{"id":533183,"date":"2026-03-10T11:27:15","date_gmt":"2026-03-10T10:27:15","guid":{"rendered":"https:\/\/www.aivancity.ai\/blog\/?p=533183"},"modified":"2026-03-10T11:32:30","modified_gmt":"2026-03-10T10:32:30","slug":"gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche","status":"publish","type":"post","link":"https:\/\/aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/","title":{"rendered":"Gemini 3.1 Pro : la r\u00e9ponse de Google aux mod\u00e8les les plus avanc\u00e9s du march\u00e9"},"content":{"rendered":"\n<p class=\"text-justify\">Google poursuit son acc\u00e9l\u00e9ration strat\u00e9gique dans l\u2019intelligence artificielle g\u00e9n\u00e9rative avec le lancement de <strong>Gemini 3.1 Pro<\/strong>, une version pr\u00e9sent\u00e9e comme significativement plus performante que son pr\u00e9d\u00e9cesseur. Dans un contexte de concurrence intense entre les grands mod\u00e8les de langage, notamment face aux derni\u00e8res it\u00e9rations de GPT et de Claude, cette nouvelle version ambitionne de franchir un cap en mati\u00e8re de raisonnement avanc\u00e9 et de gestion des t\u00e2ches complexes. L\u2019enjeu est clair, d\u00e9montrer une sup\u00e9riorit\u00e9 mesurable sur les benchmarks tout en \u00e9largissant les cas d\u2019usage concrets pour les particuliers, les d\u00e9veloppeurs et les entreprises.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-fb7c5bd487d2d9dfae07f4a6a24c0ec3\" style=\"color:#986e13\">Une mont\u00e9e en puissance mesur\u00e9e par les benchmarks<\/h2>\n\n\n\n<p class=\"text-justify\">L\u2019argument central avanc\u00e9 par Google repose sur la performance de Gemini 3.1 Pro au benchmark <strong>ARC-AGI-2<\/strong>, un test \u00e9valuant la capacit\u00e9 d\u2019un mod\u00e8le \u00e0 r\u00e9soudre des probl\u00e8mes logiques enti\u00e8rement nouveaux, sans s\u2019appuyer sur des sch\u00e9mas d\u00e9j\u00e0 vus en entra\u00eenement. Selon les donn\u00e9es communiqu\u00e9es, Gemini 3.1 Pro atteint un score de <strong>77,1 %<\/strong>, soit pr\u00e8s du double de celui de Gemini 3 Pro<sup><a href=\"#ref1\" type=\"internal\" id=\"#ref1\">1<\/a><\/sup>.<\/p>\n\n\n\n<p class=\"text-justify\">Ce type de benchmark est particuli\u00e8rement strat\u00e9gique, car il vise \u00e0 mesurer la capacit\u00e9 de g\u00e9n\u00e9ralisation, consid\u00e9r\u00e9e comme un indicateur cl\u00e9 vers une intelligence artificielle plus adaptable et moins d\u00e9pendante de la simple reproduction statistique<sup><a href=\"#ref2\" type=\"internal\" id=\"#ref2\">2<\/a><\/sup>.<\/p>\n\n\n\n<p class=\"text-justify\">En d\u00e9passant des mod\u00e8les comme Claude Sonnet 4.6, Claude Opus 4.6 ou GPT-5.2 Thinking sur ce test sp\u00e9cifique, Google positionne Gemini 3.1 Pro comme un mod\u00e8le orient\u00e9 vers le raisonnement structur\u00e9 plut\u00f4t que la simple g\u00e9n\u00e9ration textuelle fluide.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-844d97fc4619c38753998e49f6543193\" style=\"color:#986e13\">Un mod\u00e8le con\u00e7u pour les t\u00e2ches complexes<\/h2>\n\n\n\n<p class=\"text-justify\">Google pr\u00e9cise que Gemini 3.1 Pro est destin\u00e9 aux situations o\u00f9 une r\u00e9ponse lin\u00e9aire ne suffit pas. Le mod\u00e8le mobilise un raisonnement multi-\u00e9tapes, utile pour :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Synth\u00e9tiser de grands volumes de donn\u00e9es dans une vue coh\u00e9rente<\/li>\n\n\n\n<li>Produire des explications visuelles de sujets techniques<\/li>\n\n\n\n<li>G\u00e9n\u00e9rer du code ou des simulations complexes<\/li>\n\n\n\n<li>Structurer des projets cr\u00e9atifs \u00e0 forte contrainte logique<\/li>\n<\/ul>\n\n\n\n<p class=\"text-justify\">Un exemple mis en avant concerne la g\u00e9n\u00e9ration d\u2019un outil 3D permettant de suivre la Station Spatiale Internationale, d\u00e9montrant la capacit\u00e9 du mod\u00e8le \u00e0 combiner visualisation, calcul et structuration algorithmique.