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Favicon de openai

OpenAI: GPT-5.1

openai/gpt-5.1

Comparer

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks. The model produces clearer, more grounded explanations with reduced jargon, making it easier to follow even on technical or multi-step problems.

Built for broad task coverage, GPT-5.1 delivers consistent gains across math, coding, and structured analysis workloads, with more coherent long-form answers and improved tool-use reliability. It also features refined conversational alignment, enabling warmer, more intuitive responses without compromising precision. GPT-5.1 serves as the primary full-capability successor to GPT-5

Modalités
Prix en entrée / sortie
1,25 $US / 10 $USpar 1M
Contexte
400K
Publié
13 nov. 2025
Comparer
FournisseursTarificationPerformancesDisponibilitéÉvaluations comparativesApplicationsActivitéFAQExplorer

Fournisseurs

Différentes entreprises hébergent le même modèle. OpenRouter achemine votre requête vers l’une d’elles selon le mode de routage choisi — Balanced (prix + vitesse), Nitro (le plus rapide) ou Floor (le moins cher).

Tarification

Le prix moyen que les clients paient réellement pour ce modèle, à côté des prix affichés par les fournisseurs. Grâce à la mise en cache et aux remises, le prix réellement payé est souvent bien inférieur au prix affiché.

Performances

Le débit est la vitesse à laquelle le modèle écrit (jetons par seconde — plus il est élevé, mieux c’est). La latence est le temps total d’aller-retour (plus il est faible, mieux c’est). Le TTFT est le délai avant le premier jeton — le temps avant de voir quelque chose apparaître (plus il est faible, mieux c’est).

Disponibilité

La disponibilité correspond au pourcentage des 3 derniers jours pendant lequel au moins un fournisseur répondait aux requêtes. La disponibilité du service correspond au pourcentage de temps pendant lequel l’inférence a été assurée avec succès. OpenRouter surveille en continu les fournisseurs et utilise le meilleur fournisseur suivant lorsque l’un d’eux renvoie une erreur.

Évaluations comparatives

Scores aux évaluations standardisées et réponses de ce modèle aux prompts communs des tests de référence. Des pourcentages plus élevés sont meilleurs — et chaque rang indique la position de ce modèle parmi les modèles évalués sur cette source.

Résumé des scores aux tests de performance pour OpenAI: GPT-5.1 (Artificial Analysis, Design Arena et Vals AI)
SourceTest de performanceScore
Artificial AnalysisGPT-5.1 (High) Coding Index49,4
Artificial AnalysisGPT-5.1 (High) GPQA Diamond87.3%
Artificial AnalysisGPT-5.1 (High) HLE28.5%
Artificial AnalysisGPT-5.1 (High) IFBench72.9%
Artificial AnalysisGPT-5.1 (High) τ²-Bench Telecom81.9%
Artificial AnalysisGPT-5.1 (High) AA-LCR80.0%
Artificial AnalysisGPT-5.1 (High) τ-Bench Banking15.9%
Artificial AnalysisGPT-5.1 (High) GDPval-AA16.7%
Artificial AnalysisGPT-5.1 (High) CritPt4.9%
Artificial AnalysisGPT-5.1 (High) LiveCodeBench86.8%
Artificial AnalysisGPT-5.1 (High) Terminal-Bench Hard45.5%
Artificial AnalysisGPT-5.1 (High) Terminal-Bench 2.152.4%
Artificial AnalysisGPT-5.1 (High) MMLU-Pro87.0%
Artificial AnalysisGPT-5.1 (High) AIME 202594.0%
Artificial AnalysisGPT-5.1 (Non-reasoning) GPQA Diamond64.3%
Artificial AnalysisGPT-5.1 (Non-reasoning) HLE5.3%
Artificial AnalysisGPT-5.1 (Non-reasoning) IFBench43.2%
Artificial AnalysisGPT-5.1 (Non-reasoning) τ²-Bench Telecom46.5%
Artificial AnalysisGPT-5.1 (Non-reasoning) AA-LCR45.0%
Artificial AnalysisGPT-5.1 (Non-reasoning) CritPt0.0%
Artificial AnalysisGPT-5.1 (Non-reasoning) LiveCodeBench49.4%
Artificial AnalysisGPT-5.1 (Non-reasoning) Terminal-Bench Hard22.7%
Artificial AnalysisGPT-5.1 (Non-reasoning) MMLU-Pro80.1%
Artificial AnalysisGPT-5.1 (Non-reasoning) AIME 202538.0%
Design ArenaGPT-5.1 (High) Models Arena 3D Elo1058
Design ArenaGPT-5.1 (High) Models Arena Asciiart Elo1058
Design ArenaGPT-5.1 (High) Models Arena Code Categories Elo1169
Design ArenaGPT-5.1 (High) Models Arena Data Visualization Elo1194
Design ArenaGPT-5.1 (High) Models Arena Game Development Elo1177
Design ArenaGPT-5.1 (High) Models Arena SVG Elo1146
Design ArenaGPT-5.1 (High) Models Arena UI Component Elo1152
Design ArenaGPT-5.1 (High) Models Arena Website Elo1185
Vals AIGPT 5.1 AIME93.3%
Vals AIGPT 5.1 CaseLaw v273.4%
Vals AIGPT 5.1 CorpFin v263.8%
Vals AIGPT 5.1 Finance Agent v1.155.3%
Vals AIGPT 5.1 GPQA Diamond86.6%
Vals AIGPT 5.1 IOI v121.5%
Vals AIGPT 5.1 LiveCodeBench86.5%
Vals AIGPT 5.1 LegalBench85.7%
Vals AIGPT 5.1 MedCode52.7%
Vals AIGPT 5.1 MedQA96.4%
Vals AIGPT 5.1 MedScribe88.1%
Vals AIGPT 5.1 MGSM93.0%
Vals AIGPT 5.1 MMLU Pro86.4%
Vals AIGPT 5.1 MMMU Pro83.2%
Vals AIGPT 5.1 MortgageTax61.4%
Vals AIGPT 5.1 SAGE v143.2%
Vals AIGPT 5.1 SWE-bench69.8%
Vals AIGPT 5.1 TaxEval v274.9%
Vals AIGPT 5.1 Terminal-Bench 2.044.9%
Vals AIGPT 5.1 Vals Index53.6%
Vals AIGPT 5.1 Vals Multimodal Index52.7%
Vals AIGPT 5.1 Vibe Code Bench v1.124.6%

