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OpenAI: GPT-5.5 (batch)

openai/gpt-5.5:batch

Comparer

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

Modalités
Prix en entrée / sortie
2,50 $US / 15 $USpar 1M
Contexte
1,1M
Publié
24 avr. 2026
Date limite des connaissances
déc. 2025
Comparer
FournisseursTarificationPerformancesDisponibilitéÉvaluations comparativesApplicationsActivitéDocumentationFAQExplorer

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-5.5 (batch) (Artificial Analysis, Design Arena et Vals AI)
SourceTest de performanceScore
Artificial AnalysisGPT-5.5 (High) Coding Index71,6
Artificial AnalysisGPT-5.5 (High) Agentic Index34,3
Artificial AnalysisGPT-5.5 (High) GPQA Diamond93.2%
Artificial AnalysisGPT-5.5 (High) HLE45.0%
Artificial AnalysisGPT-5.5 (High) IFBench71.6%
Artificial AnalysisGPT-5.5 (High) τ²-Bench Telecom93.0%
Artificial AnalysisGPT-5.5 (High) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (High) τ-Bench Banking36.7%
Artificial AnalysisGPT-5.5 (High) GDPval-AA41.8%
Artificial AnalysisGPT-5.5 (High) CritPt25.4%
Artificial AnalysisGPT-5.5 (High) SciCode56.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench Hard59.8%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 4.09.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 2.179.4%
Artificial AnalysisGPT-5.5 (Low) Coding Index60,9
Artificial AnalysisGPT-5.5 (Low) GPQA Diamond91.0%
Artificial AnalysisGPT-5.5 (Low) HLE32.7%
Artificial AnalysisGPT-5.5 (Low) IFBench64.4%
Artificial AnalysisGPT-5.5 (Low) τ²-Bench Telecom83.9%
Artificial AnalysisGPT-5.5 (Low) AA-LCR81.0%
Artificial AnalysisGPT-5.5 (Low) τ-Bench Banking24.9%
Artificial AnalysisGPT-5.5 (Low) GDPval-AA27.7%
Artificial AnalysisGPT-5.5 (Low) CritPt8.0%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench Hard52.3%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench 2.165.5%
Artificial AnalysisGPT-5.5 (Xhigh) Coding Index74,9
Artificial AnalysisGPT-5.5 (Xhigh) Agentic Index36,4
Artificial AnalysisGPT-5.5 (Xhigh) GPQA Diamond93.5%
Artificial AnalysisGPT-5.5 (Xhigh) HLE45.8%
Artificial AnalysisGPT-5.5 (Xhigh) IFBench75.9%
Artificial AnalysisGPT-5.5 (Xhigh) τ²-Bench Telecom93.9%
Artificial AnalysisGPT-5.5 (Xhigh) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (Xhigh) τ-Bench Banking39.0%
Artificial AnalysisGPT-5.5 (Xhigh) GDPval-AA43.0%
Artificial AnalysisGPT-5.5 (Xhigh) CritPt27.1%
Artificial AnalysisGPT-5.5 (Xhigh) SciCode55.8%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench Hard60.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 4.014.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 2.184.3%
Artificial AnalysisGPT-5.5 (Non-reasoning) Coding Index56,5
Artificial AnalysisGPT-5.5 (Non-reasoning) GPQA Diamond76.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) HLE13.7%
Artificial AnalysisGPT-5.5 (Non-reasoning) IFBench46.1%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ²-Bench Telecom69.3%
Artificial AnalysisGPT-5.5 (Non-reasoning) AA-LCR64.0%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ-Bench Banking14.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) GDPval-AA23.9%
Artificial AnalysisGPT-5.5 (Non-reasoning) CritPt1.4%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench Hard49.2%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench 2.161.0%
Artificial AnalysisGPT-5.5 (Medium) Coding Index71,5
Artificial AnalysisGPT-5.5 (Medium) Agentic Index29,5
Artificial AnalysisGPT-5.5 (Medium) GPQA Diamond92.6%
Artificial AnalysisGPT-5.5 (Medium) HLE42.4%
Artificial AnalysisGPT-5.5 (Medium) IFBench71.0%
Artificial AnalysisGPT-5.5 (Medium) τ²-Bench Telecom91.8%
Artificial AnalysisGPT-5.5 (Medium) AA-LCR83.0%
Artificial AnalysisGPT-5.5 (Medium) τ-Bench Banking29.9%
Artificial AnalysisGPT-5.5 (Medium) GDPval-AA37.1%
Artificial AnalysisGPT-5.5 (Medium) CritPt18.6%
Artificial AnalysisGPT-5.5 (Medium) SciCode54.5%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench Hard57.6%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 4.05.1%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 2.180.5%
Design ArenaGPT-5.5 Agents Arena Agenticgamedev Elo1127
Design ArenaGPT-5.5 Agents Arena Agentichtmlslides Elo1084
Design ArenaGPT-5.5 Agents Arena Agenticslides Elo1150
Design ArenaGPT-5.5 Agents Arena Agenticslides(Html) Elo1077
Design ArenaGPT-5.5 Agents Arena Agenticslides(Python-Pptx) Elo1155
Design ArenaGPT-5.5 Agents Arena Androidnative Elo1160
Design ArenaGPT-5.5 Agents Arena Full Stack Elo1089
Design ArenaGPT-5.5 Agents Arena Godotgamedev Elo1173
Design ArenaGPT-5.5 Agents Arena Htmlslides Elo963
Design ArenaGPT-5.5 Agents Arena Mobile Apps Elo1142
Design ArenaGPT-5.5 Agents Arena Pptxslides Elo1157
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1152
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1065
Design ArenaGPT-5.5 Agents Arena Webapps Elo1102
Design ArenaGPT-5.5 Models Arena 3D Elo1195
Design ArenaGPT-5.5 Models Arena Asciiart Elo1253
Design ArenaGPT-5.5 Models Arena Code Categories Elo1258
Design ArenaGPT-5.5 Models Arena Data Visualization Elo1263
Design ArenaGPT-5.5 Models Arena Game Development Elo1291
Design ArenaGPT-5.5 Models Arena SVG Elo1229
Design ArenaGPT-5.5 Models Arena UI Component Elo1255
Design ArenaGPT-5.5 Models Arena Website Elo1255
Vals AIGPT 5.5 CaseLaw v266.2%
Vals AIGPT 5.5 Code Migration45.2%
Vals AIGPT 5.5 CorpFin v268.4%
Vals AIGPT 5.5 EMB64.5%
Vals AIGPT 5.5 Finance Agent (v2)51.8%
Vals AIGPT 5.5 GPQA Diamond93.2%
Vals AIGPT 5.5 Harvey's Legal Agent Benchmark v13.8%
Vals AIGPT 5.5 LiveCodeBench85.3%
Vals AIGPT 5.5 LegalBench86.5%
Vals AIGPT 5.5 Legal Research Bench40.4%
Vals AIGPT 5.5 MedCode49.1%
Vals AIGPT 5.5 MedScribe86.9%
Vals AIGPT 5.5 MMLU Pro88.1%
Vals AIGPT 5.5 MMMU Pro88.3%
Vals AIGPT 5.5 MortgageTax68.8%
Vals AIGPT 5.5 ProgramBench0.5%
Vals AIGPT 5.5 ProofBench v150.0%
Vals AIGPT 5.5 Public Benefits Bench v1.160.9%
Vals AIGPT 5.5 Vals RSI Index16.5%
Vals AIGPT 5.5 SAGE v151.5%
Vals AIGPT 5.5 SkillsBench62.2%
Vals AIGPT 5.5 SRE Bench3.8%
Vals AIGPT 5.5 SWE-bench82.6%
Vals AIGPT 5.5 Tax Agent Bench21.8%
Vals AIGPT 5.5 TaxEval v275.0%
Vals AIGPT 5.5 Terminal-Bench 2.176.4%
Vals AIGPT 5.5 Vals Index57.4%
Vals AIGPT 5.5 Vals Multimodal Index68.1%
Vals AIGPT 5.5 Vibe Code Bench v1.169.8%