<\/p>\n\n\n\n<p class=\"text-justify\">Cette orientation confirme une tendance observ\u00e9e depuis 2023, les grands mod\u00e8les \u00e9voluent progressivement vers des architectures optimis\u00e9es pour le raisonnement avanc\u00e9, int\u00e9grant des m\u00e9canismes de planification interne et d\u2019\u00e9valuation interm\u00e9diaire des r\u00e9ponses<sup><a href=\"#ref3\" type=\"internal\" id=\"#ref3\">3<\/a><\/sup>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-1856a6d5a579ed5525c2cfc9e279fced\" style=\"color:#986e13\">Tableau comparatif : Gemini 3.1 Pro face aux autres versions<\/h2>\n\n\n\n<p>Afin d\u2019\u00e9valuer l\u2019\u00e9volution r\u00e9elle, il est utile de comparer les principales caract\u00e9ristiques connues des diff\u00e9rentes versions.<\/p>\n\n\n\n<style>\n  .aivan-table-wrap{\n    max-width: 1100px;\n    margin: 18px 0;\n    padding: 18px;\n    background: linear-gradient(180deg, #fffdf8 0%, #fcf8ee 100%);\n    border: 1px solid rgba(152, 110, 19, .18);\n    border-radius: 16px;\n    box-shadow: 0 10px 28px rgba(60, 40, 10, .07);\n    overflow-x: auto;\n    font-family: system-ui, -apple-system, \"Segoe UI\", Roboto, Arial, sans-serif;\n  }\n\n  .aivan-table-title{\n    margin: 0 0 14px;\n    text-align: center;\n    font-size: 22px;\n    font-weight: 700;\n    color: #5f4307;\n  }\n\n  .aivan-table{\n    width: 100%;\n    border-collapse: collapse;\n    min-width: 860px;\n    background: #ffffff;\n    border-radius: 12px;\n    overflow: hidden;\n  }\n\n  .aivan-table thead th{\n    background: #986E13;\n    color: #ffffff;\n    text-align: left;\n    padding: 14px 16px;\n    font-size: 14px;\n    font-weight: 700;\n    border-right: 1px solid rgba(255,255,255,.15);\n  }\n\n  .aivan-table thead th:last-child{\n    border-right: none;\n  }\n\n  .aivan-table tbody tr:nth-child(odd){\n    background: #fffdf9;\n  }\n\n  .aivan-table tbody tr:nth-child(even){\n    background: #f8f1e4;\n  }\n\n  .aivan-table tbody tr:hover{\n    background: #f3e6c9;\n    transition: background .2s ease;\n  }\n\n  .aivan-table td{\n    padding: 14px 16px;\n    font-size: 14.5px;\n    line-height: 1.5;\n    color: #2e2a22;\n    vertical-align: top;\n    border-top: 1px solid rgba(152, 110, 19, .12);\n  }\n\n  .aivan-table td strong{\n    color: #6d4d09;\n    font-weight: 700;\n  }\n\n  .aivan-badge-score{\n    display: inline-block;\n    padding: 5px 10px;\n    border-radius: 999px;\n    background: rgba(152, 110, 19, .10);\n    color: #7a570c;\n    font-weight: 700;\n    white-space: nowrap;\n  }\n\n  .aivan-note{\n    margin-top: 12px;\n    padding: 10px 12px;\n    background: rgba(152, 110, 19, .08);\n    border: 1px solid rgba(152, 110, 19, .14);\n    border-radius: 10px;\n    font-size: 13.5px;\n    color: #5c420c;\n  }\n<\/style>\n\n<div class=\"aivan-table-wrap\">\n  <h3 class=\"aivan-table-title\">Comparatif des mod\u00e8les sur ARC-AGI-2<\/h3>\n\n  <table class=\"aivan-table\">\n    <thead>\n      <tr>\n        <th>Mod\u00e8le<\/th>\n        <th>Positionnement<\/th>\n        <th>Score ARC-AGI-2<\/th>\n        <th>Orientation principale<\/th>\n        <th>Acc\u00e8s<\/th>\n      <\/tr>\n    <\/thead>\n    <tbody>\n      <tr>\n        <td><strong>Gemini 3 Pro<\/strong><\/td>\n        <td>Mod\u00e8le avanc\u00e9 g\u00e9n\u00e9raliste<\/td>\n        <td><span class=\"aivan-badge-score\">~38 %<\/span><\/td>\n        <td>G\u00e9n\u00e9ration multimodale performante<\/td>\n        <td>Application Gemini<\/td>\n      <\/tr>\n      <tr>\n        <td><strong>Gemini 3.1 Pro<\/strong><\/td>\n        <td>Mod\u00e8le optimis\u00e9 pour t\u00e2ches complexes<\/td>\n        <td><span class=\"aivan-badge-score\">77,1 %<\/span><\/td>\n        <td>Raisonnement avanc\u00e9 et r\u00e9solution logique<\/td>\n        <td>Gratuit (limites standard), abonnements avec quotas \u00e9tendus<\/td>\n      <\/tr>\n      <tr>\n        <td><strong>Versions concurrentes (Claude Sonnet 4.6 \/ Opus 4.6)<\/strong><\/td>\n        <td>Mod\u00e8les conversationnels et analytiques<\/td>\n        <td><span class=\"aivan-badge-score\">Inf\u00e9rieur \u00e0 77,1 %<\/span><\/td>\n        <td>Analyse structur\u00e9e et r\u00e9daction experte<\/td>\n        <td>API et abonnements<\/td>\n      <\/tr>\n      <tr>\n        <td><strong>GPT-5.2 Thinking<\/strong><\/td>\n        <td>Version optimis\u00e9e raisonnement<\/td>\n        <td><span class=\"aivan-badge-score\">Inf\u00e9rieur \u00e0 77,1 %<\/span><\/td>\n        <td>Raisonnement d\u00e9compos\u00e9 multi-\u00e9tapes<\/td>\n        <td>API et offres premium<\/td>\n      <\/tr>\n    <\/tbody>\n  <\/table>\n\n\n<\/div>\n\n\n\n<p class=\"text-justify\">Ce tableau met en \u00e9vidence l\u2019\u00e9cart revendiqu\u00e9 par Google sur un indicateur pr\u00e9cis, tout en rappelant que la performance globale d\u2019un mod\u00e8le d\u00e9pend aussi d\u2019autres crit\u00e8res, latence, co\u00fbt d\u2019inf\u00e9rence, multimodalit\u00e9, robustesse aux biais.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-9a1fdd90225c50051c14a9c77ebfb1ff\" style=\"color:#986e13\">Une accessibilit\u00e9 \u00e9largie mais diff\u00e9renci\u00e9e<\/h2>\n\n\n\n<p class=\"text-justify\">L\u2019un des \u00e9l\u00e9ments notables est l\u2019accessibilit\u00e9 gratuite de Gemini 3.1 Pro via l\u2019application Gemini, en s\u00e9lectionnant l\u2019option \u00ab Pro \u00bb. Les abonnements Google AI Pro et Google AI Ultra offrent cependant des plafonds d\u2019utilisation plus \u00e9lev\u00e9s.<\/p>\n\n\n\n<p>Pour les environnements professionnels, le mod\u00e8le est disponible en pr\u00e9version via :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI Studio API<\/li>\n\n\n\n<li>Vertex AI<\/li>\n\n\n\n<li>Gemini Entreprise<\/li>\n\n\n\n<li>Android Studio<\/li>\n\n\n\n<li>Gemini CLI<\/li>\n<\/ul>\n\n\n\n<p class=\"text-justify\">Cette double strat\u00e9gie, acc\u00e8s gratuit limit\u00e9 et int\u00e9gration API pour les entreprises, refl\u00e8te une logique d\u2019adoption massive combin\u00e9e \u00e0 une mon\u00e9tisation par usage intensif, d\u00e9sormais classique dans l\u2019\u00e9conomie des LLM<sup><a href=\"#ref4\" type=\"internal\" id=\"#ref4\">4<\/a><\/sup>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-0050d30bf67d14b264ecfc2871315c88\" style=\"color:#986e13\">Enjeux strat\u00e9giques et concurrentiels<\/h2>\n\n\n\n<p class=\"text-justify\">Le lancement de Gemini 3.1 Pro intervient dans un contexte o\u00f9 la diff\u00e9renciation ne repose plus uniquement sur la fluidit\u00e9 conversationnelle. Les acteurs majeurs cherchent \u00e0 d\u00e9montrer une capacit\u00e9 sup\u00e9rieure en r\u00e9solution de probl\u00e8mes in\u00e9dits, un crit\u00e8re souvent associ\u00e9 aux recherches sur l\u2019intelligence artificielle g\u00e9n\u00e9rale.<\/p>\n\n\n\n<p class=\"text-justify\">Toutefois, les benchmarks restent des indicateurs partiels. Ils ne capturent pas toujours la robustesse r\u00e9elle en contexte d\u2019entreprise, ni la stabilit\u00e9 face \u00e0 des donn\u00e9es bruit\u00e9es. Plusieurs travaux acad\u00e9miques soulignent la n\u00e9cessit\u00e9 d\u2019\u00e9valuations multidimensionnelles int\u00e9grant s\u00e9curit\u00e9, biais et explicabilit\u00e9<sup><a href=\"#ref5\" type=\"internal\" id=\"#ref5\">5<\/a><\/sup>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-f2be92b545d9423fb12aa52a59d5e53a\" style=\"color:#986e13\">Aspects \u00e9thiques et r\u00e9glementaires<\/h2>\n\n\n\n<p class=\"text-justify\">L\u2019am\u00e9lioration du raisonnement algorithmique soul\u00e8ve \u00e9galement des enjeux en mati\u00e8re de responsabilit\u00e9. Plus un mod\u00e8le est utilis\u00e9 pour des t\u00e2ches complexes, notamment en ing\u00e9nierie, finance ou sant\u00e9, plus la question de la tra\u00e7abilit\u00e9 des d\u00e9cisions devient centrale.