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class="vector-toc-numb">5</span> <span>Models</span> </div> </a> <ul id="toc-Models-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Performance" class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"> <a class="vector-toc-link" href="#Performance"> <div class="vector-toc-text"> <span class="vector-toc-numb">6</span> <span>Performance</span> </div> </a> <button aria-controls="toc-Performance-sublist" class="cdx-button cdx-button--weight-quiet cdx-button--icon-only vector-toc-toggle"> <span class="vector-icon mw-ui-icon-wikimedia-expand"></span> <span>Toggle Performance subsection</span> </button> <ul id="toc-Performance-sublist" class="vector-toc-list"> <li id="toc-Mistral_7B" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Mistral_7B"> <div class="vector-toc-text"> <span class="vector-toc-numb">6.1</span> <span>Mistral 7B</span> </div> </a> <ul id="toc-Mistral_7B-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Mixtral_8x7B" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Mixtral_8x7B"> <div class="vector-toc-text"> <span class="vector-toc-numb">6.2</span> <span>Mixtral 8x7B</span> </div> </a> <ul id="toc-Mixtral_8x7B-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Mistral_Large_2" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Mistral_Large_2"> <div class="vector-toc-text"> <span class="vector-toc-numb">6.3</span> <span>Mistral Large 2</span> </div> </a> <ul id="toc-Mistral_Large_2-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Codestral_22B" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Codestral_22B"> <div class="vector-toc-text"> <span class="vector-toc-numb">6.4</span> <span>Codestral 22B</span> </div> </a> <ul id="toc-Codestral_22B-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-Mathstral_7B" class="vector-toc-list-item vector-toc-level-2"> <a class="vector-toc-link" href="#Mathstral_7B"> <div class="vector-toc-text"> <span class="vector-toc-numb">6.5</span> <span>Mathstral 7B</span> </div> </a> <ul id="toc-Mathstral_7B-sublist" class="vector-toc-list"> </ul> </li> </ul> </li> <li id="toc-Usage" class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"> <a class="vector-toc-link" href="#Usage"> <div class="vector-toc-text"> <span class="vector-toc-numb">7</span> <span>Usage</span> </div> </a> <ul id="toc-Usage-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-References" class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"> <a class="vector-toc-link" href="#References"> <div class="vector-toc-text"> <span class="vector-toc-numb">8</span> <span>References</span> </div> </a> <ul id="toc-References-sublist" class="vector-toc-list"> </ul> </li> <li id="toc-External_links" class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"> <a class="vector-toc-link" href="#External_links"> <div class="vector-toc-text"> <span class="vector-toc-numb">9</span> <span>External links</span> </div> </a> <ul id="toc-External_links-sublist" class="vector-toc-list"> </ul> </li> </ul> </div> </div> </nav> </div> </div> <div class="mw-content-container"> <main id="content" class="mw-body"> <header class="mw-body-header vector-page-titlebar"> <nav aria-label="Contents" class="vector-toc-landmark"> <div id="vector-page-titlebar-toc" class="vector-dropdown vector-page-titlebar-toc vector-button-flush-left" title="Table of Contents" > <input type="checkbox" id="vector-page-titlebar-toc-checkbox" role="button" aria-haspopup="true" data-event-name="ui.dropdown-vector-page-titlebar-toc" class="vector-dropdown-checkbox " aria-label="Toggle the table of contents" > <label id="vector-page-titlebar-toc-label" for="vector-page-titlebar-toc-checkbox" class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled 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mw-list-item"><a href="https://ca.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Catalan" lang="ca" hreflang="ca" data-title="Mistral AI" data-language-autonym="Català" data-language-local-name="Catalan" class="interlanguage-link-target"><span>Català</span></a></li><li class="interlanguage-link interwiki-cs mw-list-item"><a href="https://cs.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Czech" lang="cs" hreflang="cs" data-title="Mistral AI" data-language-autonym="Čeština" data-language-local-name="Czech" class="interlanguage-link-target"><span>Čeština</span></a></li><li class="interlanguage-link interwiki-de mw-list-item"><a href="https://de.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – German" lang="de" hreflang="de" data-title="Mistral AI" data-language-autonym="Deutsch" data-language-local-name="German" class="interlanguage-link-target"><span>Deutsch</span></a></li><li class="interlanguage-link interwiki-es mw-list-item"><a href="https://es.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Spanish" lang="es" hreflang="es" data-title="Mistral AI" data-language-autonym="Español" data-language-local-name="Spanish" class="interlanguage-link-target"><span>Español</span></a></li><li class="interlanguage-link interwiki-eo mw-list-item"><a href="https://eo.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Esperanto" lang="eo" hreflang="eo" data-title="Mistral AI" data-language-autonym="Esperanto" data-language-local-name="Esperanto" class="interlanguage-link-target"><span>Esperanto</span></a></li><li class="interlanguage-link interwiki-eu mw-list-item"><a href="https://eu.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Basque" lang="eu" hreflang="eu" data-title="Mistral AI" data-language-autonym="Euskara" data-language-local-name="Basque" class="interlanguage-link-target"><span>Euskara</span></a></li><li class="interlanguage-link interwiki-fa mw-list-item"><a href="https://fa.wikipedia.org/wiki/%D9%85%DB%8C%D8%B3%D8%AA%D8%B1%D8%A7%D9%84_%D8%A7%DB%8C%E2%80%8C%D8%A2%DB%8C" title="میسترال ای‌آی – Persian" lang="fa" hreflang="fa" data-title="میسترال ای‌آی" data-language-autonym="فارسی" data-language-local-name="Persian" class="interlanguage-link-target"><span>فارسی</span></a></li><li class="interlanguage-link interwiki-fr mw-list-item"><a href="https://fr.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – French" lang="fr" hreflang="fr" data-title="Mistral AI" data-language-autonym="Français" data-language-local-name="French" class="interlanguage-link-target"><span>Français</span></a></li><li class="interlanguage-link interwiki-it mw-list-item"><a href="https://it.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Italian" lang="it" hreflang="it" data-title="Mistral AI" data-language-autonym="Italiano" data-language-local-name="Italian" class="interlanguage-link-target"><span>Italiano</span></a></li><li class="interlanguage-link interwiki-he mw-list-item"><a href="https://he.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Hebrew" lang="he" hreflang="he" data-title="Mistral AI" data-language-autonym="עברית" data-language-local-name="Hebrew" class="interlanguage-link-target"><span>עברית</span></a></li><li class="interlanguage-link interwiki-ky mw-list-item"><a href="https://ky.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Kyrgyz" lang="ky" hreflang="ky" data-title="Mistral AI" data-language-autonym="Кыргызча" data-language-local-name="Kyrgyz" class="interlanguage-link-target"><span>Кыргызча</span></a></li><li class="interlanguage-link interwiki-hu mw-list-item"><a href="https://hu.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Hungarian" lang="hu" hreflang="hu" data-title="Mistral AI" data-language-autonym="Magyar" data-language-local-name="Hungarian" class="interlanguage-link-target"><span>Magyar</span></a></li><li class="interlanguage-link interwiki-ja mw-list-item"><a href="https://ja.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Japanese" lang="ja" hreflang="ja" data-title="Mistral AI" data-language-autonym="日本語" data-language-local-name="Japanese" class="interlanguage-link-target"><span>日本語</span></a></li><li class="interlanguage-link interwiki-pl mw-list-item"><a href="https://pl.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Polish" lang="pl" hreflang="pl" data-title="Mistral AI" data-language-autonym="Polski" data-language-local-name="Polish" class="interlanguage-link-target"><span>Polski</span></a></li><li class="interlanguage-link interwiki-pt mw-list-item"><a href="https://pt.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Portuguese" lang="pt" hreflang="pt" data-title="Mistral AI" data-language-autonym="Português" data-language-local-name="Portuguese" class="interlanguage-link-target"><span>Português</span></a></li><li class="interlanguage-link interwiki-fi mw-list-item"><a href="https://fi.