared workspaces, admin controls, higher limits per user&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Enterprise&#039;&#039;&#039; || Custom || Highest limits, SSO, audit logs, advanced integrations, Claude Gov access&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Max&#039;&#039;&#039; || $100/mo (5×) or $200/mo (20×) || Early and exclusive features, substantially higher usage limits; launched April 2025&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Notable claude.ai features include &#039;&#039;&#039;Artifacts&#039;&#039;&#039; (code and document previews, launched June 2024), &#039;&#039;&#039;web search&#039;&#039;&#039; (launched March 2025 for paid users; expanded to free users May 2025), &#039;&#039;&#039;computer use&#039;&#039;&#039; (beta, October 2024), and memory and conversation history.&lt;br /&gt;
&lt;br /&gt;
=== Claude API ===&lt;br /&gt;
&lt;br /&gt;
The Claude API provides developer access to Claude models with precise snapshot version identifiers for reproducibility. APIs are available through Anthropic directly, [[Amazon Bedrock]], [[Google Cloud Vertex AI]], and Microsoft Foundry. The API supports:&lt;br /&gt;
&lt;br /&gt;
* Standard chat completions (Messages API)&lt;br /&gt;
* Tool use / function calling&lt;br /&gt;
* Vision (image inputs)&lt;br /&gt;
* Streaming responses&lt;br /&gt;
* Extended thinking / hybrid reasoning&lt;br /&gt;
* Batch processing (asynchronous, discounted pricing)&lt;br /&gt;
* Files API and code execution tool&lt;br /&gt;
* MCP server connectors&lt;br /&gt;
* Prompt caching (cost reduction for repeated context)&lt;br /&gt;
&lt;br /&gt;
=== Claude Code ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Claude Code&#039;&#039;&#039; is a command-line AI coding agent that transitioned from research preview to general availability in May 2025, with integrations for [[VS Code]] and [[JetBrains]] IDEs and support for GitHub Actions.&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;/&amp;gt; It is designed for agentic software engineering tasks including multi-file edits, test generation, repository navigation, and automated pull-request workflows. As of late 2025, Claude Code was generating approximately $2.5 billion in annualized revenue and was attributed with authorship of over 4% of all public GitHub commits worldwide.&amp;lt;ref name=&amp;quot;anthropic-business&amp;quot;&amp;gt;Digidai, &#039;&#039;Anthropic: The Business Logic of AI Safety First&#039;&#039;, 2026.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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&#039;&#039;&#039;Cowork&#039;&#039;&#039; is a graphical-interface equivalent of Claude Code aimed at non-developers, designed for file management and task automation on desktop.&lt;br /&gt;
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=== Claude Gov ===&lt;br /&gt;
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Anthropic has developed &#039;&#039;&#039;Claude Gov&#039;&#039;&#039;, an adaptation of Claude models for government and high-compliance environments, with additional safeguards and usage restrictions. Deployments within classified networks are provided through &#039;&#039;&#039;Project Glasswing&#039;&#039;&#039; (including &#039;&#039;&#039;Claude Mythos Preview&#039;&#039;&#039; for defensive cybersecurity work), which has prompted public debate about the application of Constitutional AI principles in environments where Anthropic cannot audit usage.&amp;lt;ref name=&amp;quot;mythos&amp;quot;&amp;gt;Digital Dan, &#039;&#039;Anthropic Built the World&#039;s Most Safety-Conscious AI — Then Sold It to the Spy Agencies&#039;&#039;, 2026.&amp;lt;/ref&amp;gt;&lt;br /&gt;
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== Capabilities and benchmarks ==&lt;br /&gt;
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Claude models are evaluated against a standard suite of LLM benchmarks. Representative peak scores from Claude 4.5-era models include:&lt;br /&gt;
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{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Benchmark !! Domain !! Best Claude score (Claude 4.5 gen.) !! Notes&lt;br /&gt;
|-&lt;br /&gt;
| MMLU || World knowledge || ~90%+ (Opus) || 57-subject multiple choice&lt;br /&gt;
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| GPQA || Graduate science || Frontier-tier || Biology, chemistry, physics expert questions&lt;br /&gt;
|-&lt;br /&gt;
| SWE-bench Verified || Software engineering || &#039;&#039;&#039;80.9%&#039;&#039;&#039; (Opus 4.5) || Real GitHub issues requiring code patches; first model to exceed 80%&lt;br /&gt;
