{"edition":"2026-W40","date":"2026-09-28","mises_a_jour":[{"date":"2026-10-01","source":"arena","detail":"text_style_control (2026-09-25 → 2026-09-30), webdev (2026-09-29 → 2026-09-30), image_edit (2026-09-22 → 2026-09-30)"}],"methode":{"version":"0.1","poids":{"raisonnement":15,"code":15,"agents":15,"usage":10,"maths":10,"sciences":10,"francais":10,"vision":5,"ecriture":5,"web":5},"ancrage":{"edition":"2026-W40","bas":{"modele":"GPT-4o (Nov 2024)","score":51.12},"haut":{"modele":"Claude Sonnet 4.5","score":76.4},"meilleur_au_lancement":"Claude Opus 5.5"},"erreur_residuelle":0.0686,"intervalle":"90 %","change":{"code":"EUR","rate_from_usd":0.87785,"date":"2026-09-29","source":"frankfurter"}},"bilan":{"mesures_lues":11682,"noms_non_resolus":1998,"modeles":592,"modeles_classes":246,"benchmarks":98,"benchmarks_actifs":60,"mesures_retenues":6934,"modeles_sans_pays":43,"modeles_en_attente":8},"sources":[{"id":"epoch","nom":"Epoch AI","url":"https://epoch.ai/benchmarks","role":"mesures","etat":"relevee","mesures":6259},{"id":"arena","nom":"Arena","url":"https://arena.ai/leaderboard","role":"mesures","etat":"relevee","mesures":2094},{"id":"comparia","nom":"compar:IA","url":"https://comparia.beta.gouv.fr","role":"mesures","etat":"relevee","mesures":117},{"id":"euroeval","nom":"EuroEval","url":"https://euroeval.com","role":"mesures","etat":"relevee","mesures":1214},{"id":"modelsdev","nom":"models.dev","url":"https://models.dev","role":"fiches","etat":"relevee","mesures":0},{"id":"openrouter","nom":"OpenRouter","url":"https://openrouter.ai/models","role":"fiches","etat":"relevee","mesures":0},{"id":"arena_medias","nom":"Arena, images et vidéo","url":"https://arena.ai/leaderboard/text-to-image","role":"medias","etat":"relevee","mesures":0}],"taches":[{"id":"raisonnement","nom":"Raisonnement","poids":15,"benchmarks_actifs":9},{"id":"code","nom":"Code","poids":15,"benchmarks_actifs":13},{"id":"agents","nom":"Agents","poids":15,"benchmarks_actifs":9},{"id":"usage","nom":"Usage courant","poids":10,"benchmarks_actifs":1},{"id":"maths","nom":"Mathématiques","poids":10,"benchmarks_actifs":8},{"id":"sciences","nom":"Sciences et savoir expert","poids":10,"benchmarks_actifs":5},{"id":"francais","nom":"Français","poids":10,"benchmarks_actifs":10},{"id":"vision","nom":"Vision et multimodal","poids":5,"benchmarks_actifs":3},{"id":"ecriture","nom":"Écriture","poids":5,"benchmarks_actifs":1},{"id":"web","nom":"Web et interfaces","poids":5,"benchmarks_actifs":1},{"id":"donnees","nom":"Données","poids":0,"benchmarks_actifs":0},{"id":"securite","nom":"Sécurité","poids":0,"benchmarks_actifs":0},{"id":"autre","nom":"Tests historiques","poids":0,"benchmarks_actifs":0}],"benchmarks":[{"id":"aider_polyglot","nom":"Aider Polyglot","tache":"code","etat":"archive","echelle":"pourcent","modeles":54,"poids_general":0,"difficulte":65,"pente":0.1238,"en_une_phrase":"225 exercices de programmation difficiles d'Exercism, en six langages, à résoudre en modifiant directement les fichiers.","notation":"Pourcentage d'exercices dont tous les tests passent après deux tentatives, la seconde avec le retour des tests.","limites":"Exercices publics et courts, loin d'un vrai projet. 