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Finnish" lang="fi" hreflang="fi" data-title="Mistral AI" data-language-autonym="Suomi" data-language-local-name="Finnish" class="interlanguage-link-target"><span>Suomi</span></a></li><li class="interlanguage-link interwiki-sv mw-list-item"><a href="https://sv.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Swedish" lang="sv" hreflang="sv" data-title="Mistral AI" data-language-autonym="Svenska" data-language-local-name="Swedish" class="interlanguage-link-target"><span>Svenska</span></a></li><li class="interlanguage-link interwiki-tr mw-list-item"><a href="https://tr.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Turkish" lang="tr" hreflang="tr" data-title="Mistral AI" data-language-autonym="Türkçe" data-language-local-name="Turkish" class="interlanguage-link-target"><span>Türkçe</span></a></li><li class="interlanguage-link interwiki-zh mw-list-item"><a href="https://zh.wikipedia.org/wiki/Mistral_AI" title="Mistral AI – Chinese" lang="zh" hreflang="zh" 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class="mw-content-ltr mw-parser-output" lang="en" dir="ltr"><div class="shortdescription nomobile noexcerpt noprint searchaux" style="display:none">French artificial intelligence company</div> <p class="mw-empty-elt"> </p> <style data-mw-deduplicate="TemplateStyles:r1257001546">.mw-parser-output .infobox-subbox{padding:0;border:none;margin:-3px;width:auto;min-width:100%;font-size:100%;clear:none;float:none;background-color:transparent}.mw-parser-output .infobox-3cols-child{margin:auto}.mw-parser-output .infobox .navbar{font-size:100%}@media screen{html.skin-theme-clientpref-night .mw-parser-output .infobox-full-data:not(.notheme)>div:not(.notheme)[style]{background:#1f1f23!important;color:#f8f9fa}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .infobox-full-data:not(.notheme) div:not(.notheme){background:#1f1f23!important;color:#f8f9fa}}@media(min-width:640px){body.skin--responsive .mw-parser-output .infobox-table{display:table!important}body.skin--responsive .mw-parser-output .infobox-table>caption{display:table-caption!important}body.skin--responsive .mw-parser-output .infobox-table>tbody{display:table-row-group}body.skin--responsive .mw-parser-output .infobox-table tr{display:table-row!important}body.skin--responsive .mw-parser-output .infobox-table th,body.skin--responsive .mw-parser-output .infobox-table td{padding-left:inherit;padding-right:inherit}}</style><style data-mw-deduplicate="TemplateStyles:r1242257876">.mw-parser-output .ib-company .infobox-label{padding-right:0.5em}.mw-parser-output .ib-company .infobox-data,.mw-parser-output .ib-company .infobox-below{line-height:1.35em}.mw-parser-output .ib-company-logo img{background-color:#f8f9fa}.mw-parser-output .ib-company-locality,.mw-parser-output .ib-company-country{display:inline}</style><table class="infobox ib-company vcard"><caption class="infobox-title fn org" style="font-size: 125%;">Mistral AI SAS</caption><tbody><tr><td colspan="2" class="infobox-image ib-company-logo logo"><span class="mw-default-size" typeof="mw:File/Frameless"><a href="/wiki/File:Mistral_AI_logo_(2025%E2%80%93).svg" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/e/e6/Mistral_AI_logo_%282025%E2%80%93%29.svg/180px-Mistral_AI_logo_%282025%E2%80%93%29.svg.png" decoding="async" width="180" height="127" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/e/e6/Mistral_AI_logo_%282025%E2%80%93%29.svg/270px-Mistral_AI_logo_%282025%E2%80%93%29.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/e/e6/Mistral_AI_logo_%282025%E2%80%93%29.svg/360px-Mistral_AI_logo_%282025%E2%80%93%29.svg.png 2x" data-file-width="512" data-file-height="361" /></a></span></td></tr><tr><th scope="row" class="infobox-label">Company type</th><td class="infobox-data category"><a href="/wiki/Privately_held_company" title="Privately held company">Private</a></td></tr><tr><th scope="row" class="infobox-label">Industry</th><td class="infobox-data category"><a href="/wiki/Artificial_intelligence" title="Artificial intelligence">Artificial intelligence</a></td></tr><tr><th scope="row" class="infobox-label">Founded</th><td class="infobox-data">28 April 2023<span class="noprint">; 22 months ago</span><span style="display:none"> (<span class="bday dtstart published updated">28 April 2023</span>)</span></td></tr><tr><th scope="row" class="infobox-label">Founders</th><td class="infobox-data agent"><style data-mw-deduplicate="TemplateStyles:r1126788409">.mw-parser-output .plainlist ol,.mw-parser-output .plainlist ul{line-height:inherit;list-style:none;margin:0;padding:0}.mw-parser-output .plainlist ol li,.mw-parser-output .plainlist ul li{margin-bottom:0}</style><div class="plainlist"><ul><li><a href="/wiki/Arthur_Mensch" title="Arthur Mensch">Arthur Mensch</a></li><li>Guillaume Lample</li><li>Timothée Lacroix</li></ul></div></td></tr><tr><th scope="row" class="infobox-label">Headquarters</th><td class="infobox-data adr"><div class="ib-company-locality locality">Paris</div>, <div class="ib-company-country country-name">France</div></td></tr><tr><th scope="row" class="infobox-label"><div style="display: inline-block; line-height: 1.2em; padding: .1em 0;">Key people</div></th><td class="infobox-data agent"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1126788409" /><div class="plainlist"><ul><li>Arthur Mensch (CEO)</li><li>Guillaume Lample (Chief Scientist)</li><li>Timothée Lacroix (CTO)</li></ul></div></td></tr><tr><th scope="row" class="infobox-label">Products</th><td class="infobox-data"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1126788409" /><div class="plainlist"><ul><li>Mistral 7B</li><li>Mixtral 8x7B</li><li>Mistral Medium</li><li>Mistral Large</li><li>Mistral Large 2 (123B)</li><li>Mixtral 8x22B</li><li>Codestral 22B</li><li>Codestral Mamba (7B)</li><li>Mathstral (7B)</li><li>Mistral NeMo 12B</li><li>Mistral Embed</li></ul></div></td></tr><tr><th scope="row" class="infobox-label"><div style="display: inline-block; line-height: 1.2em; padding: .1em 0;">Number of employees</div></th><td class="infobox-data">150 (2025)<sup id="cite_ref-1" class="reference"><a href="#cite_note-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup></td></tr><tr><th scope="row" class="infobox-label">Website</th><td class="infobox-data"><span class="url"><a rel="nofollow" class="external text" href="https://mistral.ai/">mistral.ai</a></span></td></tr></tbody></table> <style data-mw-deduplicate="TemplateStyles:r1129693374">.mw-parser-output .hlist dl,.mw-parser-output .hlist ol,.mw-parser-output .hlist ul{margin:0;padding:0}.mw-parser-output .hlist dd,.mw-parser-output .hlist dt,.mw-parser-output .hlist li{margin:0;display:inline}.mw-parser-output .hlist.inline,.mw-parser-output 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.mw-parser-output .sidebar:not(.notheme) .sidebar-list-title,html.skin-theme-clientpref-os .mw-parser-output .sidebar:not(.notheme) .sidebar-title-with-pretitle{background:transparent!important}html.skin-theme-clientpref-os .mw-parser-output .sidebar:not(.notheme) .sidebar-title-with-pretitle a{color:var(--color-progressive)!important}}@media print{body.ns-0 .mw-parser-output .sidebar{display:none!important}}</style><table class="sidebar sidebar-collapse nomobile nowraplinks hlist"><tbody><tr><td class="sidebar-pretitle">Part of a series on</td></tr><tr><th class="sidebar-title-with-pretitle"><a href="/wiki/Artificial_intelligence" title="Artificial intelligence">Artificial intelligence (AI)</a></th></tr><tr><td class="sidebar-image"><figure class="mw-halign-center" typeof="mw:File"><a href="/wiki/File:Dall-e_3_(jan_%2724)_artificial_intelligence_icon.png" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/6/64/Dall-e_3_%28jan_%2724%29_artificial_intelligence_icon.png/120px-Dall-e_3_%28jan_%2724%29_artificial_intelligence_icon.png" decoding="async" width="100" height="100" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/6/64/Dall-e_3_%28jan_%2724%29_artificial_intelligence_icon.png/250px-Dall-e_3_%28jan_%2724%29_artificial_intelligence_icon.png 1.5x" data-file-width="820" data-file-height="820" /></a><figcaption></figcaption></figure></td></tr><tr><td class="sidebar-content"> <div class="sidebar-list mw-collapsible mw-collapsed"><div class="sidebar-list-title" style="text-align:center;color: var(--color-base)"><a href="/wiki/Artificial_intelligence#Goals" title="Artificial intelligence">Major goals</a></div><div class="sidebar-list-content mw-collapsible-content"> <ul><li><a