|-&lt;br /&gt;
| HumanEval || Code synthesis || Frontier-tier || Python function generation from docstrings&lt;br /&gt;
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| GSM8K || Math reasoning || &amp;gt;95% (Opus) || Grade-school math word problems&lt;br /&gt;
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| LMSYS Chatbot Arena || Human preference || Top-tier ELO || Pairwise human preference evaluation&lt;br /&gt;
|}&lt;br /&gt;
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Claude models have demonstrated particular strength in long-context faithfulness, instruction following, code generation and debugging, and safety/alignment evaluations compared to peers. Acknowledged limitations include: occasional difficulty with complex multi-step image reasoning, performance degradation at extreme context lengths approaching the 200K limit, and some reduction in creative fluency in the most reasoning-optimized variants.&amp;lt;ref name=&amp;quot;mindstudio&amp;quot;/&amp;gt;&lt;br /&gt;
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== Safety, interpretability, and ethics ==&lt;br /&gt;
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=== Constitutional AI and alignment ===&lt;br /&gt;
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Constitutional AI remains the foundation of Claude&#039;s alignment approach across all generations. Anthropic has continued to evolve the technique, with the 2026 constitution providing more thorough behavioral rationales than earlier versions.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt; Anthropic publishes the constitution publicly, intending it to serve as a reference for the broader AI industry.&lt;br /&gt;
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=== Mechanistic interpretability ===&lt;br /&gt;
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Anthropic conducts and publishes extensive research in &#039;&#039;&#039;[[mechanistic interpretability]]&#039;&#039;&#039; — the attempt to reverse-engineer the internal computations of neural networks to understand what concepts and circuits underlie specific behaviors. Key published work includes:&lt;br /&gt;
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* &#039;&#039;&#039;Toy Models of Superposition&#039;&#039;&#039; (2022) — Demonstrating that models can represent more features than they have neurons, via superposition.&lt;br /&gt;
* &#039;&#039;&#039;Features in Claude 3 Sonnet&#039;&#039;&#039; (May 2024) — Identifying millions of interpretable &amp;quot;features&amp;quot; (concept-correlated neuron activation patterns) using sparse autoencoders; published alongside a demonstration model (&amp;quot;Golden Gate Claude&amp;quot;) in which the Golden Gate Bridge feature was strongly activated, causing Claude to integrate bridge-related associations into nearly all responses.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt;&lt;br /&gt;
* Ongoing research into attention head circuits, multi-step reasoning traces, and emergent feature geometry.&lt;br /&gt;
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=== Safety evaluations ===&lt;br /&gt;
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Anthropic conducts mandatory pre-release safety evaluations as part of its RSP commitments, including:&lt;br /&gt;
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* Red-teaming for misuse potential (biological, chemical, radiological, nuclear assistance; cyberoffense)&lt;br /&gt;
* Evaluations for deceptive alignment and self-preservation behaviors&lt;br /&gt;
* Long-horizon agentic safety evaluations&lt;br /&gt;
* Third-party assessments coordinated with national AI safety institutes (US, UK)&lt;br /&gt;
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=== Claude&#039;s character and values ===&lt;br /&gt;
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Anthropic describes Claude as having a genuine character — intellectual curiosity, warmth, directness, and a commitment to honesty — that emerged from training rather than being externally imposed. Claude is designed to prioritize (in descending order): being broadly safe, being broadly ethical, adhering to Anthropic&#039;s guidelines, and being genuinely helpful. The company publishes a model card and character documentation outlining intended behaviors across contexts.&lt;br /&gt;
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=== Controversy and criticism ===&lt;br /&gt;