<\/p>\n\n\n\n<p class=\"text-justify\">Dans le cadre du r\u00e8glement europ\u00e9en sur l\u2019intelligence artificielle adopt\u00e9 en 2024, les mod\u00e8les \u00e0 usage g\u00e9n\u00e9ral doivent r\u00e9pondre \u00e0 des exigences accrues en mati\u00e8re de documentation, d\u2019\u00e9valuation des risques et de transparence<sup><a href=\"#ref6\" type=\"internal\" id=\"#ref6\">6<\/a><\/sup>.<\/p>\n\n\n\n<p class=\"text-justify\">Ainsi, la mont\u00e9e en puissance technique doit s\u2019accompagner d\u2019un renforcement des m\u00e9canismes d\u2019audit, de contr\u00f4le et de supervision humaine.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-035f4fc2c8ddb8c9a3fc6aca51d95769\" style=\"color:#986e13\">Vers une nouvelle phase de maturit\u00e9 des LLM ?<\/h2>\n\n\n\n<p class=\"text-justify\">Avec Gemini 3.1 Pro, Google ne se contente pas d\u2019augmenter marginalement la performance de son mod\u00e8le. L\u2019entreprise cherche \u00e0 repositionner sa strat\u00e9gie autour du raisonnement avanc\u00e9 et des t\u00e2ches complexes \u00e0 forte valeur ajout\u00e9e.<\/p>\n\n\n\n<p class=\"text-justify\">La question n\u2019est plus seulement de produire du texte coh\u00e9rent, mais de structurer des cha\u00eenes logiques in\u00e9dites et de r\u00e9soudre des probl\u00e8mes non rencontr\u00e9s durant l\u2019entra\u00eenement. Cette \u00e9volution marque peut-\u00eatre une transition vers des mod\u00e8les plus sp\u00e9cialis\u00e9s dans l\u2019intelligence proc\u00e9durale.<\/p>\n\n\n\n<p class=\"text-justify\">Reste \u00e0 observer comment ces performances se traduiront dans des contextes r\u00e9els, industriels et r\u00e9glement\u00e9s. La course aux mod\u00e8les les plus avanc\u00e9s se joue d\u00e9sormais autant sur la robustesse que sur les scores.<\/p>\n\n\n\n<p class=\"text-justify\">Pr\u00e9c\u00e9demment sur ce blog, nous avons analys\u00e9 les dynamiques concurrentielles autour de GPT-5 et les strat\u00e9gies d\u2019OpenAI face \u00e0 la mont\u00e9e en puissance des mod\u00e8les asiatiques. Ces \u00e9volutions crois\u00e9es permettent de mieux comprendre la reconfiguration actuelle du paysage mondial de l\u2019intelligence artificielle.<\/p>\n\n\n\n<style>\n  .aivan-box{\n    max-width: 980px;\n    margin: 16px 0;\n    padding: 22px 20px 18px;\n    background: linear-gradient(180deg, #ffffff 0%, #fafcff 100%);\n    border: 1px solid rgba(0, 100, 198, .15);\n    border-left: 6px solid #0064C6;\n    border-radius: 14px;\n    box-shadow: 0 10px 30px rgba(10, 20, 60, .06);\n    font-family: system-ui, -apple-system, \"Segoe UI\", Roboto, Arial, sans-serif;\n    color: #111827;\n  }\n\n  .aivan-box__header{\n    position: relative;\n    margin-bottom: 18px;\n  }\n\n  .aivan-badge{\n    display: inline-flex;\n    align-items: center;\n    padding: 6px 14px;\n    background: rgba(0, 100, 198, .08);\n    color: #0064C6;\n    border: 1px solid rgba(0, 100, 198, .25);\n    border-radius: 999px;\n    font-weight: 700;\n    font-size: 13px;\n    position: absolute;\n    left: 0;\n    top: 50%;\n    transform: translateY(-50%);\n    white-space: nowrap;\n  }\n\n  .aivan-box h3{\n    margin: 0;\n    text-align: center;\n    font-size: 22px;\n    font-weight: 700;\n    color: #0b1220;\n  }\n\n  .aivan-box p{\n    margin: 12px 0 0;\n    text-align: justify;\n    line-height: 1.6;\n    font-size: 15px;\n    color: #1f2937;\n  }\n\n  .aivan-card{\n    background: #ffffff;\n    border: 1px solid rgba(17, 24, 39, .08);\n    border-radius: 12px;\n    padding: 16px;\n    margin-top: 18px;\n  }\n\n  .aivan-card__title{\n    font-weight: 700;\n    font-size: 14px;\n    margin-bottom: 12px;\n    color: #0064C6;\n  }\n\n  .aivan-list{\n    margin: 0;\n    padding-left: 18px;\n    line-height: 1.6;\n    font-size: 14.5px;\n    color: #1f2937;\n  }\n\n  .aivan-list li{\n    margin-bottom: 8px;\n  }\n\n  .aivan-footer{\n    margin-top: 18px;\n    padding-top: 14px;\n    border-top: 1px dashed rgba(0, 100, 198, .28);\n  }\n\n  .aivan-highlight{\n    margin-top: 14px;\n    padding: 12px 14px;\n    background: rgba(0, 100, 198, .07);\n    border-radius: 10px;\n    font-size: 14px;\n    font-weight: 600;\n    color: #003a73;\n  }\n<\/style>\n\n<section class=\"aivan-box\">\n  <div class=\"aivan-box__header\">\n    <span class=\"aivan-badge\">R\u00e9f\u00e9rentiel technologique<\/span>\n    <h3>Comment fonctionne Gemini 3.1 Pro ?