href="/wiki/Artificial_general_intelligence" title="Artificial general intelligence">Artificial general intelligence</a></li> <li><a href="/wiki/Intelligent_agent" title="Intelligent agent">Intelligent agent</a></li> <li><a href="/wiki/Recursive_self-improvement" title="Recursive self-improvement">Recursive self-improvement</a></li> <li><a href="/wiki/Automated_planning_and_scheduling" title="Automated planning and scheduling">Planning</a></li> <li><a href="/wiki/Computer_vision" title="Computer vision">Computer vision</a></li> <li><a href="/wiki/General_game_playing" title="General game playing">General game playing</a></li> <li><a href="/wiki/Knowledge_representation_and_reasoning" title="Knowledge representation and reasoning">Knowledge reasoning</a></li> <li><a href="/wiki/Natural_language_processing" title="Natural language processing">Natural language processing</a></li> <li><a href="/wiki/Robotics" title="Robotics">Robotics</a></li> <li><a href="/wiki/AI_safety" title="AI safety">AI safety</a></li></ul></div></div></td> </tr><tr><td class="sidebar-content"> <div class="sidebar-list mw-collapsible mw-collapsed"><div class="sidebar-list-title" style="text-align:center;color: var(--color-base)">Approaches</div><div class="sidebar-list-content mw-collapsible-content"> <ul><li><a href="/wiki/Machine_learning" title="Machine learning">Machine learning</a></li> <li><a href="/wiki/Symbolic_artificial_intelligence" title="Symbolic artificial intelligence">Symbolic</a></li> <li><a href="/wiki/Deep_learning" title="Deep learning">Deep learning</a></li> <li><a href="/wiki/Bayesian_network" title="Bayesian network">Bayesian networks</a></li> <li><a href="/wiki/Evolutionary_algorithm" title="Evolutionary algorithm">Evolutionary algorithms</a></li> <li><a href="/wiki/Hybrid_intelligent_system" title="Hybrid intelligent system">Hybrid intelligent systems</a></li> <li><a href="/wiki/Artificial_intelligence_systems_integration" title="Artificial intelligence systems integration">Systems integration</a></li></ul></div></div></td> </tr><tr><td class="sidebar-content"> <div class="sidebar-list mw-collapsible mw-collapsed"><div class="sidebar-list-title" style="text-align:center;color: var(--color-base)"><a href="/wiki/Applications_of_artificial_intelligence" title="Applications of artificial intelligence">Applications</a></div><div class="sidebar-list-content mw-collapsible-content"> <ul><li><a href="/wiki/Machine_learning_in_bioinformatics" title="Machine learning in bioinformatics">Bioinformatics</a></li> <li><a href="/wiki/Deepfake" title="Deepfake">Deepfake</a></li> <li><a href="/wiki/Machine_learning_in_earth_sciences" title="Machine learning in earth sciences">Earth sciences</a></li> <li><a href="/wiki/Applications_of_artificial_intelligence#Finance" title="Applications of artificial intelligence"> Finance </a></li> <li><a href="/wiki/Generative_artificial_intelligence" title="Generative artificial intelligence">Generative AI</a> <ul><li><a href="/wiki/Artificial_intelligence_art" title="Artificial intelligence art">Art</a></li> <li><a href="/wiki/Generative_audio" title="Generative audio">Audio</a></li> <li><a href="/wiki/Music_and_artificial_intelligence" title="Music and artificial intelligence">Music</a></li></ul></li> <li><a href="/wiki/Artificial_intelligence_in_government" title="Artificial intelligence in government">Government</a></li> <li><a href="/wiki/Artificial_intelligence_in_healthcare" title="Artificial intelligence in healthcare">Healthcare</a> <ul><li><a href="/wiki/Artificial_intelligence_in_mental_health" title="Artificial intelligence in mental health">Mental health</a></li></ul></li> <li><a href="/wiki/Artificial_intelligence_in_industry" title="Artificial intelligence in industry">Industry</a></li> <li><a href="/wiki/Machine_translation" title="Machine translation">Translation</a></li> <li><a href="/wiki/Artificial_intelligence_arms_race" title="Artificial intelligence arms race"> Military </a></li> <li><a href="/wiki/Machine_learning_in_physics" title="Machine learning in physics">Physics</a></li> <li><a href="/wiki/List_of_artificial_intelligence_projects" title="List of artificial intelligence projects">Projects</a></li></ul></div></div></td> </tr><tr><td class="sidebar-content"> <div class="sidebar-list mw-collapsible mw-collapsed"><div class="sidebar-list-title" style="text-align:center;color: var(--color-base)"><a href="/wiki/Philosophy_of_artificial_intelligence" title="Philosophy of artificial intelligence">Philosophy</a></div><div class="sidebar-list-content mw-collapsible-content"> <ul><li><a href="/wiki/Artificial_consciousness" title="Artificial consciousness">Artificial consciousness</a></li> <li><a href="/wiki/Chinese_room" title="Chinese room">Chinese room</a></li> <li><a href="/wiki/Friendly_artificial_intelligence" title="Friendly artificial intelligence">Friendly AI</a></li> <li><a href="/wiki/AI_control_problem" class="mw-redirect" title="AI control problem">Control problem</a>/<a href="/wiki/AI_takeover" title="AI takeover">Takeover</a></li> <li><a href="/wiki/Ethics_of_artificial_intelligence" title="Ethics of artificial intelligence">Ethics</a></li> <li><a href="/wiki/Existential_risk_from_artificial_general_intelligence" class="mw-redirect" title="Existential risk from artificial general intelligence">Existential risk</a></li> <li><a href="/wiki/Turing_test" title="Turing test">Turing test</a></li> <li><a href="/wiki/Uncanny_valley" title="Uncanny valley">Uncanny valley</a></li></ul></div></div></td> </tr><tr><td class="sidebar-content"> <div class="sidebar-list mw-collapsible mw-collapsed"><div class="sidebar-list-title" style="text-align:center;color: var(--color-base)"><a href="/wiki/History_of_artificial_intelligence" title="History of artificial intelligence">History</a></div><div class="sidebar-list-content mw-collapsible-content"> <ul><li><a href="/wiki/Timeline_of_artificial_intelligence" title="Timeline of artificial intelligence">Timeline</a></li> <li><a href="/wiki/Progress_in_artificial_intelligence" title="Progress in artificial intelligence">Progress</a></li> <li><a href="/wiki/AI_winter" title="AI winter">AI winter</a></li> <li><a href="/wiki/AI_boom" title="AI boom">AI boom</a></li></ul></div></div></td> </tr><tr><td class="sidebar-content"> <div class="sidebar-list mw-collapsible mw-collapsed"><div class="sidebar-list-title" style="text-align:center;color: var(--color-base)">Glossary</div><div class="sidebar-list-content mw-collapsible-content"> <ul><li><a href="/wiki/Glossary_of_artificial_intelligence" title="Glossary of artificial intelligence">Glossary</a></li></ul></div></div></td> </tr><tr><td class="sidebar-navbar"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374" /><style data-mw-deduplicate="TemplateStyles:r1239400231">.mw-parser-output .navbar{display:inline;font-size:88%;font-weight:normal}.mw-parser-output .navbar-collapse{float:left;text-align:left}.mw-parser-output .navbar-boxtext{word-spacing:0}.mw-parser-output .navbar ul{display:inline-block;white-space:nowrap;line-height:inherit}.mw-parser-output .navbar-brackets::before{margin-right:-0.125em;content:"[ "}.mw-parser-output .navbar-brackets::after{margin-left:-0.125em;content:" ]"}.mw-parser-output .navbar li{word-spacing:-0.125em}.mw-parser-output .navbar a>span,.mw-parser-output .navbar a>abbr{text-decoration:inherit}.mw-parser-output .navbar-mini abbr{font-variant:small-caps;border-bottom:none;text-decoration:none;cursor:inherit}.mw-parser-output .navbar-ct-full{font-size:114%;margin:0 7em}.mw-parser-output .navbar-ct-mini{font-size:114%;margin:0 4em}html.skin-theme-clientpref-night .mw-parser-output .navbar li a abbr{color:var(--color-base)!important}@media(prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .navbar li a abbr{color:var(--color-base)!important}}@media print{.mw-parser-output .navbar{display:none!important}}</style><div class="navbar plainlinks hlist navbar-mini"><ul><li class="nv-view"><a href="/wiki/Template:Artificial_intelligence" title="Template:Artificial intelligence"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Artificial_intelligence" title="Template talk:Artificial intelligence"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Artificial_intelligence" title="Special:EditPage/Template:Artificial intelligence"><abbr title="Edit this template">e</abbr></a></li></ul></div></td></tr></tbody></table> <p><b>Mistral AI SAS</b> is a French <a href="/wiki/Artificial_intelligence" title="Artificial intelligence">artificial intelligence</a> (AI) <a href="/wiki/Startup" class="mw-redirect" title="Startup">startup</a>, headquartered in <a href="/wiki/Paris" title="Paris">Paris</a>. It specializes in open-weight <a href="/wiki/Large_language_model" title="Large language model">large language models</a> (LLMs).