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Favicon de anthropic

Anthropic: Claude Opus 5.5

anthropic/claude-opus-5.5

Comparer

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

Modalités
Prix en entrée / sortie
4 $US / 20 $USpar 1M
Contexte
1,0M
Publié
22 sept. 2026
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 Anthropic: Claude Opus 5.5 (Artificial Analysis, Design Arena et Vals AI)
SourceTest de performanceScore
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) Intelligence Index57,0
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) HLE57.5%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) AA-LCR84.7%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) GDPval-AA66.8%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) CritPt31.7%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) SciCode65.0%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) Terminal-Bench 4.059.6%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) AA-Omniscience Accuracy65.5%
Artificial AnalysisClaude Opus 5.5 (Xhigh, Default Fallback) AA-Omniscience Non-Hallucination Rate35.0%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) Intelligence Index48,1
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) HLE54.7%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) AA-LCR84.3%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) GDPval-AA54.6%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) CritPt27.7%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) SciCode59.3%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) Terminal-Bench 4.052.5%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) AA-Omniscience Accuracy63.9%
Artificial AnalysisClaude Opus 5.5 (Medium, Default Fallback) AA-Omniscience Non-Hallucination Rate33.1%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) Intelligence Index34,5
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) HLE48.3%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) AA-LCR80.7%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) GDPval-AA37.0%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) CritPt17.7%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) SciCode58.6%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) Terminal-Bench 4.031.3%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) AA-Omniscience Accuracy63.3%
Artificial AnalysisClaude Opus 5.5 (Low, Default Fallback) AA-Omniscience Non-Hallucination Rate33.7%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) Intelligence Index51,7
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) HLE55.6%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) AA-LCR82.7%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) GDPval-AA60.7%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) CritPt30.9%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) SciCode60.4%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) Terminal-Bench 4.056.6%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) AA-Omniscience Accuracy64.8%
Artificial AnalysisClaude Opus 5.5 (High, Default Fallback) AA-Omniscience Non-Hallucination Rate36.1%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) Intelligence Index58,4
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) HLE61.4%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) AA-LCR84.7%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) GDPval-AA68.3%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) CritPt31.7%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) SciCode66.9%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) Terminal-Bench 4.059.6%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) AA-Omniscience Accuracy65.5%
Artificial AnalysisClaude Opus 5.5 (Max, Default Fallback) AA-Omniscience Non-Hallucination Rate49.7%
Design ArenaClaude Opus 5.5 Agents Arena Blender3d Elo1281
Design ArenaClaude Opus 5.5 Agents Arena Codetovideo Elo1359
Design ArenaClaude Opus 5.5 Agents Arena Mobile Apps Elo1309
Design ArenaClaude Opus 5.5 Agents Arena Pdf Elo1334
Design ArenaClaude Opus 5.5 Agents Arena Spreadsheet Elo1394
Design ArenaClaude Opus 5.5 Agents Arena Webapps Elo1307
Design ArenaClaude Opus 5.5 Models Arena 3D Elo1471
Design ArenaClaude Opus 5.5 Models Arena Asciiart Elo1354
Design ArenaClaude Opus 5.5 Models Arena Code Categories Elo1385
Design ArenaClaude Opus 5.5 Models Arena Data Visualization Elo1394
Design ArenaClaude Opus 5.5 Models Arena Game Development Elo1435
Design ArenaClaude Opus 5.5 Models Arena SVG Elo1323
Design ArenaClaude Opus 5.5 Models Arena UI Component Elo1378
Design ArenaClaude Opus 5.5 Models Arena Website Elo1325
Vals AIClaude Opus 5.5 BioMysteryBench79.3%
Vals AIClaude Opus 5.5 ClaimBench100.0%
Vals AIClaude Opus 5.5 Code Migration v1.181.0%
Vals AIClaude Opus 5.5 CyberBench v1.155.4%
Vals AIClaude Opus 5.5 EMB v1.175.8%
Vals AIClaude Opus 5.5 Finance Agent v2.167.8%
Vals AIClaude Opus 5.5 Vals Finance Index65.6%
Vals AIClaude Opus 5.5 HLAB-Vals-1.19.2%
Vals AIClaude Opus 5.5 Immigration72.1%
Vals AIClaude Opus 5.5 IOI95.1%
Vals AIClaude Opus 5.5 Vals Legal Index72.3%
Vals AIClaude Opus 5.5 Legal Research Bench50.5%
Vals AIClaude Opus 5.5 MedCode49.8%
Vals AIClaude Opus 5.5 MedScribe91.4%
Vals AIClaude Opus 5.5 MysteryMechanism49.5%
Vals AIClaude Opus 5.5 ProgramBench18.5%
Vals AIClaude Opus 5.5 ProofBench v1.1100.0%
Vals AIClaude Opus 5.5 Public Benefits Bench v1.170.6%
Vals AIClaude Opus 5.5 Robo-bench14.6%
Vals AIClaude Opus 5.5 Vals RSI Index37.3%
Vals AIClaude Opus 5.5 SAGE91.3%
Vals AIClaude Opus 5.5 Vals Science Index58.7%
Vals AIClaude Opus 5.5 SRE Bench33.6%
Vals AIClaude Opus 5.5 SWE-bench Multimodal70.2%
Vals AIClaude Opus 5.5 Tax Agent Bench45.6%
Vals AIClaude Opus 5.5 Terminal-Bench 4.065.2%
Vals AIClaude Opus 5.5 Terminal-Bench-Science47.1%
Vals AIClaude Opus 5.5 Vals Index70.2%
Vals AIClaude Opus 5.5 Vibe Code Bench 1-10030.4%
Vals AIClaude Opus 5.5 Vibe Code Bench v1.190.3%

