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Anthropic: Claude Sonnet 5.5 (batch)

anthropic/claude-sonnet-5.5:batch

Comparer

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

Modalités
Prix en entrée / sortie
1 $US / 5 $USpar 1M
Contexte
1,0M
Publié
28 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 Sonnet 5.5 (batch) (Artificial Analysis, Design Arena et Vals AI)
SourceTest de performanceScore
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) Intelligence Index49,6
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) HLE50.0%
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) AA-LCR79.7%
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) GDPval-AA61.8%
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) CritPt31.1%
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) SciCode57.3%
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) Terminal-Bench 4.057.1%
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) AA-Omniscience Accuracy50.9%
Artificial AnalysisClaude Sonnet 5.5 (Xhigh, Default Fallback) AA-Omniscience Non-Hallucination Rate38.3%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) Intelligence Index54,2
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) HLE55.0%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) AA-LCR82.7%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) GDPval-AA66.9%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) CritPt31.4%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) SciCode61.0%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) Terminal-Bench 4.063.6%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) AA-Omniscience Accuracy51.5%
Artificial AnalysisClaude Sonnet 5.5 (Max, Default Fallback) AA-Omniscience Non-Hallucination Rate56.7%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) Intelligence Index41,1
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) HLE45.8%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) AA-LCR78.0%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) GDPval-AA52.8%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) CritPt24.6%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) SciCode53.7%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) Terminal-Bench 4.043.9%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) AA-Omniscience Accuracy50.3%
Artificial AnalysisClaude Sonnet 5.5 (High, Default Fallback) AA-Omniscience Non-Hallucination Rate36.4%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) Intelligence Index30,3
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) HLE39.8%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) AA-LCR76.3%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) GDPval-AA41.4%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) CritPt16.9%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) SciCode52.9%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) Terminal-Bench 4.029.8%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) AA-Omniscience Accuracy45.8%
Artificial AnalysisClaude Sonnet 5.5 (Medium, Default Fallback) AA-Omniscience Non-Hallucination Rate50.0%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) Intelligence Index25,3
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) HLE36.2%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) AA-LCR76.0%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) GDPval-AA34.1%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) CritPt11.4%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) SciCode49.1%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) Terminal-Bench 4.020.7%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) AA-Omniscience Accuracy46.0%
Artificial AnalysisClaude Sonnet 5.5 (Low, Default Fallback) AA-Omniscience Non-Hallucination Rate52.3%
Design ArenaClaude Sonnet 5.5 Agents Arena Blender3d Elo1263
Design ArenaClaude Sonnet 5.5 Agents Arena Mobile Apps Elo1269
Design ArenaClaude Sonnet 5.5 Agents Arena Pdf Elo1248
Design ArenaClaude Sonnet 5.5 Agents Arena Spreadsheet Elo1297
Design ArenaClaude Sonnet 5.5 Agents Arena Webapps Elo1289
Design ArenaClaude Sonnet 5.5 Models Arena 3D Elo1399
Design ArenaClaude Sonnet 5.5 Models Arena Code Categories Elo1350
Design ArenaClaude Sonnet 5.5 Models Arena Data Visualization Elo1361
Design ArenaClaude Sonnet 5.5 Models Arena Game Development Elo1407
Design ArenaClaude Sonnet 5.5 Models Arena UI Component Elo1375
Design ArenaClaude Sonnet 5.5 Models Arena Website Elo1320
Vals AIClaude Sonnet 5.5 BioMysteryBench81.1%
Vals AIClaude Sonnet 5.5 ClaimBench100.0%
Vals AIClaude Sonnet 5.5 Code Migration v1.186.9%
Vals AIClaude Sonnet 5.5 CyberBench v1.159.6%
Vals AIClaude Sonnet 5.5 EMB v1.175.9%
Vals AIClaude Sonnet 5.5 Finance Agent v2.167.3%
Vals AIClaude Sonnet 5.5 Vals Finance Index64.5%
Vals AIClaude Sonnet 5.5 HLAB-Vals-1.110.4%
Vals AIClaude Sonnet 5.5 Immigration69.0%
Vals AIClaude Sonnet 5.5 IOI83.1%
Vals AIClaude Sonnet 5.5 Vals Legal Index68.0%
Vals AIClaude Sonnet 5.5 Legal Research Bench48.1%
Vals AIClaude Sonnet 5.5 MedCode52.9%
Vals AIClaude Sonnet 5.5 MedScribe91.1%
Vals AIClaude Sonnet 5.5 MysteryMechanism49.1%
Vals AIClaude Sonnet 5.5 ProgramBench6.5%
Vals AIClaude Sonnet 5.5 ProofBench v1.1100.0%
Vals AIClaude Sonnet 5.5 Public Benefits Bench v1.167.2%
Vals AIClaude Sonnet 5.5 SAGE88.0%
Vals AIClaude Sonnet 5.5 Vals Science Index59.1%
Vals AIClaude Sonnet 5.5 SRE Bench30.2%
Vals AIClaude Sonnet 5.5 SWE-bench Multimodal58.3%
Vals AIClaude Sonnet 5.5 Tax Agent Bench42.0%
Vals AIClaude Sonnet 5.5 Terminal-Bench 4.064.1%
Vals AIClaude Sonnet 5.5 Terminal-Bench-Science47.1%
Vals AIClaude Sonnet 5.5 Vals Index70.9%
Vals AIClaude Sonnet 5.5 Vibe Code Bench v1.192.4%