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La qualité du code et sa maintenance ne sont pas évaluées.","mainteneur":"Arena (ex LMArena)","url":"https://arena.ai/leaderboard/code/webdev","verifie":true},{"id":"balrog","nom":"BALROG","tache":"agents","etat":"actif","echelle":"unite","modeles":37,"poids_general":1.67,"difficulte":85.1,"pente":0.0372,"en_une_phrase":"Jouer à six jeux, du simple BabyAI au redoutable NetHack, qui demandent d'explorer, de planifier et de tenir sur la durée.","notation":"Progression moyenne dans les six jeux, de 0 à 1, calculée sur plusieurs parties par jeu.","limites":"La moyenne cache de grands écarts : les modèles terminent les jeux simples mais avancent à peine dans NetHack.","mainteneur":"Équipe BALROG (auteurs de l'article de 2024)","url":"https://balrogai.com/","verifie":true},{"id":"bbh","nom":"BIG-Bench Hard (BBH)","tache":"autre","etat":"archive","echelle":"unite","modeles":45,"poids_general":0,"difficulte":18.7,"pente":0.0409,"en_une_phrase":"23 exercices de logique et de raisonnement en plusieurs étapes, retenus en 2022 parce que les modèles y échouaient.","notation":"Moyenne des bonnes réponses sur l'ensemble des exercices.","limites":"Jeu public de 2022, largement vu à l'entraînement et saturé. 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Les humains testés obtiennent environ 0,59 et le meilleur modèle 0,50.","mainteneur":"Andon Labs","url":"https://andonlabs.com/evals/blueprint-bench-2","verifie":true},{"id":"boolq","nom":"BoolQ","tache":"autre","etat":"archive","echelle":"unite","modeles":76,"poids_general":0,"difficulte":-22.1,"pente":0.0226,"en_une_phrase":"Répondre par oui ou par non à une vraie question d'internaute, à partir d'un court passage de texte.","notation":"Part de bonnes réponses ; le hasard donne 50 %.","limites":"Test de 2019 saturé. 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L'auteur estime qu'environ 5 % des pièces justes sont refusées à tort.","mainteneur":"Will Patrick","url":"https://willpatrick.xyz/technology/2025/04/23/teaching-llms-how-to-solid-model.html","verifie":true},{"id":"chess_puzzles","nom":"Chess Puzzles","tache":"raisonnement","etat":"actif","echelle":"unite","modeles":136,"poids_general":1.67,"difficulte":94.5,"pente":0.098,"en_une_phrase":"100 positions d'échecs inédites où il faut trouver le seul meilleur coup, celui que donne le moteur Stockfish.","notation":"Part de positions où le coup proposé est exactement le bon.","limites":"Epoch le dit lui-même : bien jouer aux échecs a peu de portée pratique. 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Le web figé ne reflète pas une recherche en conditions réelles.","mainteneur":"FutureSearch","url":"https://evals.futuresearch.ai/","verifie":true},{"id":"deepswe","nom":"DeepSWE","tache":"code","etat":"actif","echelle":"unite","modeles":26,"poids_general":1.15,"difficulte":86.5,"pente":0.1313,"en_une_phrase":"113 tâches de développement longues et inédites, dans 91 dépôts open source actifs et cinq langages.","notation":"Part d'essais réussis selon un vérificateur écrit à la main, sur quatre passages avec le harnais mini-SWE-agent.","limites":"Epoch le classe « défectueux » : au moins 23 tâches sur 113 échouent à cause du vérificateur lui-même, ce qui pénalise des solutions correctes.","mainteneur":"Datacurve","url":"https://deepswe.datacurve.ai/","verifie":true},{"id":"dtbench","nom":"DTBench","tache":"raisonnement","etat":"sature","echelle":"unite","modeles":168,"poids_general":1.67,"difficulte":62.1,"pente":0.0706,"en_une_phrase":"407 questions de théorie de la décision sur des dilemmes de type Newcomb, où le choix d'un agent renseigne sur celui de ses semblables.","notation":"Part de bonnes réponses ; le hasard donne 40 %.","limites":"Domaine très étroit, et les meilleurs modèles frôlent 99 %. Les questions d'opinion du jeu sont exclues du score.","mainteneur":"Redwood Research","url":"https://conceptualreasoning.ai/dtbench","verifie":true},{"id":"ebr_bench","nom":"EBR-bench (Earthborne Rangers)","tache":"agents","etat":"actif","echelle":"unite","modeles":23,"poids_general":1.67,"difficulte":95.3,"pente":0.1895,"en_une_phrase":"Le modèle rejoue dix fois un jeu de société complexe, Earthborne Rangers, pour voir