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 Anthropic: Claude Opus

Disponible via le routage au sein de la région UE

Anthropic: Claude Opus 5.5 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
Amazon Bedrock, Google Vertex
Tarifs en Europe
  • Amazon Bedrock : 4,40 $US/M tokens en entrée, 22 $US/M tokens en sortie
  • Google Vertex : 4,40 $US/M tokens en entrée, 22 $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

Documentation

Guides, recueils de recettes, articles de blog et outils pour développer avec Anthropic: Claude Opus 5.5 sur OpenRouter.

  • Claude 5.5 Migration GuideRecueil de recettes
  • Claude Opus vs Sonnet vs Haiku: Which Should You Use?Article de blog
  • How Much Does Claude Code Cost? Real Session Costs by ModelArticle de blog
  • Hit Your Claude Code Usage Limit? How to Keep CodingArticle de blog
  • Claude 529 Overloaded: What It Means and How to Fix ItArticle de blog

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Non utilisé pour le routage Standard :Pourquoi ces points de terminaison ne sont pas utilisés
4,40 $US22,00 $US0,22 $US3,89s82 tps
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4,40 $US22,00 $US0,22 $US3,07s91 tps
100,00 %
Fast
8,00 $US40,00 $US0,40 $US1,34s181 tps
100,00 %
Débit
181jetons/s

P50, meilleur résultat tous fournisseurs confondus

Latence
1,34s

P50, meilleur fournisseur

Évaluations comparatives AutoExacto
GPQA DiamondTAU-BenchAmazon Bedrock (US)90,0 %76,7 %Claude Platform on AWS89,8 %76,1 %Azure (US)90,3 %75,4 %auto-routing90,1 %75,6 %Google Vertex (US)90,0 %75,7 %Azure89,7 %75,8 %Amazon Bedrock (EU)89,9 %75,5 %Amazon Bedrock90,4 %74,6 %Google Vertex (EU)89,9 %74,7 %Google Vertex89,9 %73,7 %
+1 fournisseurs supplémentaires
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.
99,88 %

Disponibilité au cours des 3 derniers jours

72 dernières heures
Disponibilité 99,88 %
Il y a 3 joursIl y a 2 joursHierMaintenant

Disponibilité au cours des dernières 24 heures

OpenRouter Availability
99,89 %
Without Routing
97,87 %

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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13,5Tjetons
2.
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Hermes Agent
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.
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3.
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pi
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4.
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5.
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Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
151Bjetons

Questions fréquentes

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and...

La documentation de Claude Opus 5.5 sur OpenRouter comprend le guide de recettes Claude 5.5 Migration Guide, l’article de blog Claude Opus vs Sonnet vs Haiku: Which Should You Use?, l’article de blog How Much Does Claude Code Cost? Real Session Costs by Model, l’article de blog Hit Your Claude Code Usage Limit? How to Keep Coding et l’article de blog Claude 529 Overloaded: What It Means and How to Fix It. Le guide de démarrage rapide présente les clés API et votre première requête, et la référence API répertorie tous les paramètres.

Claude Opus 5.5 coûte 4,00 $US/M de jetons d’entrée et 20,00 $US/M de jetons de sortie, avec des tarifs distincts pour Cache Read à 0,20 $US/M tokens, Cache Write à 5,00 $US/M tokens et Cache Write (1h) à 8,00 $US/M tokens.

Claude Opus 5.5 dispose d’une fenêtre de contexte de 1 000 000 jetons. Il prend en charge jusqu’à 128 000 jetons de complétion.

Oui. Claude Opus 5.5 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.

Claude Opus 5.5 accepte texte, images et fichiers tels que des PDF en entrée et renvoie texte.

Claude Opus 5.5 est proposé par 5 fournisseurs sur OpenRouter : Amazon Bedrock, Azure, Google Vertex, Claude Platform on AWS et Anthropic. 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.

Claude Opus 5.5 est sorti le 22 septembre 2026.

Autres modèles de Anthropic

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Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and knowledge work, and accepts text and image input with a 1M-token context window.

It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

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It is the first Haiku model with adjustable effort. Thinking is adaptive and on by default, with effort as the main lever for trading off depth, latency, and cost; it can be turned off at low, medium, and high effort.

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Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 5 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

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The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

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TexteContexte de 1M2 $US / 10 $US
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Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

TexteContexte de 1M
Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

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It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

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Claude Opus 4.8

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 4.8 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

TexteContexte de 1M
Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

TexteContexte de 1M5 $US / 25 $US
Claude Opus 4.8 (batch)

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

TexteContexte de 1M2,50 $US / 12,50 $US
Claude Opus 4.7

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

TexteContexte de 1M
Claude Haiku Latest

This model always redirects to the latest model in the Claude Haiku family.

TexteContexte de 200K