<\/h3>\n  <\/div>\n\n  <p>\n    Gemini 3.1 Pro repose sur une architecture de type Transformer de grande \u00e9chelle, optimis\u00e9e pour le raisonnement multi-\u00e9tapes et la g\u00e9n\u00e9ralisation hors distribution. Le mod\u00e8le est entra\u00een\u00e9 sur des corpus multimodaux massifs combinant texte, code, images et donn\u00e9es structur\u00e9es. Son comportement est ajust\u00e9 via des m\u00e9canismes de fine-tuning et d\u2019alignement destin\u00e9s \u00e0 am\u00e9liorer la coh\u00e9rence logique, la stabilit\u00e9 des r\u00e9ponses longues et la r\u00e9solution de probl\u00e8mes complexes.\n  <\/p>\n\n  <p>\n    Une \u00e9volution notable concerne l\u2019optimisation du raisonnement proc\u00e9dural : le mod\u00e8le est con\u00e7u pour d\u00e9composer un probl\u00e8me en sous-t\u00e2ches successives, maintenir le contexte sur des s\u00e9quences longues et hi\u00e9rarchiser les informations pertinentes gr\u00e2ce \u00e0 des m\u00e9canismes d\u2019attention renforc\u00e9s. Cette architecture favorise des r\u00e9ponses structur\u00e9es dans les situations o\u00f9 une simple g\u00e9n\u00e9ration textuelle serait insuffisante.\n  <\/p>\n\n  <div class=\"aivan-card\">\n    <div class=\"aivan-card__title\">Fonctionnalit\u00e9s techniques cl\u00e9s du mod\u00e8le<\/div>\n    <ul class=\"aivan-list\">\n      <li>Raisonnement multi-\u00e9tapes : capacit\u00e9 \u00e0 segmenter un probl\u00e8me complexe en sous-probl\u00e8mes logiques<\/li>\n      <li>Gestion de contexte \u00e9tendu : maintien de coh\u00e9rence sur de longues s\u00e9quences<\/li>\n      <li>Multimodalit\u00e9 int\u00e9gr\u00e9e : traitement combin\u00e9 texte, code et donn\u00e9es visuelles<\/li>\n      <li>Optimisation benchmark : am\u00e9lioration mesur\u00e9e sur des tests de g\u00e9n\u00e9ralisation comme ARC-AGI-2<\/li>\n      <li>Int\u00e9gration API entreprise : d\u00e9ploiement via Vertex AI et environnements d\u00e9veloppeurs<\/li>\n    <\/ul>\n  <\/div>\n\n  <div class=\"aivan-card\">\n    <div class=\"aivan-card__title\">Contraintes et param\u00e8tres structurants<\/div>\n    <ul class=\"aivan-list\">\n      <li>D\u00e9pendance au calcul distribu\u00e9 \u00e0 grande \u00e9chelle, notamment via infrastructure TPU<\/li>\n      <li>Latence et co\u00fbts d\u2019inf\u00e9rence li\u00e9s au volume de param\u00e8tres<\/li>\n      <li>Sensibilit\u00e9 potentielle aux biais issus des donn\u00e9es d\u2019entra\u00eenement<\/li>\n      <li>N\u00e9cessit\u00e9 de supervision humaine pour les usages critiques<\/li>\n      <li>Conformit\u00e9 r\u00e9glementaire dans les environnements \u00e0 haut risque<\/li>\n    <\/ul>\n  <\/div>\n\n  <div class=\"aivan-footer\">\n    <p>\n      D\u2019un point de vue technologique, Gemini 3.1 Pro illustre une \u00e9volution des grands mod\u00e8les de langage vers des syst\u00e8mes orient\u00e9s intelligence proc\u00e9durale, combinant scaling computationnel, optimisation algorithmique et ajustement comportemental.\n    <\/p>\n\n    <p>\n      Cette trajectoire confirme une tendance structurante de l\u2019IA contemporaine : le passage de mod\u00e8les conversationnels g\u00e9n\u00e9ralistes \u00e0 des architectures capables de raisonnement structur\u00e9 dans des environnements complexes.\n    <\/p>\n\n    <div class=\"aivan-highlight\">\n      \u00c0 retenir : l\u2019am\u00e9lioration du raisonnement repose autant sur l\u2019architecture Transformer optimis\u00e9e que sur le scaling infrastructurel et l\u2019alignement comportemental.