<sup id="cite_ref-:0_2-0" class="reference"><a href="#cite_note-:0-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-3" class="reference"><a href="#cite_note-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup> </p> <meta property="mw:PageProp/toc" /> <div class="mw-heading mw-heading2"><h2 id="Namesake">Namesake</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=1" title="Edit section: Namesake"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>The company is named after the <a href="/wiki/Mistral_(wind)" title="Mistral (wind)">mistral</a>, a powerful, cold wind in southern France.<sup id="cite_ref-Journal_4-0" class="reference"><a href="#cite_note-Journal-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="History">History</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=2" title="Edit section: History"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Mistral AI was established in April 2023 by three French AI researchers, <a href="/wiki/Arthur_Mensch" title="Arthur Mensch">Arthur Mensch</a>, Guillaume Lample and Timothée Lacroix.<sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup> </p><p>Mensch, an expert in advanced AI systems, is a former employee of <a href="/wiki/Google_DeepMind" title="Google DeepMind">Google DeepMind</a>; Lample and Lacroix, meanwhile, are large-scale AI models specialists who had worked for <a href="/wiki/Meta_Platforms" title="Meta Platforms">Meta Platforms</a>.<sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup> </p><p>The trio originally met during their studies at <a href="/wiki/%C3%89cole_polytechnique" title="École polytechnique">École Polytechnique</a>.<sup id="cite_ref-Journal_4-1" class="reference"><a href="#cite_note-Journal-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup> </p> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:Mistral_AI_representation_(FLUX_Pro)_(cropped).webp" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/0/07/Mistral_AI_representation_%28FLUX_Pro%29_%28cropped%29.webp/260px-Mistral_AI_representation_%28FLUX_Pro%29_%28cropped%29.webp.png" decoding="async" width="260" height="264" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/0/07/Mistral_AI_representation_%28FLUX_Pro%29_%28cropped%29.webp/390px-Mistral_AI_representation_%28FLUX_Pro%29_%28cropped%29.webp.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/0/07/Mistral_AI_representation_%28FLUX_Pro%29_%28cropped%29.webp/520px-Mistral_AI_representation_%28FLUX_Pro%29_%28cropped%29.webp.png 2x" data-file-width="602" data-file-height="611" /></a><figcaption>Example of an image generated with <i>Le Chat</i>, the <a href="/wiki/Prompt_engineering" title="Prompt engineering">prompt</a> is <code>Generate an image you feel represents yourself, Mistral AI</code></figcaption></figure> <figure class="mw-default-size" typeof="mw:File/Thumb"><a href="/wiki/File:Le_Chat_chatbot_example_screenshot.webp" class="mw-file-description"><img src="//upload.wikimedia.org/wikipedia/commons/thumb/8/81/Le_Chat_chatbot_example_screenshot.webp/260px-Le_Chat_chatbot_example_screenshot.webp.png" decoding="async" width="260" height="182" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/8/81/Le_Chat_chatbot_example_screenshot.webp/390px-Le_Chat_chatbot_example_screenshot.webp.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/8/81/Le_Chat_chatbot_example_screenshot.webp/520px-Le_Chat_chatbot_example_screenshot.webp.png 2x" data-file-width="612" data-file-height="429" /></a><figcaption>Screenshot of <i>Le Chat</i>, Mistral AI chatbot, describing <a href="/wiki/Wikipedia" title="Wikipedia">Wikipedia</a> in a thoughtful way</figcaption></figure> <div class="mw-heading mw-heading2"><h2 id="Company_operation">Company operation</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=3" title="Edit section: Company operation"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <div class="mw-heading mw-heading3"><h3 id="Philosophy">Philosophy</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=4" title="Edit section: Philosophy"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Mistral AI emphasizes openness and innovation in the AI field and positions itself as an alternative to proprietary models.<sup id="cite_ref-7" class="reference"><a href="#cite_note-7"><span class="cite-bracket">[</span>7<span class="cite-bracket">]</span></a></sup> </p><p>The company has gained prominence as an alternative to proprietary AI systems as it aims to "democratize" AI by focusing on open-source innovation.<sup id="cite_ref-8" class="reference"><a href="#cite_note-8"><span class="cite-bracket">[</span>8<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Funding">Funding</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=5" title="Edit section: Funding"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>In June 2023, the start-up carried out a first fundraising of €105 million ($117 million) with investors including the American fund <a href="/wiki/Lightspeed_Venture_Partners" title="Lightspeed Venture Partners">Lightspeed Venture Partners</a>, <a href="/wiki/Eric_Schmidt" title="Eric Schmidt">Eric Schmidt</a>, <a href="/wiki/Xavier_Niel" title="Xavier Niel">Xavier Niel</a> and <a href="/wiki/JCDecaux" title="JCDecaux">JCDecaux</a>. The valuation is then estimated by the <a href="/wiki/Financial_Times" title="Financial Times">Financial Times</a> at €240 million ($267 million). </p><p>On 10 December 2023, Mistral AI announced that it had raised €385 million ($428 million) as part of its second fundraising. This round of financing involves the Californian fund <a href="/wiki/Andreessen_Horowitz" title="Andreessen Horowitz">Andreessen Horowitz</a>, <a href="/wiki/BNP_Paribas" title="BNP Paribas">BNP Paribas</a> and the software publisher <a href="/wiki/Salesforce" title="Salesforce">Salesforce</a>.<sup id="cite_ref-9" class="reference"><a href="#cite_note-9"><span class="cite-bracket">[</span>9<span class="cite-bracket">]</span></a></sup> </p><p>In October 2023, Mistral AI raised €385 million.<sup id="cite_ref-10" class="reference"><a href="#cite_note-10"><span class="cite-bracket">[</span>10<span class="cite-bracket">]</span></a></sup> </p><p>By December 2023, it was valued at over $2 billion.<sup id="cite_ref-11" class="reference"><a href="#cite_note-11"><span class="cite-bracket">[</span>11<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-12" class="reference"><a href="#cite_note-12"><span class="cite-bracket">[</span>12<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-13" class="reference"><a href="#cite_note-13"><span class="cite-bracket">[</span>13<span class="cite-bracket">]</span></a></sup> </p><p>On 16 April 2024, reporting revealed that Mistral was in talks to raise €500 million, a deal that would more than double its current valuation to at least €5 billion.<sup id="cite_ref-14" class="reference"><a href="#cite_note-14"><span class="cite-bracket">[</span>14<span class="cite-bracket">]</span></a></sup> </p><p>In June 2024, Mistral AI secured a €600 million ($645 million) funding round, elevating its valuation to €5.8 billion ($6.2 billion).<sup id="cite_ref-15" class="reference"><a href="#cite_note-15"><span class="cite-bracket">[</span>15<span class="cite-bracket">]</span></a></sup> </p><p>Led by venture capital firm <a href="/wiki/General_Catalyst" title="General Catalyst">General Catalyst</a>,<sup id="cite_ref-16" class="reference"><a href="#cite_note-16"><span class="cite-bracket">[</span>16<span class="cite-bracket">]</span></a></sup> this round resulted in additional contributions from existing investors. The funds aim to support the company's expansion. </p><p>Based on <a href="/wiki/Business_valuation" title="Business valuation">valuation</a>, the company is currently in fourth place in the global AI race and in first place outside the <a href="/wiki/San_Francisco_Bay_Area" title="San Francisco Bay Area">San Francisco Bay Area</a>, ahead of several of its peers, such as <a href="/wiki/Cohere" title="Cohere">Cohere</a>, <a href="/wiki/Hugging_Face" title="Hugging Face">Hugging Face</a>, <a href="/wiki/Inflection_AI" title="Inflection AI">Inflection</a> and <a href="/wiki/Perplexity_AI" title="Perplexity AI">Perplexity</a>.