s'il s'améliore avec l'expérience.","notation":"Part des 21 objectifs atteints lors des deux dernières parties, après huit parties d'apprentissage ; la meilleure des deux est retenue.","limites":"Seuls les cinq premiers jours de la campagne sont joués, sur 20 à 25. Le résultat dépend du harnais et de la façon dont l'historique des parties est résumé.","mainteneur":"Epoch AI","url":"https://epoch.ai/benchmarks/ebr-bench","verifie":true},{"id":"enigmaeval","nom":"EnigmaEval","tache":"raisonnement","etat":"actif","echelle":"unite","modeles":41,"poids_general":1.67,"difficulte":101.1,"pente":0.0983,"en_une_phrase":"1 184 énigmes de chasses aux énigmes, du niveau débutant au MIT Mystery Hunt, mêlant texte et images et exigeant de longues déductions.","notation":"Part d'énigmes dont la réponse finale est exactement la bonne.","limites":"Les énigmes viennent de concours publics, d'où un risque de fuite que le classement signale lui-même. Scores bas, 39 % au mieux.","mainteneur":"Scale AI, avec le Center for AI Safety et le MIT","url":"https://labs.scale.com/leaderboard/enigma_eval","verifie":true},{"id":"euroeval_allocine","nom":"EuroEval, Allociné (sentiment)","tache":"francais","etat":"sature","echelle":"pourcent","modeles":134,"poids_general":0.62,"difficulte":-82.8,"pente":0.0209,"en_une_phrase":"Le modèle dit si une critique de film en français est positive ou négative.","notation":"Un score d'accord avec la bonne réponse, de 0 à 100.","limites":"Épreuve facile : presque tous les modèles récents dépassent 90.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"euroeval_eltec","nom":"EuroEval, ELTeC (noms propres)","tache":"francais","etat":"actif","echelle":"pourcent","modeles":134,"poids_general":0.62,"difficulte":13.4,"pente":0.0128,"en_une_phrase":"Le modèle repère les personnes, les lieux et les organisations dans un texte en français.","notation":"Un score de 0 à 100 qui combine les entités trouvées et les entités manquées.","limites":"Tâche d'extraction, éloignée de l'usage courant d'un assistant.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"euroeval_fquad","nom":"EuroEval, FQuAD (compréhension)","tache":"francais","etat":"actif","echelle":"pourcent","modeles":134,"poids_general":0.62,"difficulte":-32.1,"pente":0.0083,"en_une_phrase":"Le modèle lit un texte en français et répond à une question dont la réponse s'y trouve.","notation":"La part de mots communs entre sa réponse et la réponse attendue.","limites":"Une réponse juste mais formulée autrement perd des points.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"euroeval_hellaswag_fr","nom":"EuroEval, HellaSwag (bon sens)","tache":"francais","etat":"actif","echelle":"pourcent","modeles":134,"poids_general":0.62,"difficulte":37.9,"pente":0.0305,"en_une_phrase":"Le modèle choisit la suite la plus plausible d'une situation décrite en français.","notation":"La part de bonnes réponses, corrigée du hasard.","limites":"Épreuve traduite de l'anglais, proche de la saturation pour les meilleurs modèles.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"euroeval_include_fr","nom":"EuroEval, INCLUDE (connaissances)","tache":"francais","etat":"actif","echelle":"pourcent","modeles":64,"poids_general":0.62,"difficulte":41,"pente":0.0277,"en_une_phrase":"Des questions à choix multiples de connaissances, posées en français.","notation":"La part de bonnes réponses, corrigée du hasard.","limites":"Mesure ce que le modèle sait, en français. Sa rédaction n'est pas évaluée.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"euroeval_multiloko_fr","nom":"EuroEval, MultiLoKo (connaissances locales)","tache":"francais","etat":"actif","echelle":"pourcent","modeles":64,"poids_general":0.62,"difficulte":79.4,"pente":0.0569,"en_une_phrase":"Des questions de culture propre aux pays francophones, posées en français.","notation":"La part de réponses exactes.","limites":"Peu de modèles mesurés. Exige la réponse exacte, au mot près.