\n    <\/div>\n  <\/div>\n<\/section>\n\n\n\n<h2 class=\"wp-block-heading has-text-color has-link-color wp-elements-51059293d6ca7238da826f4e8690abe2\" style=\"color:#0064c6\">Pour aller plus loin&nbsp;<\/h2>\n\n\n\n<p class=\"text-justify\">L\u2019\u00e9volution de Gemini s\u2019inscrit dans une comp\u00e9tition technologique intense entre acteurs majeurs de l\u2019intelligence artificielle. Pour analyser une autre \u00e9tape cl\u00e9 de cette course aux mod\u00e8les avanc\u00e9s, d\u00e9couvrez notre article <a href=\"https:\/\/www.aivancity.ai\/blog\/claude-opus-4-6-et-gpt-5-3-codex-devoiles-le-meme-jour-la-course-aux-modeles-frontieres-saccelere\/\"><strong>\u00ab Claude Opus 4.6 et GPT-5.3 Codex d\u00e9voil\u00e9s le m\u00eame jour, la course aux mod\u00e8les fronti\u00e8res s\u2019acc\u00e9l\u00e8re \u00bb<\/strong><\/a>, qui met en perspective les strat\u00e9gies de d\u00e9veloppement et les enjeux industriels li\u00e9s aux mod\u00e8les dits frontier.<\/p>\n\n\n\n<h3 class=\"wp-block-heading text-justify has-text-color has-link-color wp-elements-9563d62d3a2a5bb3e04e421e0c2d68f4\" style=\"color:#5a5e83\">R\u00e9f\u00e9rences<\/h3>\n\n\n\n<p id=\"ref1\" style=\"text-align:justify;\">1. Google DeepMind. (2026). Gemini 3.1 Pro Technical Report. <br> <a href=\"https:\/\/deepmind.google\" target=\"_blank\">https:\/\/deepmind.google<\/a> <\/p>\n\n\n\n<p id=\"ref2\" style=\"text-align:justify;\">2. Fran\u00e7ois Chollet. (2019). On the Measure of Intelligence. arXiv. <br> <a href=\"https:\/\/arxiv.org\" target=\"_blank\">https:\/\/arxiv.org<\/a> <\/p>\n\n\n\n<p id=\"ref3\" style=\"text-align:justify;\">3. Microsoft Research. (2023). Sparks of Artificial General Intelligence. <br> <a href=\"https:\/\/www.microsoft.com\/en-us\/research\" target=\"_blank\">https:\/\/www.microsoft.com\/en-us\/research<\/a> <\/p>\n\n\n\n<p id=\"ref4\" style=\"text-align:justify;\">4. McKinsey Global Institute. (2023). The Economic Potential of Generative AI. <br> <a href=\"https:\/\/www.mckinsey.com\" target=\"_blank\">https:\/\/www.mckinsey.com<\/a> <\/p>\n\n\n\n<p id=\"ref5\" style=\"text-align:justify;\">5. Stanford University. (2024). AI Index Report 2024. <br> <a href=\"https:\/\/hai.stanford.edu\" target=\"_blank\">https:\/\/hai.stanford.edu<\/a> <\/p>\n\n\n\n<p id=\"ref6\" style=\"text-align:justify;\">6. Parlement europ\u00e9en. (2024). Artificial Intelligence Act. <br> <a href=\"https:\/\/www.europarl.europa.eu\" target=\"_blank\">https:\/\/www.europarl.europa.eu<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google poursuit son acc\u00e9l\u00e9ration strat\u00e9gique dans l\u2019intelligence artificielle g\u00e9n\u00e9rative avec le lancement de Gemini 3.1 Pro, une version pr\u00e9sent\u00e9e comme significativement plus performante que son pr\u00e9d\u00e9cesseur. Dans un contexte de concurrence intense entre les grands&#8230;<\/p>\n","protected":false},"author":2,"featured_media":533197,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[38],"tags":[59],"class_list":{"0":"post-533183","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ia-generatives","8":"tag-parlonsia"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Gemini 3.1 Pro : la nouvelle r\u00e9ponse IA de Google<\/title>\n<meta name=\"description\" content=\"Gemini 3.1 Pro d\u00e9passe les benchmarks cl\u00e9s et renforce la strat\u00e9gie IA de Google face \u00e0 GPT et Claude. Analyse compl\u00e8te et comparative.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gemini 3.1 Pro : la nouvelle r\u00e9ponse IA de Google\" \/>\n<meta property=\"og:description\" content=\"Gemini 3.1 Pro d\u00e9passe les benchmarks cl\u00e9s et renforce la strat\u00e9gie IA de Google face \u00e0 GPT et Claude. Analyse compl\u00e8te et comparative.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/\" \/>\n<meta property=\"og:site_name\" content=\"aivancity blog\" \/>\n<meta property=\"article:published_time\" content=\"2026-03-10T10:27:15+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-10T10:32:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.aivancity.ai\/blog\/wp-content\/uploads\/2026\/03\/Article2-2.