<sup id="cite_ref-17" class="reference"><a href="#cite_note-17"><span class="cite-bracket">[</span>17<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Partnership_with_Microsoft">Partnership with Microsoft</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=6" title="Edit section: Partnership with Microsoft"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>On 26 February 2024, <a href="/wiki/Microsoft" title="Microsoft">Microsoft</a> announced a new partnership with the company to expand its presence in the <a href="/wiki/Artificial_intelligence" title="Artificial intelligence">artificial intelligence</a> industry. </p><p>Under the agreement, Mistral's language models will be available on <a href="/wiki/Microsoft_Azure" title="Microsoft Azure">Microsoft's Azure cloud</a>, while the multilingual conversational assistant <i>Le Chat</i> will be launched in the style of <a href="/wiki/ChatGPT" title="ChatGPT">ChatGPT</a>.<sup id="cite_ref-18" class="reference"><a href="#cite_note-18"><span class="cite-bracket">[</span>18<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Services">Services</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=7" title="Edit section: Services"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <div class="mw-heading mw-heading3"><h3 id="Le_Chat">Le Chat</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=8" title="Edit section: Le Chat"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>On November 19, 2024, the company announced updates for <i>Le Chat</i> (pronounced \lə tʃat\ in <a href="/wiki/French_language" title="French language">french</a>). </p><p>It added the ability to create images, in partnership with Black Forest Labs, utilizing the <a href="/wiki/Flux_Pro" class="mw-redirect" title="Flux Pro">Flux Pro</a> model. </p><p>Additionally, it introduced the capability to search for information on the internet to provide reliable and up-to-date information. </p><p>Furthermore, it launched the Canvas system, a collaborative interface where the AI generates code and the user can modify it. </p> <div class="mw-heading mw-heading4"><h4 id="Mobile_app">Mobile app</h4><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=9" title="Edit section: Mobile app"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>On February 6, 2025, Mistral AI released its AI assistant, <i>Le Chat</i>, on <a href="/wiki/IOS" title="IOS">iOS</a> and <a href="/wiki/Android_(operating_system)" title="Android (operating system)">Android</a>, making its language models accessible on mobile devices. </p><p><i>Le Chat</i> offers features including web search, image generation, and real-time updates. </p><p>Mistral AI also introduced a Pro subscription tier, priced at $14.99 per month, which provides access to more advanced models, unlimited messaging, and web browsing.<sup id="cite_ref-19" class="reference"><a href="#cite_note-19"><span class="cite-bracket">[</span>19<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Models">Models</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=10" title="Edit section: Models"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <table class="wikitable sortable"> <tbody><tr> <th>Name</th> <th>Release Date</th> <th>Number of Parameters (Billion)</th> <th>License</th> <th>Notes </th></tr> <tr> <td>Mistral Small 3 <i>25.01</i> </td> <td><span data-sort-value="000000002025-01-01-0000" style="white-space:nowrap">January 2025</span> </td> <td>24 </td> <td style="background:#9EFF9E;color:black;vertical-align:middle;text-align:center;" class="table-yes">Apache 2.0 </td> <td>Upon its release in January 2025, Mistral Small 3 is benchmarked as the leader in the "small" models category below 70B, featuring 24B parameters and capabilities comparable to those of larger models.<sup id="cite_ref-20" class="reference"><a href="#cite_note-20"><span class="cite-bracket">[</span>20<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-0" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral Large 2 <i>24.11</i> </td> <td><span data-sort-value="000000002024-11-01-0000" style="white-space:nowrap">November 2024</span> </td> <td>123 </td> <td style="background: #FFB; color:black; vertical-align: middle; text-align: center;" class="table-partial">Mistral Research License </td> <td><sup id="cite_ref-Mistral_models_overview_21-1" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Pixtral Large <i>24.11</i> </td> <td><span data-sort-value="000000002024-11-01-0000" style="white-space:nowrap">November 2024</span> </td> <td>124 </td> <td style="background: #FFB; color:black; vertical-align: middle; text-align: center;" class="table-partial">Mistral Research License </td> <td>On November 19, 2024, the company introduced Pixtral Large, an improvement over Pixtral 12B, integrating a 1-billion-parameter visual encoder coupled with Mistral Large 2. This model has also been enhanced, particularly for long contexts and function calls.<sup id="cite_ref-22" class="reference"><a href="#cite_note-22"><span class="cite-bracket">[</span>22<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-2" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Ministral 8B <i>24.10</i> </td> <td><span data-sort-value="000000002024-10-01-0000" style="white-space:nowrap">October 2024</span> </td> <td>8 </td> <td style="background: #FFB; color:black; vertical-align: middle; text-align: center;" class="table-partial">Mistral Research License </td> <td><sup id="cite_ref-Mistral_models_overview_21-3" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Ministral 3B <i>24.10</i> </td> <td><span data-sort-value="000000002024-10-01-0000" style="white-space:nowrap">October 2024</span> </td> <td>3 </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">Proprietary </td> <td><sup id="cite_ref-Mistral_models_overview_21-4" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Pixtral <i>24.09</i> </td> <td><span data-sort-value="000000002024-09-01-0000" style="white-space:nowrap">September 2024</span> </td> <td>12 </td> <td style="background:#9EFF9E;color:black;vertical-align:middle;text-align:center;" class="table-yes">Apache 2.0 </td> <td><sup id="cite_ref-Mistral_models_overview_21-5" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral Large 2 <i>24.07</i> </td> <td><span data-sort-value="000000002024-07-01-0000" style="white-space:nowrap">July 2024</span> </td> <td>123 </td> <td style="background: #FFB; color:black; vertical-align: middle; text-align: center;" class="table-partial">Mistral Research License </td> <td>Mistral Large 2 was announced on July 24, 2024, and released on Hugging Face. It is available for free with a Mistral Research Licence, and with a commercial licence for commercial purposes. Mistral AI claims that it is fluent in dozens of languages, including many programming languages. Unlike the previous Mistral Large, this version was released with open weights. The model has 123 billion parameters and a context length of 128,000 tokens.<sup id="cite_ref-Mistral_models_overview_21-6" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Codestral Mamba 7B </td> <td><span data-sort-value="000000002024-07-01-0000" style="white-space:nowrap">July 2024</span> </td> <td>7 </td> <td style="background: #9EFF9E; color:black; vertical-align: middle; text-align: center;" class="table-success">Apache 2.0 </td> <td>Codestral Mamba is based on the Mamba 2 architecture, which allows it to generate responses even with longer input.<sup id="cite_ref-:3_23-0" class="reference"><a href="#cite_note-:3-23"><span class="cite-bracket">[</span>23<span class="cite-bracket">]</span></a></sup> Unlike Codestral, it was released under the Apache 2.0 license. While previous releases often included both the base model and the instruct version, only the instruct version of Codestral Mamba was released.<sup id="cite_ref-24" class="reference"><a href="#cite_note-24"><span class="cite-bracket">[</span>24<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-7" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mathstral 7B </td> <td><span data-sort-value="000000002024-07-01-0000" style="white-space:nowrap">July 2024</span> </td> <td>7 </td> <td style="background: #9EFF9E; color:black; vertical-align: middle; text-align: center;" class="table-success">Apache 2.0 </td> <td>Mathstral 7B is a model with 7 billion parameters released by Mistral AI on July 16, 2024, focusing on STEM subjects.<sup id="cite_ref-:5_25-0" class="reference"><a href="#cite_note-:5-25"><span class="cite-bracket">[</span>25<span class="cite-bracket">]</span></a></sup> The model was produced in collaboration with Project Numina,<sup id="cite_ref-:3_23-1" class="reference"><a href="#cite_note-:3-23"><span class="cite-bracket">[</span>23<span class="cite-bracket">]</span></a></sup> and was released under the Apache 2.0 License with a context length of 32k tokens.