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"euroeval_orange_sum","nom":"EuroEval, OrangeSum (résumé)","tache":"francais","etat":"actif","echelle":"pourcent","modeles":69,"poids_general":0.62,"difficulte":353.8,"pente":0.0018,"en_une_phrase":"Le modèle résume un article de presse en français.","notation":"La proximité entre son résumé et un résumé de référence, mesurée automatiquement.","limites":"Un bon résumé différent de la référence est mal noté. Les écarts entre modèles sont faibles.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"euroeval_scala_fr","nom":"EuroEval, ScaLA (grammaire)","tache":"francais","etat":"actif","echelle":"pourcent","modeles":136,"poids_general":0.62,"difficulte":66.9,"pente":0.019,"en_une_phrase":"Le modèle doit dire si une phrase française est correcte ou si elle a été abîmée.","notation":"Un score d'accord avec la bonne réponse, de 0 à 100, corrigé du hasard.","limites":"Juge la détection des fautes. La qualité de ce que le modèle écrit lui-même n'est pas notée.","mainteneur":"EuroEval","url":"https://euroeval.com/leaderboards/Monolingual/french/","verifie":false},{"id":"exploitbench","nom":"ExploitBench","tache":"securite","etat":"actif","echelle":"unite","modeles":9,"poids_general":0,"difficulte":95.3,"pente":0.1041,"en_une_phrase":"Exploiter de vraies failles déjà corrigées du moteur JavaScript de Chrome, de l'accès au code vulnérable jusqu'à l'exécution de code arbitraire.","notation":"Part moyenne des 16 jalons atteints sur 41 failles, avec plusieurs essais par faille.","limites":"Un seul logiciel cible, le moteur V8. Peu de modèles testés, certains en préversion, et les failles sont déjà documentées publiquement.","mainteneur":"Université Carnegie Mellon","url":"https://exploitbench.ai/","verifie":true},{"id":"fiction_livebench","nom":"Fiction.LiveBench","tache":"donnees","etat":"archive","echelle":"unite","modeles":57,"poids_general":0,"difficulte":59,"pente":0.0846,"en_une_phrase":"Répondre à des questions sur de longues histoires : qui sait quoi, dans quel ordre, ce qui est sous-entendu.","notation":"Part de bonnes réponses quand l'histoire fait environ 16 000 jetons ; le classement d'origine teste aussi des longueurs jusqu'à 192 000 jetons.","limites":"Seulement 36 questions sur 30 histoires. La longueur retenue ici, 16 000 jetons, est courte face aux contextes des modèles actuels.","mainteneur":"Fiction.live","url":"https://fiction.live/stories/Fiction-liveBench-Mar-14-2025/oQdzQvKHw8JyXbN87/home","verifie":true},{"id":"forecastbench","nom":"ForecastBench","tache":"raisonnement","etat":"actif","echelle":"pourcent","modeles":77,"poids_general":1.67,"difficulte":193.1,"pente":0.0119,"en_une_phrase":"Prédire des événements à venir (marchés de prédiction, indicateurs économiques, conflits) en donnant une probabilité.","notation":"Indice de Brier ajusté à la difficulté, de 0 à 100 : 100 pour des prévisions parfaites, 50 pour une réponse sans information.","limites":"Aucune fuite possible puisque la réponse n'existe pas encore, mais les écarts sont minces (de 50 à 63) et il faut attendre l'issue des questions.","mainteneur":"Forecasting Research Institute","url":"https://www.forecastbench.org/","verifie":true},{"id":"frontiercode","nom":"FrontierCode","tache":"code","etat":"actif","echelle":"unite","modeles":37,"poids_general":1.15,"difficulte":94.7,"pente":0.0903,"en_une_phrase":"Produire, pour un vrai ticket d'un projet open source, un correctif assez propre pour être accepté par