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"aivancity\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"aivancity\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/\"},\"author\":{\"name\":\"aivancity\",\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/#\\\/schema\\\/person\\\/328ad43488c5a9862120397242946d86\"},\"headline\":\"Gemini 3.1 Pro : la r\u00e9ponse de Google aux mod\u00e8les les plus avanc\u00e9s du march\u00e9\",\"datePublished\":\"2026-03-10T10:27:15+00:00\",\"dateModified\":\"2026-03-10T10:32:30+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/\"},\"wordCount\":1650,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/aivancity.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/Article2-2.png\",\"keywords\":[\"Parlons IA\"],\"articleSection\":[\"IA G\u00e9n\u00e9ratives\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/\",\"url\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/\",\"name\":\"Gemini 3.1 Pro : la nouvelle r\u00e9ponse IA de Google\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/aivancity.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/Article2-2.png\",\"datePublished\":\"2026-03-10T10:27:15+00:00\",\"dateModified\":\"2026-03-10T10:32:30+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/#\\\/schema\\\/person\\\/328ad43488c5a9862120397242946d86\"},\"description\":\"Gemini 3.1 Pro d\u00e9passe les benchmarks cl\u00e9s et renforce la strat\u00e9gie IA de Google face \u00e0 GPT et Claude. Analyse compl\u00e8te et comparative.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#primaryimage\",\"url\":\"https:\\\/\\\/aivancity.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/Article2-2.png\",\"contentUrl\":\"https:\\\/\\\/aivancity.ai\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/Article2-2.png\",\"width\":1024,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Gemini 3.1 Pro : la r\u00e9ponse de Google aux mod\u00e8les les plus avanc\u00e9s du march\u00e9\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/\",\"name\":\"aivancity blog\",\"description\":\"Advancing education in Artificial Intelligence\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.aivancity.ai\\\/blog\\\/#\\\/schema\\\/person\\\/328ad43488c5a9862120397242946d86\",\"name\":\"aivancity\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7dc107f50fcc29a52e9e6704b51b2692c12abbd1e30492734163b097a2c1c3ae?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7dc107f50fcc29a52e9e6704b51b2692c12abbd1e30492734163b097a2c1c3ae?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/7dc107f50fcc29a52e9e6704b51b2692c12abbd1e30492734163b097a2c1c3ae?s=96&d=mm&r=g\",\"caption\":\"aivancity\"},\"url\":\"https:\\\/\\\/aivancity.ai\\\/blog\\\/author\\\/romdhani\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Gemini 3.1 Pro : la nouvelle r\u00e9ponse IA de Google","description":"Gemini 3.1 Pro d\u00e9passe les benchmarks cl\u00e9s et renforce la strat\u00e9gie IA de Google face \u00e0 GPT et Claude. Analyse compl\u00e8te et comparative.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/","og_locale":"fr_FR","og_type":"article","og_title":"Gemini 3.1 Pro : la nouvelle r\u00e9ponse IA de Google","og_description":"Gemini 3.1 Pro d\u00e9passe les benchmarks cl\u00e9s et renforce la strat\u00e9gie IA de Google face \u00e0 GPT et Claude. Analyse compl\u00e8te et comparative.","og_url":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/","og_site_name":"aivancity blog","article_published_time":"2026-03-10T10:27:15+00:00","article_modified_time":"2026-03-10T10:32:30+00:00","og_image":[{"width":1024,"height":1024,"url":"https:\/\/www.aivancity.ai\/blog\/wp-content\/uploads\/2026\/03\/Article2-2.png","type":"image\/png"}],"author":"aivancity","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"aivancity","Dur\u00e9e de lecture estim\u00e9e":"8 