Applications

Applications publiques qui envoient le plus de trafic à ce modèle. Un bon indicateur des charges de travail réelles en production — et un aperçu des cas d’usage auxquels ce modèle convient le mieux.

Activité

Volume de jetons et trafic des requêtes vers ce modèle au fil du temps.

API

Code prêt à l’emploi pour appeler ce modèle. L’API d’OpenRouter est compatible avec OpenAI — la plupart des SDK fonctionnent en remplaçant simplement l’URL de base. Seul le slug du modèle ci-dessous change d’un modèle à l’autre.

Disponible via le routage au sein de la région UE

OpenAI: GPT-5.1 est disponible via le routage intrarégional dans l’UE. Les requêtes envoyées à eu.openrouter.ai sont déchiffrées dans l’UE et acheminées uniquement vers des points de terminaison partagés de fournisseurs en Europe (UE/EEE, Royaume-Uni et Suisse).

Fournisseurs en Europe
Azure
Tarifs en Europe
  • Azure : 1,375 $US/M tokens en entrée, 11 $US/M tokens en sortie
URL de base
https://eu.openrouter.ai/api/v1
Offre
Nécessite Business ou Enterprise. En libre-service avec Business : sans contrat ni minimum mensuel. OpenRouter Business pour le routage au sein de l’UE

Blocage en cas d’échec : si aucun point de terminaison de fournisseur partagé en Europe n’est disponible, la requête renvoie une erreur au lieu de quitter la région. Les requêtes traitées avec votre propre clé BYOK sont acheminées vers la région de votre déploiement, que vous contrôlez. Documentation sur le routage intrarégional

Explorer d’autres modèles

Modèles d’IA avec vision : LLM multimodaux pour la compréhension d’imagesCollectionClassements des modèles d’IAClassement
Latence / débit
1,250 $US10,00 $US0,1300 $US1,00s66 tps
100,00 %
1,250 $US10,00 $US0,1250 $US1,14s66 tps
100,00 %
Non utilisé pour le routage Standard :Pourquoi ces points de terminaison ne sont pas utilisés
Flex
0,625 $US5,00 $US0,0625 $US0,75s157 tps
100,00 %
1,375 $US11,00 $US0,1430 $US----
100,00 %
Fast
2,500 $US20,00 $US0,2500 $US----
--
Débit
157jetons/s

P50, meilleur résultat tous fournisseurs confondus

Latence
0,75s

P50, meilleur fournisseur

Évaluations comparatives AutoExacto
TAU-BenchOpenAI76,0 %
Disponibilité (3 j)Le modèle était joignable. Requête acheminée vers un fournisseur.
100,00 %
Disponibilité (3 j)Le modèle a renvoyé un résultat d’inférence, quel que soit le fournisseur. Les erreurs et les réponses vides sont comptabilisées à son détriment.
99,96 %

Disponibilité au cours des 3 derniers jours

72 dernières heures
Disponibilité 99,96 %
Il y a 3 joursIl y a 2 joursHierMaintenant

Disponibilité au cours des dernières 24 heures

OpenRouter Availability
99,98 %
Without Routing
99,07 %

Lorsqu’une erreur survient chez un fournisseur en amont, nous pouvons rétablir le service en routant la requête vers un autre fournisseur opérationnel, si les filtres de votre requête le permettent. Vous pouvez accéder par programmation aux données de disponibilité de chaque fournisseur via l’ API des points de terminaison. Découvrez nos options d’ équilibrage de charge et de routage des fournisseurs.

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Dify.AI
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1,12Bjetons
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5.
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Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
697Mjetons

Questions fréquentes

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks.

GPT-5.1 coûte 1,25 $US/M de jetons d’entrée et 10,00 $US/M de jetons de sortie, avec des tarifs distincts pour Cache Read à 0,13 $US/M tokens.

GPT-5.1 dispose d’une fenêtre de contexte de 400 000 jetons. Il prend en charge jusqu’à 128 000 jetons de complétion.

Oui. GPT-5.1 accepte tools et tool_choice pour l’appel de fonctions. Il prend également en charge les sorties structurées via un schéma JSON dans response_format.

GPT-5.1 accepte images, texte et fichiers tels que des PDF en entrée et renvoie texte.

GPT-5.1 est proposé par 2 fournisseurs sur OpenRouter : OpenAI et Azure. Les requêtes sont acheminées vers le meilleur fournisseur disponible, avec un basculement automatique vers les autres, et vous pouvez fixer ou exclure des fournisseurs avec le routage des fournisseurs.

GPT-5.1 est sorti le 13 novembre 2025.

Autres modèles de OpenAI

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6.1 Terra

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GPT-6.1 Terra (batch)

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GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

Décisions0,10 $US / 0 $US
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6.1 Sol Pro (batch)

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6.1 Sol

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GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

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GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TexteContexte de 1,1M0,10 $US / 0,50 $US
GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6 Luna

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GPT-6 Luna (batch)

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GPT-6 Sol Pro

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