les responsables du projet.","notation":"Note moyenne sur cinq essais selon une grille pondérée, sur les 100 tâches les plus dures ; un seul critère bloquant manqué donne zéro.","limites":"Classement tenu par Cognition, éditeur de l'agent Devin, qui y figure. Le score retenu est celui du meilleur réglage de chaque modèle, avec des harnais différents.","mainteneur":"Cognition","url":"https://cognition.com/frontiercode","verifie":true},{"id":"frontiermath","nom":"FrontierMath, paliers 1 à 3 (version 2025)","tache":"maths","etat":"actif","echelle":"unite","modeles":70,"poids_general":1.25,"difficulte":80.2,"pente":0.1654,"en_une_phrase":"Environ 300 problèmes de mathématiques inédits, écrits par des mathématiciens, qui demandent chacun plusieurs heures à un spécialiste.","notation":"Un point par réponse exacte, vérifiée par programme ; le score est la part de problèmes résolus sur le jeu privé.","limites":"Version remplacée en juin 2026 : plus de quatre énoncés sur dix ont dû être corrigés, et Epoch estime le score maximal à 57 %. OpenAI a financé le jeu et en détient une partie.","mainteneur":"Epoch AI","url":"https://epoch.ai/benchmarks/frontiermath","verifie":true},{"id":"frontiermath_erdos","nom":"FrontierMath Erdős","tache":"maths","etat":"actif","echelle":"unite","modeles":5,"poids_general":1.25,"difficulte":179.6,"pente":0.0575,"en_une_phrase":"68 conjectures de Paul Erdős que personne n'a résolues, à démontrer ou à réfuter par une preuve formelle en Lean.","notation":"Part des 68 conjectures résolues, la preuve étant vérifiée par la machine ; budget de 300 dollars et 72 heures par problème.","limites":"Presque tous les scores sont à zéro : le test guette une percée et ne classe pas encore les modèles. Une conjecture résolue peut ensuite fuiter dans les données d'entraînement.","mainteneur":"Epoch AI, avec le site ErdősProblems.com de Thomas Bloom","url":"https://epoch.ai/benchmarks/frontiermath-erdos","verifie":true},{"id":"frontiermath_tier_4","nom":"FrontierMath, palier 4 (version 2025)","tache":"maths","etat":"actif","echelle":"unite","modeles":55,"poids_general":1.25,"difficulte":90.1,"pente":0.1906,"en_une_phrase":"Une cinquantaine de problèmes de niveau recherche, les plus durs de FrontierMath, qui peuvent occuper un mathématicien plusieurs jours.","notation":"Un point par réponse exacte, vérifiée par programme ; le score est la part de problèmes résolus sur le jeu privé.","limites":"Version remplacée en juin 2026 après correction de 12 énoncés et retrait de 7 autres ; Epoch estime le score maximal à 60 %. OpenAI a financé le jeu et en détient une partie.","mainteneur":"Epoch AI","url":"https://epoch.ai/benchmarks/frontiermath","verifie":true},{"id":"frontiermath_tier_4_v2","nom":"FrontierMath, palier 4 (v2)","tache":"maths","etat":"sature","echelle":"unite","modeles":59,"poids_general":1.25,"difficulte":90.3,"pente":0.232,"en_une_phrase":"43 problèmes de niveau recherche, corrigés en 2026, qui peuvent occuper un mathématicien professionnel plusieurs jours.","notation":"Un point par réponse exacte, vérifiée par programme ; le score est la part de problèmes résolus sur le jeu privé.","limites":"Avec 43 problèmes, chacun pèse plus de deux points, et le meilleur modèle frôle déjà le maximum. OpenAI a financé le jeu et en détient une partie.","mainteneur":"Epoch AI","url":"https://epoch.ai/benchmarks/frontiermath","verifie":true},{"id":"frontiermath_tiers_1_3_v2","nom":"FrontierMath, paliers 1 à 3 (v2)","tache":"maths","etat":"actif","echelle":"unite","modeles":77,"poids_general":1.25,"difficulte":81.8,"pente":0.1307,"en_une_phrase":"295 problèmes de mathématiques inédits et corrigés en 2026, du niveau licence avancée à celui d'un chercheur.","notation":"Un