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#article","isPartOf":{"@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/"},"author":{"name":"aivancity","@id":"https:\/\/www.aivancity.ai\/blog\/#\/schema\/person\/328ad43488c5a9862120397242946d86"},"headline":"Gemini 3.1 Pro : la r\u00e9ponse de Google aux mod\u00e8les les plus avanc\u00e9s du march\u00e9","datePublished":"2026-03-10T10:27:15+00:00","dateModified":"2026-03-10T10:32:30+00:00","mainEntityOfPage":{"@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/"},"wordCount":1650,"commentCount":0,"image":{"@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#primaryimage"},"thumbnailUrl":"https:\/\/aivancity.ai\/blog\/wp-content\/uploads\/2026\/03\/Article2-2.png","keywords":["Parlons IA"],"articleSection":["IA G\u00e9n\u00e9ratives"],"inLanguage":"fr-FR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/","url":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/","name":"Gemini 3.1 Pro : la nouvelle r\u00e9ponse IA de Google","isPartOf":{"@id":"https:\/\/www.aivancity.ai\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#primaryimage"},"image":{"@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#primaryimage"},"thumbnailUrl":"https:\/\/aivancity.ai\/blog\/wp-content\/uploads\/2026\/03\/Article2-2.png","datePublished":"2026-03-10T10:27:15+00:00","dateModified":"2026-03-10T10:32:30+00:00","author":{"@id":"https:\/\/www.aivancity.ai\/blog\/#\/schema\/person\/328ad43488c5a9862120397242946d86"},"description":"Gemini 3.1 Pro d\u00e9passe les benchmarks cl\u00e9s et renforce la strat\u00e9gie IA de Google face \u00e0 GPT et Claude. Analyse compl\u00e8te et comparative.","breadcrumb":{"@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#primaryimage","url":"https:\/\/aivancity.ai\/blog\/wp-content\/uploads\/2026\/03\/Article2-2.png","contentUrl":"https:\/\/aivancity.ai\/blog\/wp-content\/uploads\/2026\/03\/Article2-2.png","width":1024,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/www.aivancity.ai\/blog\/gemini-3-1-pro-la-reponse-de-google-aux-modeles-les-plus-avances-du-marche\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/www.aivancity.ai\/blog\/"},{"@type":"ListItem","position":2,"name":"Gemini 3.1 Pro : la r\u00e9ponse de Google aux mod\u00e8les les plus avanc\u00e9s du march\u00e9"}]},{"@type":"WebSite","@id":"https:\/\/www.aivancity.ai\/blog\/#website","url":"https:\/\/www.aivancity.ai\/blog\/","name":"aivancity blog","description":"Advancing education in Artificial Intelligence","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.aivancity.ai\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"},{"@type":"Person","@id":"https:\/\/www.aivancity.ai\/blog\/#\/schema\/person\/328ad43488c5a9862120397242946d86","name":"aivancity","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/secure.gravatar.com\/avatar\/7dc107f50fcc29a52e9e6704b51b2692c12abbd1e30492734163b097a2c1c3ae?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/7dc107f50fcc29a52e9e6704b51b2692c12abbd1e30492734163b097a2c1c3ae?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/7dc107f50fcc29a52e9e6704b51b2692c12abbd1e30492734163b097a2c1c3ae?s=96&d=mm&r=g","caption":"aivancity"},"url":"https:\/\/aivancity.ai\/blog\/author\/romdhani\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/posts\/533183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/comments?post=533183"}],"version-history":[{"count":2,"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/posts\/533183\/revisions"}],"predecessor-version":[{"id":538541,"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/posts\/533183\/revisions\/538541"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/media\/533197"}],"wp:attachment":[{"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/media?parent=533183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/categories?post=533183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aivancity.ai\/blog\/wp-json\/wp\/v2\/tags?post=533183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}