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.

Versions de OpenAI: GPT Sol

Actuellement indisponible via le routage dans la région UE. Documentation sur le routage intrarégional

Documentation

Guides, recueils de recettes, articles de blog et outils pour développer avec OpenAI: GPT-5.5 (batch) sur OpenRouter.

  • GPT-5.4 Migration GuideRecueil de recettes
  • GPT-5.5 Price Increase: What It Actually CostsArticle de blog

Explorer d’autres modèles

Modèles d’IA avec vision : LLM multimodaux pour la compréhension d’imagesCollectionClassements des modèles d’IAClassement
2,50 $US15,00 $US0,25 $US----
--
Évaluations comparatives AutoExacto
GPQA DiamondTAU-BenchOpenAI93,9 %78,0 %

Les données de disponibilité sont encore insuffisantes pour être affichées.

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.

Pas encore assez de données sur les applications utilisant ce modèle.

Questions fréquentes

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

La documentation de GPT-5.5 (batch) sur OpenRouter comprend le guide de recettes GPT-5.4 Migration Guide et l’article de blog GPT-5.5 Price Increase: What It Actually Costs. Le guide de démarrage rapide présente les clés API et votre première requête, et la référence API répertorie tous les paramètres.

GPT-5.5 (batch) coûte 2,50 $US/M de jetons d’entrée et 15,00 $US/M de jetons de sortie, avec des tarifs distincts pour Cache Read à 0,25 $US/M tokens et Web Search à 10,00 $US/1K calls.

GPT-5.5 (batch) dispose d’une fenêtre de contexte de 1 050 000 jetons. Il prend en charge jusqu’à 128 000 jetons de complétion.

Oui. GPT-5.5 (batch) 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-5.5 (batch) accepte fichiers tels que des PDF, images et texte en entrée et renvoie texte.

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions et 58 de plus sont d’autres modèles de type texte de OpenAI.

GPT-5.5 (batch) est sorti le 24 avril 2026. Ses connaissances s’arrêtent au 1 décembre 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

TexteContexte de 1,1M1 $US / 5 $US
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

TexteContexte de 1,1M0,50 $US / 2,50 $US
GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

TexteContexte de 1,1M1 $US / 5 $US
GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

TexteContexte de 1,1M0,50 $US / 2,50 $US
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

TexteContexte de 1,1M2 $US / 10 $US
GPT-6.1 Sol Pro (batch)

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

TexteContexte de 1,1M1 $US / 5 $US
GPT-6.1 Sol

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.

TexteContexte de 1,1M2 $US / 10 $US
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.

TexteContexte de 1,1M1 $US / 5 $US
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

TexteContexte de 1,1M0,05 $US / 0,25 $US
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

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

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

TexteContexte de 1,1M0,05 $US / 0,25 $US
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 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 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 Sol instead.

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

TexteContexte de 1,1M2 $US / 10 $US
GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 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 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 Sol instead.

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

TexteContexte de 1,1M1 $US / 5 $US
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

TexteContexte de 1,1M2 $US / 10 $US
GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

TexteContexte de 1,1M1 $US / 5 $US
GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

TexteContexte de 1,1M
GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

TexteContexte de 1,1M
GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

TexteContexte de 1,1M