point par réponse exacte, vérifiée par programme ; le score est la part de problèmes résolus sur le jeu privé.","limites":"Le jeu est privé, donc peu exposé aux fuites, mais OpenAI l'a financé et a accès à une partie des problèmes. Les meilleurs modèles dépassent déjà 90 %.","mainteneur":"Epoch AI","url":"https://epoch.ai/benchmarks/frontiermath","verifie":true},{"id":"frontierswe","nom":"FrontierSWE","tache":"code","etat":"actif","echelle":"unite","modeles":16,"poids_general":1.15,"difficulte":96,"pente":0.1732,"en_une_phrase":"34 chantiers logiciels de très longue haleine : réécrire git en Zig, décoder la parole dans des signaux cérébraux, entraîner un modèle météo.","notation":"Note moyenne sur cinq essais par tâche, avec un budget de 20 heures par essai, dans le harnais maison « proximus ».","limites":"34 tâches seulement et un coût élevé, jusqu'à 1 000 dollars en moyenne par tâche. Un seul harnais est utilisé, celui de l'éditeur du benchmark.","mainteneur":"Proximal","url":"https://www.frontierswe.com/","verifie":true},{"id":"furniture_assembly","nom":"Furniture Assembly","tache":"vision","etat":"actif","echelle":"unite","modeles":28,"poids_general":1.67,"difficulte":96.5,"pente":0.325,"en_une_phrase":"Regarder la photo d'un meuble IKEA monté et dire, notice à l'appui, si le montage est correct et à quelle étape s'est glissée l'erreur.","notation":"Part de bonnes réponses sur 60 photos de trois meubles ; la description de l'erreur est jugée avec indulgence par un modèle correcteur.","limites":"Trois meubles et 60 photos seulement. Répondre au hasard donne déjà environ 30 %, et les modèles sans vision sont exclus.","mainteneur":"Epoch AI","url":"https://epoch.ai/benchmarks/furniture-assembly","verifie":true},{"id":"gbaeval","nom":"GBAEval","tache":"code","etat":"actif","echelle":"unite","modeles":23,"poids_general":1.15,"difficulte":89.9,"pente":0.2963,"en_une_phrase":"Écrire de zéro, en 24 heures au plus, un émulateur de Game Boy Advance en Rust et WebAssembly.","notation":"Score global de 0 à 1 : l'émulateur est comparé à l'émulateur de référence Mesen2 sur l'image, le comportement matériel et le son.","limites":"Une seule tâche, très particulière, et des émulateurs open source existent dans les données d'entraînement. Le site ne dit pas clairement qui tient le benchmark.","mainteneur":"Équipe GBAEval (gbaeval.com)","url":"https://gbaeval.com/","verifie":true},{"id":"gdp_pdf","nom":"GDP.pdf","tache":"donnees","etat":"actif","echelle":"unite","modeles":30,"poids_general":0,"difficulte":108.8,"pente":0.0697,"en_une_phrase":"100 questions sur de vrais documents PDF professionnels (finance, santé, droit, ingénierie) : tableaux, schémas, formulaires, clauses de contrat.","notation":"Part de questions où la réponse remplit tous les critères d'une grille propre à chaque tâche.","limites":"Scores bas en tout ou rien, 31 % au mieux. Le classement est tenu par Surge AI, fournisseur de données pour les laboratoires d'IA.","mainteneur":"Surge AI","url":"https://surgehq.ai/leaderboards/gdp-pdf","verifie":true},{"id":"gdpval","nom":"GDPval","tache":"agents","etat":"archive","echelle":"unite","modeles":11,"poids_general":0,"difficulte":88.1,"pente":0.0595,"en_une_phrase":"Des tâches réelles de 44 métiers (finance, santé, administration, industrie) dont le livrable est un document, un tableur ou une présentation.","notation":"Part des duels gagnés face au travail d'un professionnel humain, jugés à l'aveugle par des experts du métier.","limites":"Benchmark conçu et tenu par OpenAI, qui y classe ses propres modèles. Une dizaine de modèles seulement y