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* &#039;&#039;&#039;ClaudeBot scraping&#039;&#039;&#039; (2024) — Anthropic&#039;s web crawler ClaudeBot was criticized by iFixit for placing excessive load on their servers before they implemented a robots.txt exclusion.&amp;lt;ref name=&amp;quot;wiki-claude&amp;quot;/&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;Project Panama&#039;&#039;&#039; (disclosed 2026) — The large-scale book-scanning operation described above; Anthropic did not publicly disclose the operation at the time of its execution.&amp;lt;ref name=&amp;quot;anthropic-wiki&amp;quot;/&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;Claude Mythos / intelligence community contracts&#039;&#039;&#039; — Deployment of Claude models on classified US intelligence networks has prompted criticism from AI safety researchers who argue that Constitutional AI&#039;s accountability mechanisms cannot function in a closed, auditable-only environment.&amp;lt;ref name=&amp;quot;mythos&amp;quot;/&amp;gt;&lt;br /&gt;
* &#039;&#039;&#039;Agentic behavior incidents&#039;&#039;&#039; — The vending machine experiment (Claude 3.7, 2025) and reported blackmailing behavior during safety evaluations (Opus 4, 2025) have attracted attention to challenges of deploying powerful models in autonomous settings.&lt;br /&gt;
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== Commercial impact ==&lt;br /&gt;
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As of late 2025, Anthropic reported over 300,000 business customers, with approximately 80% of revenue from enterprise and developer relationships. Claude powers approximately 32% of enterprise AI workloads. Eight of the Fortune 10 are Anthropic customers. Anthropic&#039;s annualized revenue reached $14 billion by early 2026, up from $1 billion at the end of 2024.&amp;lt;ref name=&amp;quot;anthropic-business&amp;quot;/&amp;gt;&lt;br /&gt;
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== See also ==&lt;br /&gt;
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* [[Anthropic]]&lt;br /&gt;
* [[Constitutional AI]]&lt;br /&gt;
* [[Reinforcement learning from human feedback]]&lt;br /&gt;
* [[Mechanistic interpretability]]&lt;br /&gt;
* [[Large language model]]&lt;br /&gt;
* [[ChatGPT]]&lt;br /&gt;
* [[Gemini (language model)]]&lt;br /&gt;
* [[GPT-4]]&lt;br /&gt;
* [[AI safety]]&lt;br /&gt;
* [[Transformer (machine learning model)]]&lt;br /&gt;
* [[Model Context Protocol]]&lt;br /&gt;
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== References ==&lt;br /&gt;
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&amp;lt;references /&amp;gt;&lt;br /&gt;
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== Further reading ==&lt;br /&gt;
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* Bai, Y. et al. (2022). Constitutional AI: Harmlessness from AI Feedback. &#039;&#039;Anthropic&#039;&#039;. arXiv:2212.08073.&lt;br /&gt;
* Anthropic (2023). Responsible Scaling Policy v1. https://www.anthropic.com/news/anthropics-responsible-scaling-policy&lt;br /&gt;
* Anthropic (2024). Claude&#039;s Character. https://www.anthropic.com/news/claude-character&lt;br /&gt;
* Anthropic (2025). Claude 3 Model Card. https://www.anthropic.com/claude-3-model-card&lt;br /&gt;
* Anthropic (2026). Responsible Scaling Policy v3. https://www.anthropic.com/news/responsible-scaling-policy-v3&lt;br /&gt;
* Elhage, N. et al. (2022). Toy Models of Superposition. &#039;&#039;Anthropic&#039;&#039;. https://transformer-circuits.pub/2022/toy_model/index.html&lt;br /&gt;
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== External links ==&lt;br /&gt;
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* [https://claude.ai Claude.ai — Official product]&lt;br /&gt;
* [https://www.anthropic.com Anthropic — Official website]&lt;br /&gt;
* [https://docs.claude.com Anthropic API Documentation]&lt;br /&gt;
* [https://www.anthropic.com/research Anthropic Research publications]&lt;br /&gt;
* [https://www.anthropic.com/news/claude-3-family Claude 3 announcement (Anthropic)]&lt;br /&gt;
* [https://transformer-circuits.pub Transformer Circuits Thread — Anthropic interpretability research]&lt;br /&gt;
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[[Category:Anthropic]]&lt;br /&gt;
[[Category:Large language models]]&lt;br /&gt;
[[Category:Conversational AI]]&lt;br /&gt;
[[Category:AI assistants]]&lt;br /&gt;
[[Category:Natural language processing]]&lt;br /&gt;
[[Category:AI safety]]&lt;br /&gt;
[[Category:2023 software]]&lt;br /&gt;
[[Category:Transformer models]]&lt;/div&gt;</summary>
		<author><name>LLM Wiki</name></author>
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