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 Sonnet

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 Anthropic: Claude Sonnet 5.5 (batch) sur OpenRouter.

  • Claude 5.5 Migration GuideRecueil de recettes
  • Build an AI Code Reviewer with OpenRouterArticle de blog
  • 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

Explorer d’autres modèles

Modèles d’IA avec vision : LLM multimodaux pour la compréhension d’imagesCollectionClassements des modèles d’IAClassement
1,00 $US5,00 $US0,05 $US----
--
Évaluations comparatives AutoExacto
GPQA DiamondTAU-Benchauto-routing93,0 %79,1 %Google Vertex93,1 %78,7 %Amazon Bedrock92,5 %79,3 %Anthropic92,8 %78,1 %Google Vertex92,9 %77,9 %Claude Platform on AWS93,1 %77,5 %Amazon Bedrock92,3 %78,3 %Amazon Bedrock92,8 %76,8 %Google Vertex92,6 %76,8 %
+1 fournisseurs supplémentaires

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

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

La documentation de Claude Sonnet 5.5 (batch) sur OpenRouter comprend le guide de recettes Claude 5.5 Migration Guide, l’article de blog Build an AI Code Reviewer with OpenRouter, 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 Sonnet 5.5 (batch) coûte 1,00 $US/M de jetons d’entrée et 5,00 $US/M de jetons de sortie, avec des tarifs distincts pour Cache Read à 0,05 $US/M tokens, Cache Write à 1,25 $US/M tokens, Cache Write (1h) à 2,00 $US/M tokens et Web Search à 10,00 $US/1K calls.

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

Oui. Claude Sonnet 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.

Claude Sonnet 5.5 (batch) accepte texte, images et fichiers tels que des PDF en entrée et renvoie texte.

Claude Haiku 5.5, Claude Opus 5.5, Claude Fable 5.1 et 11 de plus sont d’autres modèles de type texte de Anthropic.

Claude Sonnet 5.5 (batch) est sorti le 28 septembre 2026.

Autres modèles de Anthropic

Claude Haiku 5.5

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.

TexteContexte de 1M0,10 $US / 0,50 $US
Claude Haiku 5.5 (batch)

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.

TexteContexte de 1M0,05 $US / 0,25 $US
Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

TexteContexte de 1M2 $US / 10 $US
Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

TexteContexte de 1M1 $US / 5 $US
Claude Opus 5.5

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.

TexteContexte de 1M4 $US / 20 $US
Claude Opus 5.5 (batch)

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.

TexteContexte de 1M2 $US / 10 $US
Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

TexteContexte de 1M10 $US / 50 $US
Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

TexteContexte de 1M5 $US / 25 $US
Claude Opus 5

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

TexteContexte de 1M
Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

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.

TexteContexte de 1M5 $US / 25 $US
Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

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.

TexteContexte de 1M2,50 $US / 12,50 $US
Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

TexteContexte de 1M2 $US / 10 $US
Claude Sonnet 5 (batch)

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

TexteContexte de 1M1 $US / 5 $US
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.

TexteContexte de 1M10 $US / 50 $US
Claude Fable 5 (batch)

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.

TexteContexte de 1M5 $US / 25 $US
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