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By using Claude Fable 5.1, you consent to data retention for purposes of monitoring safe and compliant use of AI. Anthropic's data retention policy does not allow zero data retention. Learn moreOpens in new tab

Amazon Bedrock endpoint is BYOK-only while we work on enabling public access.

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Anthropic: Claude Fable 5.1 (batch)

anthropic/claude-fable-5.1:batch

Comparer

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.

Modalités
Prix en entrée / sortie
5 $US / 25 $USpar 1M
Contexte
1,0M
Publié
1 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 Fable 5.1 (batch) (Artificial Analysis, Design Arena et Vals AI)
SourceTest de performanceScore
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Intelligence Index49,0
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Coding Index81,6
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Agentic Index57,9
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) GPQA Diamond93.7%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) HLE59.1%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) AA-LCR85.3%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) τ-Bench Banking47.2%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) GDPval-AA63.2%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) CritPt29.7%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) SciCode63.1%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Terminal-Bench 4.052.0%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) Terminal-Bench 2.191.4%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) AA-Omniscience Accuracy68.4%
Artificial AnalysisClaude Fable 5.1 (Max, Default Fallback) AA-Omniscience Non-Hallucination Rate30.0%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Intelligence Index43,0
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Coding Index77,1
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Agentic Index50,2
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) GPQA Diamond88.6%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) HLE53.8%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) AA-LCR84.7%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) τ-Bench Banking41.0%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) GDPval-AA52.7%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) CritPt29.1%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) SciCode56.4%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Terminal-Bench 4.044.9%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) Terminal-Bench 2.188.0%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) AA-Omniscience Accuracy62.6%
Artificial AnalysisClaude Fable 5.1 (Medium, Default Fallback) AA-Omniscience Non-Hallucination Rate30.2%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Intelligence Index49,7
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Coding Index80,7
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Agentic Index57,2
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) GPQA Diamond93.4%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) HLE58.7%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) AA-LCR83.0%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) τ-Bench Banking45.8%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) GDPval-AA62.0%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) CritPt31.1%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) SciCode60.9%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Terminal-Bench 4.055.1%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) Terminal-Bench 2.191.0%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) AA-Omniscience Accuracy67.2%
Artificial AnalysisClaude Fable 5.1 (Xhigh, Default Fallback) AA-Omniscience Non-Hallucination Rate30.5%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Intelligence Index38,5
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Coding Index75,2
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Agentic Index47,1
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) GPQA Diamond88.1%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) HLE48.9%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) AA-LCR82.3%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) τ-Bench Banking39.0%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) GDPval-AA48.8%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) CritPt27.7%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) SciCode56.7%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Terminal-Bench 4.040.4%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) Terminal-Bench 2.185.0%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) AA-Omniscience Accuracy58.7%