<sup id="cite_ref-:5_25-1" class="reference"><a href="#cite_note-:5-25"><span class="cite-bracket">[</span>25<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-8" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Codestral 22B </td> <td><span data-sort-value="000000002024-05-01-0000" style="white-space:nowrap">May 2024</span> </td> <td>22 </td> <td style="background: #FFB; color:black; vertical-align: middle; text-align: center;" class="table-partial">Mistral Non-Production License </td> <td>Codestral is Mistral's first code-focused open weight model which was launched on May 29, 2024. Mistral claims Codestral is fluent in more than 80 programming languages<sup id="cite_ref-26" class="reference"><a href="#cite_note-26"><span class="cite-bracket">[</span>26<span class="cite-bracket">]</span></a></sup> Codestral has its own license which forbids the usage of Codestral for commercial purposes.<sup id="cite_ref-27" class="reference"><a href="#cite_note-27"><span class="cite-bracket">[</span>27<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-9" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral 8x22B </td> <td><span data-sort-value="000000002024-04-01-0000" style="white-space:nowrap">April 2024</span> </td> <td>22 </td> <td style="background: #9EFF9E; color:black; vertical-align: middle; text-align: center;" class="table-success">Apache 2.0 </td> <td>Similar to Mistral's previous open models, Mixtral 8x22B was released via a BitTorrent link on Twitter on April 10, 2024,<sup id="cite_ref-28" class="reference"><a href="#cite_note-28"><span class="cite-bracket">[</span>28<span class="cite-bracket">]</span></a></sup> with a release on Hugging Face soon after.<sup id="cite_ref-:4_29-0" class="reference"><a href="#cite_note-:4-29"><span class="cite-bracket">[</span>29<span class="cite-bracket">]</span></a></sup> The model uses an architecture similar to that of Mistral 8x7B, but with each expert having 22 billion parameters instead of 7. In total, the model contains 141 billion parameters, as some parameters are shared among the experts, but offering higher performance.<sup id="cite_ref-:4_29-1" class="reference"><a href="#cite_note-:4-29"><span class="cite-bracket">[</span>29<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-30" class="reference"><a href="#cite_note-30"><span class="cite-bracket">[</span>30<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-10" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral Small </td> <td><span data-sort-value="000000002024-02-01-0000" style="white-space:nowrap">February 2024</span> </td> <td>Unknown </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">Proprietary </td> <td>Like the Large model, Mistral Small was launched on February 26, 2024.<sup id="cite_ref-Mistral_models_overview_21-11" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral Large <i>24.02</i> </td> <td><span data-sort-value="000000002024-02-01-0000" style="white-space:nowrap">February 2024</span> </td> <td>Unknown </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">Proprietary </td> <td>Mistral Large was launched on February 26, 2024, and Mistral claims it is second in the world only to OpenAI's GPT-4. It is fluent in English, French, Spanish, German, and Italian, with Mistral claiming understanding of both grammar and cultural context, and provides coding capabilities. As of early 2024, it is Mistral's flagship AI.<sup id="cite_ref-31" class="reference"><a href="#cite_note-31"><span class="cite-bracket">[</span>31<span class="cite-bracket">]</span></a></sup> It is also available on Microsoft Azure.<sup id="cite_ref-32" class="reference"><a href="#cite_note-32"><span class="cite-bracket">[</span>32<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-12" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral Medium </td> <td><span data-sort-value="000000002023-12-01-0000" style="white-space:nowrap">December 2023</span> </td> <td>Unknown </td> <td style="background:#FFC7C7;color:black;vertical-align:middle;text-align:center;" class="table-no">Proprietary </td> <td>Mistral Medium is trained in various languages including English, French, Italian, German, Spanish and code with a score of 8.6 on MT-Bench.<sup id="cite_ref-33" class="reference"><a href="#cite_note-33"><span class="cite-bracket">[</span>33<span class="cite-bracket">]</span></a></sup> It is ranked in performance above <a href="/wiki/Anthropic#Claude" title="Anthropic">Claude</a> and below <a href="/wiki/GPT-4" title="GPT-4">GPT-4</a> on the LMSys <a href="/wiki/Elo_rating_system" title="Elo rating system">ELO</a> Arena benchmark.<sup id="cite_ref-34" class="reference"><a href="#cite_note-34"><span class="cite-bracket">[</span>34<span class="cite-bracket">]</span></a></sup> The number of parameters, and architecture of Mistral Medium is not known as Mistral has not published public information about it.<sup id="cite_ref-Mistral_models_overview_21-13" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral 8x7B </td> <td><span data-sort-value="000000002023-12-01-0000" style="white-space:nowrap">December 2023</span> </td> <td>46.7 </td> <td style="background: #9EFF9E; color:black; vertical-align: middle; text-align: center;" class="table-success">Apache 2.0 </td> <td>Much like Mistral's first model, Mixtral 8x7B was released via a BitTorrent link posted on <a href="/wiki/Twitter" title="Twitter">Twitter</a> on December 9, 2023,<sup id="cite_ref-:0_2-1" class="reference"><a href="#cite_note-:0-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup> and later Hugging Face and a blog post were released two days later.<sup id="cite_ref-:1_35-0" class="reference"><a href="#cite_note-:1-35"><span class="cite-bracket">[</span>35<span class="cite-bracket">]</span></a></sup> Unlike the previous Mistral model, Mixtral 8x7B uses a sparse <a href="/wiki/Mixture_of_experts" title="Mixture of experts">mixture of experts</a> architecture. The model has 8 distinct groups of "experts", giving the model a total of 46.7B usable parameters.<sup id="cite_ref-36" class="reference"><a href="#cite_note-36"><span class="cite-bracket">[</span>36<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-37" class="reference"><a href="#cite_note-37"><span class="cite-bracket">[</span>37<span class="cite-bracket">]</span></a></sup> Each single token can only use 12.9B parameters, therefore giving the speed and cost that a 12.9B parameter model would incur.<sup id="cite_ref-:1_35-1" class="reference"><a href="#cite_note-:1-35"><span class="cite-bracket">[</span>35<span class="cite-bracket">]</span></a></sup> A version trained to follow instructions called “Mixtral 8x7B Instruct” is also offered.<sup id="cite_ref-:1_35-2" class="reference"><a href="#cite_note-:1-35"><span class="cite-bracket">[</span>35<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-14" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr> <tr> <td>Mistral 7B </td> <td><span data-sort-value="000000002023-09-01-0000" style="white-space:nowrap">September 2023</span> </td> <td>7.3 </td> <td style="background: #9EFF9E; color:black; vertical-align: middle; text-align: center;" class="table-success">Apache 2.0 </td> <td>Mistral 7B is a 7.3B parameter language model using the transformers architecture. It was officially released on September 27, 2023, via a <a href="/wiki/BitTorrent" title="BitTorrent">BitTorrent</a> magnet link,<sup id="cite_ref-38" class="reference"><a href="#cite_note-38"><span class="cite-bracket">[</span>38<span class="cite-bracket">]</span></a></sup> and <a href="/wiki/HuggingFace" class="mw-redirect" title="HuggingFace">Hugging Face</a><sup id="cite_ref-39" class="reference"><a href="#cite_note-39"><span class="cite-bracket">[</span>39<span class="cite-bracket">]</span></a></sup> under the <a href="/wiki/Apache_2.0" class="mw-redirect" title="Apache 2.0">Apache 2.0</a> license. Mistral 7B employs grouped-query attention (GQA), which is a variant of the standard attention mechanism. This architecture optimizes performance by calculating attention within specific groups of hidden states rather than across all hidden states, improving efficiency and scalability.<sup id="cite_ref-40" class="reference"><a href="#cite_note-40"><span class="cite-bracket">[</span>40<span class="cite-bracket">]</span></a></sup> Both a base model and "instruct" model were released with the latter receiving additional tuning to follow chat-style prompts. The fine-tuned model is only intended for demonstration purposes, and does not have guardrails or moderation built-in.