figurent.","mainteneur":"OpenAI","url":"https://evals.openai.com/gdpval/leaderboard","verifie":true},{"id":"geobench","nom":"GeoBench","tache":"vision","etat":"archive","echelle":"unite","modeles":27,"poids_general":0,"difficulte":38,"pente":0.0261,"en_une_phrase":"Deviner où une photo de rue a été prise, comme au jeu GeoGuessr, à partir des panneaux, de la végétation ou de l'architecture.","notation":"Part de photos dont le pays est correctement identifié sur la carte principale du classement (ACW).","limites":"Projet personnel. Le score retenu ne regarde que le pays trouvé, alors que le classement mesure aussi la distance au bon endroit.","mainteneur":"ccmdi (projet personnel)","url":"https://geobench.org/","verifie":true},{"id":"gpqa_diamond","nom":"GPQA Diamond","tache":"sciences","etat":"actif","echelle":"unite","modeles":208,"poids_general":2,"difficulte":60.8,"pente":0.0852,"en_une_phrase":"Des questions à choix multiples de biologie, chimie et physique, écrites par des docteurs et trop dures pour un non-spécialiste.","notation":"Part de bonnes réponses sur 198 questions à quatre choix ; répondre au hasard donne 25 %.","limites":"Les meilleurs modèles atteignent 95 % quand des experts humains font environ 70 % : le test est saturé et ses questions circulent en ligne.","mainteneur":"Epoch AI pour l'évaluation ; questions de Rein et al. (université de New York, 2023)","url":"https://epoch.ai/benchmarks/gpqa-diamond","verifie":true},{"id":"gsm8k","nom":"GSM8K","tache":"maths","etat":"archive","echelle":"unite","modeles":82,"poids_general":0,"difficulte":2.7,"pente":0.0479,"en_une_phrase":"Des problèmes d'arithmétique de niveau école et collège, rédigés en langage courant, à résoudre en quelques étapes de calcul.","notation":"Part de réponses numériques exactement justes.","limites":"Saturé et très présent dans les données d'entraînement. Il ne sert plus qu'à situer d'anciens modèles.","mainteneur":"OpenAI (Cobbe et al., 2021)","url":"https://github.com/openai/grade-school-math","verifie":true},{"id":"gso_bench","nom":"GSO","tache":"code","etat":"actif","echelle":"unite","modeles":26,"poids_general":1.15,"difficulte":92.9,"pente":0.1403,"en_une_phrase":"Accélérer un vrai logiciel open source : le modèle reçoit le code et un test de performance, et doit égaler l'optimisation d'un expert.","notation":"Part des 102 tâches où un seul essai atteint au moins 95 % du gain de vitesse humain tout en passant les tests (OPT@1).","limites":"Un seul harnais, OpenHands, est utilisé. Certains gains venaient de tricheries sur les tests, d'où un second score corrigé, publié à part depuis fin 2025.","mainteneur":"UC Berkeley","url":"https://gso-bench.github.io/","verifie":true},{"id":"hellaswag","nom":"HellaSwag","tache":"autre","etat":"archive","echelle":"unite","modeles":75,"poids_general":0,"difficulte":-54.7,"pente":0.0156,"en_une_phrase":"Choisir la suite la plus plausible d'une courte scène du quotidien parmi quatre propositions, dont trois pièges écrits par une machine.","notation":"Part de bonnes réponses ; le hasard donne 25 %.","limites":"Test de 2019, saturé et largement présent dans les données d'entraînement. Il ne dit rien des modèles actuels.","mainteneur":"Zellers et al. (université de Washington et Allen Institute for AI)","url":"https://rowanzellers.com/hellaswag/","verifie":true},{"id":"hle","nom":"Humanity's Last Exam","tache":"sciences","etat":"actif","echelle":"unite","modeles":44,"poids_general":2,"difficulte":95.6,"pente":0.09,"en_une_phrase":"2 500 questions de niveau expert dans plus de cent disciplines, écrites par près de mille chercheurs pour mettre les modèles en échec.","notation":"Part de réponses exactes ; le classement publie aussi l'erreur de calibration, qui mesure l'excès de confiance du modèle.","limites":"Epoch le classe « défectueux » : sur 48 questions vérifiées, 22 avaient un énoncé ou un corrigé fautif, ce qui borne le score atteignable.","mainteneur":"Center for AI Safety et Scale AI","url":"https://lastexam.ai/","verifie":true},{"id":"lambada","nom":"LAMBADA","tache":"autre","etat":"archive","echelle":"unite","modeles":26,"poids_general":0,"difficulte":-111.4,"pente":0.0096,"en_une_phrase":"Deviner le dernier mot d'un passage de roman, ce qui exige d'avoir suivi tout le paragraphe.","notation":"Part de mots exactement retrouvés.","limites":"Test de 2016, pensé pour les modèles d'avant ChatGPT. Les scores viennent d'articles anciens aux réglages variés.","mainteneur":"Paperno et al. (université de Trente, 2016)","url":"https://arxiv.org/abs/1606.06031","verifie":true},{"id":"lech_mazur_writing","nom":"Lech Mazur Writing","tache":"ecriture","etat":"archive","echelle":"autre","modeles":44,"poids_general":0,"difficulte":19.7,"pente":0.0268,"en_une_phrase":"Écrire de courtes nouvelles de 400 à 500 mots qui intègrent dix éléments imposés : personnage, objet, lieu, époque, ton.","notation":"Note moyenne sur 10 donnée par sept modèles correcteurs selon une grille de 16 questions, sur 500 nouvelles.","limites":"Ce sont des IA qui notent des IA, en anglais. Le classement est figé à sa version d'août 2025, les suivantes ayant changé de barème.","mainteneur":"Lech Mazur (projet personnel)","url":"https://github.com/lechmazur/writing","verifie":true},{"id":"livebench","nom":"LiveBench","tache":"autre","etat":"archive","echelle":"pourcent","modeles":48,"poids_general":0,"difficulte":51.1,"pente":0.0595,"en_une_phrase":"Un test généraliste aux questions renouvelées régulièrement : raisonnement, code, maths, analyse de données, langue et respect des consignes.","notation":"Moyenne sur 100 des catégories ; chaque question a une réponse objective, corrigée automatiquement sans IA correctrice.","limites":"Les données d'Epoch sont figées sur le jeu de questions de novembre 2024 et ne contiennent aucun modèle sorti après novembre 2025.","mainteneur":"Équipe LiveBench (White et al., Abacus.AI)","url":"https://livebench.ai/","verifie":true},{"id":"livebench_code","nom":"LiveBench, code","tache":"code","etat":"archive","echelle":"pourcent","modeles":48,"poids_general":0,"difficulte":53.8,"pente":0.0711,"en_une_phrase":"Des exercices de programmation récents, tirés de concours publiés après la sortie des modèles.","notation":"La part d'exercices dont le code passe les tests.","limites":"Des exercices courts, éloignés du travail sur un vrai projet. Dernière édition en juin 2026.","mainteneur":"LiveBench (Abacus.AI, NYU et coauteurs)","url":"https://livebench.ai","verifie":true},{"id":"livebench_maths","nom":"LiveBench, mathématiques","tache":"maths","etat":"archive","echelle":"pourcent","modeles":48,"poids_general":0,"difficulte":51.4,"pente":0.0832,"en_une_phrase":"Des problèmes de mathématiques récents, de niveau concours et olympiades.","notation":"La part de bonnes réponses, vérifiée automatiquement.","limites":"Juge la réponse finale, sans regarder la démonstration. Dernière édition en juin 2026.","mainteneur":"LiveBench (Abacus.AI, NYU et coauteurs)","url":"https://livebench.ai","verifie":true},{"id":"livebench_raisonnement","nom":"LiveBench, raisonnement","tache":"raisonnement","etat":"archive","echelle":"pourcent","modeles":48,"poids_general":0,"difficulte":51.8,"pente":0.0866,"en_une_phrase":"Des énigmes logiques et des déductions dont les questions sont renouvelées régulièrement.","notation":"La part de bonnes réponses, vérifiée automatiquement, sans juge humain ni modèle juge.","limites":"Les questions récentes ne sont pas publiées. 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