Artificial AnalysisClaude Fable 5.1 (Low, Default Fallback) AA-Omniscience Non-Hallucination Rate40.2%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Intelligence Index47,0
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Coding Index79,1
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Agentic Index53,1
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) GPQA Diamond90.6%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) HLE55.9%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) AA-LCR83.7%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) τ-Bench Banking43.1%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) GDPval-AA57.2%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) CritPt30.3%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) SciCode58.7%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Terminal-Bench 4.052.0%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) Terminal-Bench 2.189.9%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) AA-Omniscience Accuracy64.7%
Artificial AnalysisClaude Fable 5.1 (High, Default Fallback) AA-Omniscience Non-Hallucination Rate29.8%
Design ArenaClaude Fable 5.1 Agents Arena Full Stack Elo1326
Design ArenaClaude Fable 5.1 Agents Arena Godotgamedev Elo1327
Design ArenaClaude Fable 5.1 Agents Arena Htmlslides Elo1394
Design ArenaClaude Fable 5.1 Agents Arena Mobile Apps Elo1263
Design ArenaClaude Fable 5.1 Agents Arena Python-Pptxslides Elo1318
Design ArenaClaude Fable 5.1 Agents Arena Spreadsheet Elo1422
Design ArenaClaude Fable 5.1 Agents Arena Webapps Elo1294
Design ArenaClaude Fable 5.1 Models Arena 3D Elo1403
Design ArenaClaude Fable 5.1 Models Arena Asciiart Elo1321
Design ArenaClaude Fable 5.1 Models Arena Code Categories Elo1333
Design ArenaClaude Fable 5.1 Models Arena Data Visualization Elo1344
Design ArenaClaude Fable 5.1 Models Arena Game Development Elo1373
Design ArenaClaude Fable 5.1 Models Arena SVG Elo1296
Design ArenaClaude Fable 5.1 Models Arena UI Component Elo1333
Design ArenaClaude Fable 5.1 Models Arena Website Elo1308
Vals AIClaude Fable 5.1 Code Migration54.6%
Vals AIClaude Fable 5.1 CyberBench v1.170.4%
Vals AIClaude Fable 5.1 EMB v1.176.7%
Vals AIClaude Fable 5.1 Finance Agent (v2)58.9%
Vals AIClaude Fable 5.1 GPQA Diamond93.4%
Vals AIClaude Fable 5.1 Harvey's Legal Agent Benchmark v16.7%
Vals AIClaude Fable 5.1 Immigration75.4%
Vals AIClaude Fable 5.1 IOI90.8%
Vals AIClaude Fable 5.1 LiveCodeBench90.5%
Vals AIClaude Fable 5.1 LegalBench88.5%
Vals AIClaude Fable 5.1 Legal Research Bench55.3%
Vals AIClaude Fable 5.1 MedCode53.5%
Vals AIClaude Fable 5.1 MedScribe91.3%
Vals AIClaude Fable 5.1 MMLU Pro92.4%
Vals AIClaude Fable 5.1 MMMU Pro90.6%
Vals AIClaude Fable 5.1 MortgageTax70.8%
Vals AIClaude Fable 5.1 MysteryMechanism47.7%
Vals AIClaude Fable 5.1 ProgramBench7.0%
Vals AIClaude Fable 5.1 ProofBench v1.1100.0%
Vals AIClaude Fable 5.1 Public Benefits Bench v1.174.9%
Vals AIClaude Fable 5.1 Robo-bench5.8%
Vals AIClaude Fable 5.1 Vals RSI Index36.1%
Vals AIClaude Fable 5.1 SAGE v148.5%
Vals AIClaude Fable 5.1 SkillsBench61.6%
Vals AIClaude Fable 5.1 SRE Bench22.9%
Vals AIClaude Fable 5.1 SWE-bench Multimodal61.3%
Vals AIClaude Fable 5.1 Tax Agent Bench49.2%
Vals AIClaude Fable 5.1 TaxEval v276.0%
Vals AIClaude Fable 5.1 Terminal-Bench 4.058.1%
Vals AIClaude Fable 5.1 Terminal-Bench-Science40.0%
Vals AIClaude Fable 5.1 Vals Index65.8%
Vals AIClaude Fable 5.1 Vibe Code Bench 1-10028.0%
Vals AIClaude Fable 5.1 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 Fable

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 Fable 5.1 (batch) sur OpenRouter.

  • Claude Fable 5.1 Migration GuideRecueil de recettes

Explorer d’autres modèles

Modèles d’IA avec vision : LLM multimodaux pour la compréhension d’imagesCollectionClassements des modèles d’IAClassement
5,00 $US25,00 $US0,125 $US----
--

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 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.

La documentation de Claude Fable 5.1 (batch) sur OpenRouter comprend le guide de recettes Claude Fable 5.1 Migration Guide. Le guide de démarrage rapide présente les clés API et votre première requête, et la référence API répertorie tous les paramètres.

Claude Fable 5.1 (batch) coûte 5,00 $US/M de jetons d’entrée et 25,00 $US/M de jetons de sortie, avec des tarifs distincts pour Cache Read à 0,125 $US/M tokens, Cache Write à 6,25 $US/M tokens, Cache Write (1h) à 10,00 $US/M tokens et Web Search à 10,00 $US/1K calls.

Claude Fable 5.1 (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 Fable 5.1 (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 Fable 5.1 (batch) accepte texte, images et fichiers tels que des PDF en entrée et renvoie texte.

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

Claude Fable 5.1 (batch) est sorti le 1 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