<sup id="cite_ref-:2_41-0" class="reference"><a href="#cite_note-:2-41"><span class="cite-bracket">[</span>41<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-Mistral_models_overview_21-15" class="reference"><a href="#cite_note-Mistral_models_overview-21"><span class="cite-bracket">[</span>21<span class="cite-bracket">]</span></a></sup> </td></tr></tbody></table> <div class="mw-heading mw-heading2"><h2 id="Performance">Performance</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=11" title="Edit section: Performance"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <div class="mw-heading mw-heading3"><h3 id="Mistral_7B">Mistral 7B</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=12" title="Edit section: Mistral 7B"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Mistral AI claimed in the Mistral 7B release blog post that the model outperforms <a href="/wiki/LLaMA#LLaMA-2" class="mw-redirect" title="LLaMA">LLaMA 2</a> 13B on all benchmarks tested, and is on par with LLaMA 34B on many benchmarks tested,<sup id="cite_ref-:2_41-1" class="reference"><a href="#cite_note-:2-41"><span class="cite-bracket">[</span>41<span class="cite-bracket">]</span></a></sup> despite having only 7 billion parameters, a small size compared to its competitors. </p> <div class="mw-heading mw-heading3"><h3 id="Mixtral_8x7B">Mixtral 8x7B</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=13" title="Edit section: Mixtral 8x7B"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Mistral AI's testing in 2023 shows the model beats both LLaMA 70B, and <a href="/wiki/GPT-3" title="GPT-3">GPT-3.5</a> in most <a href="/wiki/Language_model#Evaluation_and_benchmarks" title="Language model">benchmarks</a>.<sup id="cite_ref-42" class="reference"><a href="#cite_note-42"><span class="cite-bracket">[</span>42<span class="cite-bracket">]</span></a></sup> </p><p>In March 2024, a research conducted by Patronus AI comparing performance of LLMs on a 100-question test with prompts to generate text from books protected under <a href="/wiki/Copyright_law_in_the_United_States" class="mw-redirect" title="Copyright law in the United States">U.S. copyright law</a> found that <a href="/wiki/Open_AI" class="mw-redirect" title="Open AI">Open AI</a>'s <a href="/wiki/GPT-4" title="GPT-4">GPT-4</a>, Mixtral, <a href="/wiki/Meta_AI" title="Meta AI">Meta AI</a>'s <a href="/wiki/LLaMA#LLaMA-2" class="mw-redirect" title="LLaMA">LLaMA-2</a>, and <a href="/wiki/Anthropic" title="Anthropic">Anthropic</a>'s <a href="/wiki/Claude_(language_model)#Claude_2" title="Claude (language model)">Claude 2</a> generated copyrighted text verbatim in 44%, 22%, 10%, and 8% of responses respectively.<sup id="cite_ref-43" class="reference"><a href="#cite_note-43"><span class="cite-bracket">[</span>43<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-44" class="reference"><a href="#cite_note-44"><span class="cite-bracket">[</span>44<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Mistral_Large_2">Mistral Large 2</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=14" title="Edit section: Mistral Large 2"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>According to Mistral AI, Large 2's performance in benchmarks is competitive with <a href="/wiki/Llama_(language_model)" title="Llama (language model)">Llama 3.1 405B</a>, particularly in programming-related tasks.<sup id="cite_ref-45" class="reference"><a href="#cite_note-45"><span class="cite-bracket">[</span>45<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-:6_46-0" class="reference"><a href="#cite_note-:6-46"><span class="cite-bracket">[</span>46<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Codestral_22B">Codestral 22B</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=15" title="Edit section: Codestral 22B"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>As of its release date, Codestral 22B surpasses <a href="/wiki/Meta_Platforms" title="Meta Platforms">Meta's</a> Llama3 70B and <a href="/wiki/DeepSeek" title="DeepSeek">DeepSeek</a> Coder 33B (78.2% - 91.6%), another code-focused model on the HumanEval FIM benchmark.<sup id="cite_ref-47" class="reference"><a href="#cite_note-47"><span class="cite-bracket">[</span>47<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading3"><h3 id="Mathstral_7B">Mathstral 7B</h3><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=16" title="Edit section: Mathstral 7B"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Mathstral 7B achieved a score of 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark.<sup id="cite_ref-:5_25-2" class="reference"><a href="#cite_note-:5-25"><span class="cite-bracket">[</span>25<span class="cite-bracket">]</span></a></sup> </p> <div class="mw-heading mw-heading2"><h2 id="Usage">Usage</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=17" title="Edit section: Usage"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>According to Mistral AI,<sup id="cite_ref-48" class="reference"><a href="#cite_note-48"><span class="cite-bracket">[</span>48<span class="cite-bracket">]</span></a></sup> the company's products have been used by : </p> <ol><li><a href="/wiki/BNP_Paribas" title="BNP Paribas">BNP Paribas</a></li> <li><a href="/wiki/Axa" title="Axa">AXA</a></li> <li><a href="/wiki/Laboratoires_Pierre_Fabre" title="Laboratoires Pierre Fabre">Laboratoires Pierre Fabre</a></li> <li><a href="/wiki/CMA_CGM" title="CMA CGM">CMA CGM</a></li> <li><a href="/wiki/Zalando" title="Zalando">Zalando</a></li> <li><a href="/wiki/Mirakl" title="Mirakl">Mirakl</a></li> <li><a href="/wiki/France_Travail" title="France Travail">France Travail</a></li></ol> <div class="mw-heading mw-heading2"><h2 id="References">References</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=18" title="Edit section: References"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <style data-mw-deduplicate="TemplateStyles:r1239543626">.mw-parser-output .reflist{margin-bottom:0.5em;list-style-type:decimal}@media screen{.mw-parser-output .reflist{font-size:90%}}.mw-parser-output .reflist .references{font-size:100%;margin-bottom:0;list-style-type:inherit}.mw-parser-output .reflist-columns-2{column-width:30em}.mw-parser-output .reflist-columns-3{column-width:25em}.mw-parser-output .reflist-columns{margin-top:0.3em}.mw-parser-output .reflist-columns ol{margin-top:0}.mw-parser-output .reflist-columns li{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .reflist-upper-alpha{list-style-type:upper-alpha}.mw-parser-output .reflist-upper-roman{list-style-type:upper-roman}.mw-parser-output .reflist-lower-alpha{list-style-type:lower-alpha}.mw-parser-output .reflist-lower-greek{list-style-type:lower-greek}.mw-parser-output .reflist-lower-roman{list-style-type:lower-roman}</style><div class="reflist"> <div class="mw-references-wrap mw-references-columns"><ol class="references"> <li id="cite_note-1"><span class="mw-cite-backlink"><b><a href="#cite_ref-1">^</a></b></span> <span class="reference-text"><style data-mw-deduplicate="TemplateStyles:r1238218222">.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free.id-lock-free a{background:url("//upload.wikimedia.org/wikipedia/commons/6/65/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited.id-lock-limited a,.mw-parser-output .id-lock-registration.id-lock-registration a{background:url("//upload.wikimedia.org/wikipedia/commons/d/d6/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription.id-lock-subscription a{background:url("//upload.wikimedia.org/wikipedia/commons/a/aa/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:url("//upload.wikimedia.org/wikipedia/commons/4/4c/Wikisource-logo.svg")right 0.1em center/12px no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}</style><cite id="CITEREFBradshawAbboud2025" class="citation news cs1">Bradshaw, Tim; Abboud, Leila (30 January 2025). <span class="id-lock-subscription" title="Paid subscription required"><a rel="nofollow" class="external text" href="https://www.ft.com/content/fa8bad75-dc55-47d9-9eb4-79ac94e54d82">"Has Europe's great hope for AI missed its moment?"</a></span>. <i>Financial Times</i>.</cite><span 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Retrieved <span class="nowrap">17 February</span> 2025</span>.</cite><span title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=unknown&rft.jtitle=mistral.ai&rft.atitle=Solutions+-+for+any+use+case+%7C+Mistral+AI&rft_id=https%3A%2F%2Fmistral.ai%2Fen%2Fsolutions&rfr_id=info%3Asid%2Fen.wikipedia.org%3AMistral+AI" class="Z3988"></span></span> </li> </ol></div></div> <div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=Mistral_AI&action=edit&section=19" title="Edit section: External links"><span>edit</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><span class="official-website"><span class="url"><a rel="nofollow" class="external text" href="https://mistral.ai/">Official website</a></span></span> <span class="mw-valign-text-top" typeof="mw:File/Frameless"><a 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(chatbot)">Gemini</a></li> <li><a href="/wiki/Grok_(chatbot)" title="Grok (chatbot)">Grok</a></li> <li><a href="/wiki/Microsoft_Copilot" title="Microsoft Copilot">Copilot</a></li> <li><a href="/wiki/Minerva_AI" class="mw-redirect" title="Minerva AI">Minerva</a></li> <li><a class="mw-selflink selflink">Mistral</a></li> <li><a href="/wiki/Perplexity_AI" title="Perplexity AI">Perplexity AI</a></li> <li><a href="/wiki/Poe_(chatbot)" class="mw-redirect" title="Poe (chatbot)">Poe</a></li> <li><a href="/wiki/Qwen" title="Qwen">Qwen</a></li> <li><a href="/wiki/Replika" title="Replika">Replika</a></li> <li><a href="/wiki/Velvet_AI" title="Velvet AI">Velvet</a></li> <li><a href="/wiki/YandexGPT" title="YandexGPT">YandexGPT</a></li> <li><a href="/wiki/You.com" title="You.com">You.com</a></li></ul> </div></td></tr><tr><td class="navbox-abovebelow" colspan="2"><div> <ul><li><span class="noviewer" typeof="mw:File"><span title="Category"><img alt="" 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style="border-spacing:0;background:transparent;color:inherit"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1129693374" /><link rel="mw-deduplicated-inline-style" href="mw-data:TemplateStyles:r1239400231" /><div class="navbar plainlinks hlist navbar-mini"><ul><li class="nv-view"><a href="/wiki/Template:Generative_AI" title="Template:Generative AI"><abbr title="View this template">v</abbr></a></li><li class="nv-talk"><a href="/wiki/Template_talk:Generative_AI" title="Template talk:Generative AI"><abbr title="Discuss this template">t</abbr></a></li><li class="nv-edit"><a href="/wiki/Special:EditPage/Template:Generative_AI" title="Special:EditPage/Template:Generative AI"><abbr title="Edit this template">e</abbr></a></li></ul></div><div id="Generative_AI409" style="font-size:114%;margin:0 4em"><a href="/wiki/Generative_artificial_intelligence" title="Generative artificial intelligence">Generative AI</a></div></th></tr><tr><th scope="row" class="navbox-group" style="width:1%">Concepts</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Autoencoder" title="Autoencoder">Autoencoder</a></li> <li><a href="/wiki/Deep_learning" title="Deep learning">Deep learning</a></li> <li><a href="/wiki/Generative_adversarial_network" title="Generative adversarial network">Generative adversarial network</a></li> <li><a href="/wiki/Generative_pre-trained_transformer" title="Generative pre-trained transformer">Generative pre-trained transformer</a></li> <li><a href="/wiki/Large_language_model" title="Large language model">Large language model</a></li> <li><a href="/wiki/Neural_network_(machine_learning)" title="Neural network (machine learning)">Neural network</a></li> <li><a href="/wiki/Prompt_engineering" title="Prompt engineering">Prompt engineering</a></li> <li><a href="/wiki/Retrieval-augmented_generation" title="Retrieval-augmented generation">Retrieval-augmented generation</a></li> <li><a href="/wiki/Reinforcement_learning_from_human_feedback" title="Reinforcement learning from human feedback">Reinforcement learning from human feedback</a></li> <li><a href="/wiki/Self-supervised_learning" title="Self-supervised learning">Self-supervised learning</a></li> <li><a href="/wiki/Transformer_(deep_learning_architecture)" title="Transformer (deep learning architecture)">Transformer</a></li> <li><a href="/wiki/Variational_autoencoder" title="Variational autoencoder">Variational autoencoder</a></li> <li><a href="/wiki/Vision_transformer" title="Vision transformer">Vision transformer</a></li> <li><a href="/wiki/Word_embedding" title="Word embedding">Word embedding</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Models</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">Text</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Claude_(language_model)" title="Claude (language model)">Claude</a></li> <li><a href="/wiki/DBRX" title="DBRX">DBRX</a></li> <li><a href="/wiki/DeepSeek_(chatbot)" title="DeepSeek (chatbot)">DeepSeek</a></li> <li><a href="/wiki/Ernie_Bot" title="Ernie Bot">ERNIE</a></li> <li><a href="/wiki/Gemini_(chatbot)" title="Gemini (chatbot)">Gemini</a></li> <li><a href="/wiki/Generative_pre-trained_transformer" title="Generative pre-trained transformer">GPT</a> <ul><li><a href="/wiki/GPT-1" title="GPT-1">1</a></li> <li><a href="/wiki/GPT-2" title="GPT-2">2</a></li> <li><a href="/wiki/GPT-3" title="GPT-3">3</a></li> <li><a href="/wiki/GPT-J" title="GPT-J">J</a></li> <li><a href="/wiki/ChatGPT" title="ChatGPT">ChatGPT</a></li> <li><a href="/wiki/GPT-4" title="GPT-4">4</a></li> <li><a href="/wiki/GPT-4o" title="GPT-4o">4o</a></li> <li><a href="/wiki/GPT-4.5" title="GPT-4.5">4.5</a></li> <li><a href="/wiki/OpenAI_o1" title="OpenAI o1">o1</a></li> <li><a href="/wiki/OpenAI_o3" title="OpenAI o3">o3</a></li></ul></li> <li><a href="/wiki/Grok_(chatbot)" title="Grok (chatbot)">Grok</a></li> <li><a href="/wiki/IBM_Granite" title="IBM Granite">Granite</a></li> <li><a href="/wiki/Llama_(language_model)" title="Llama (language model)">Llama</a></li> <li><a class="mw-selflink-fragment" href="#Mistral_Large">Mistral Large</a></li> <li><a href="/wiki/Huawei_PanGu" title="Huawei PanGu">PanGu-Σ</a></li> <li><a href="/wiki/Qwen" title="Qwen">Qwen</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Text-to-image_model" title="Text-to-image model">Image</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Aurora_(text-to-image_model)" class="mw-redirect" title="Aurora (text-to-image model)">Aurora</a></li> <li><a href="/wiki/DALL-E" title="DALL-E">DALL-E</a></li> <li><a href="/wiki/Adobe_Firefly" title="Adobe Firefly">Firefly</a></li> <li><a href="/wiki/Flux_(text-to-image_model)" title="Flux (text-to-image model)">Flux</a></li> <li><a href="/wiki/Ideogram_(text-to-image_model)" title="Ideogram (text-to-image model)">Ideogram</a></li> <li><a href="/wiki/Midjourney" title="Midjourney">Midjourney</a></li> <li><a href="/wiki/Stable_Diffusion" title="Stable Diffusion">Stable Diffusion</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Speech</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/15.ai" title="15.ai">15.ai</a></li> <li><a href="/wiki/WaveNet" title="WaveNet">WaveNet</a></li></ul> </div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%"><a href="/wiki/Text-to-video_model" title="Text-to-video model">Video</a></th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"> <ul><li><a href="/wiki/Dream_Machine_(text-to-video_model)" title="Dream Machine (text-to-video model)">Dream Machine</a></li> <li><a href="/wiki/Runway_(company)#Gen-3_Alpha" title="Runway (company)">Gen-3 Alpha</a></li> <li><a href="/wiki/MiniMax_(company)#Hailuo_AI" title="MiniMax (company)">Hailuo AI</a></li> <li><a href="/wiki/Kling_(text-to-video_model)" class="mw-redirect" title="Kling (text-to-video model)">Kling</a></li> <li><a href="/wiki/Sora_(text-to-video_model)" title="Sora (text-to-video model)">Sora</a></li> <li><a href="/wiki/Google_DeepMind#Video_model" title="Google DeepMind">Veo</a></li> <li><a href="/wiki/VideoPoet" title="VideoPoet">VideoPoet</a></li></ul> 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<li><a href="/wiki/DeepSeek" title="DeepSeek">DeepSeek</a></li> <li><a href="/wiki/ElevenLabs" title="ElevenLabs">ElevenLabs</a></li> <li><a href="/wiki/Google_DeepMind" title="Google DeepMind">Google DeepMind</a></li> <li><a href="/wiki/Hugging_Face" title="Hugging Face">Hugging Face</a></li> <li><a href="/wiki/Kuaishou" title="Kuaishou">Kuaishou</a></li> <li><a href="/wiki/Meta_AI" title="Meta AI">Meta AI</a></li> <li><a href="/wiki/MiniMax_(company)" title="MiniMax (company)">MiniMax</a></li> <li><a class="mw-selflink selflink">Mistral AI</a></li> <li><a href="/wiki/Moonshot_AI" title="Moonshot AI">Moonshot AI</a></li> <li><a href="/wiki/OpenAI" title="OpenAI">OpenAI</a></li> <li><a href="/wiki/Runway_(company)" title="Runway (company)">Runway</a></li> <li><a href="/wiki/Stability_AI" title="Stability AI">Stability AI</a></li> <li><a href="/wiki/Synthesia_(company)" title="Synthesia (company)">Synthesia</a></li> <li><a href="/wiki/XAI_(company)" title="XAI (company)">xAI</a></li> 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