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Favicon de anthropic

Anthropic: Claude Opus 5.5

anthropic/claude-opus-5.5

Comparar

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.

Modalidades
Precio de entrada / salida
4 US$ / 20 US$por 1M
Contexto
1,0M
Publicado
22 sept 2026
Comparar
ProveedoresPreciosRendimientoTiempo de actividadPruebas de rendimientoAplicacionesActividadDocumentaciónPreguntas frecuentesExplorar

Proveedores

Distintas empresas alojan el mismo modelo. OpenRouter dirige su solicitud a una de ellas según el modo de enrutamiento que elija: Equilibrado (precio + velocidad), Nitro (el más rápido) o Floor (el más barato).

Precios

El precio medio que los clientes pagan realmente por este modelo, junto a los precios que publican los proveedores. El uso de caché y los descuentos hacen que el precio realmente pagado a menudo sea muy inferior al publicado.

Rendimiento

La velocidad de generación indica lo rápido que escribe el modelo (tokens por segundo: cuanto mayor, mejor). La latencia es el tiempo total de ida y vuelta (cuanto menor, mejor). TTFT es el tiempo hasta el primer token: cuánto tarda en aparecer algo en pantalla (cuanto menor, mejor).

Tiempo de actividad

El tiempo de actividad es el porcentaje de los últimos 3 días en que al menos un proveedor respondía a las solicitudes. La disponibilidad es el porcentaje de tiempo en que la inferencia se sirvió correctamente. OpenRouter supervisa continuamente y utiliza el siguiente mejor proveedor cuando uno devuelve un error.

Pruebas de rendimiento

Puntuaciones en evaluaciones estandarizadas y respuestas de este modelo a instrucciones compartidas de las pruebas de referencia. Los porcentajes más altos son mejores, y cada posición indica dónde se sitúa este modelo entre los modelos evaluados en esa fuente.

Resumen de puntuaciones en pruebas de rendimiento de Anthropic: Claude Opus 5.5 (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
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%

Aplicaciones

Aplicaciones públicas que envían más tráfico a este modelo. Una buena señal de cómo son las cargas de trabajo reales en producción, y una pista sobre los casos de uso para los que este modelo es más adecuado.

Actividad

Volumen de tokens y tráfico de solicitudes a este modelo a lo largo del tiempo.

API

Código listo para usar para llamar a este modelo. La API de OpenRouter es compatible con OpenAI: la mayoría de los SDK funcionan con solo cambiar la URL base. Lo único que cambia entre modelos es el identificador del modelo que aparece a continuación.

Versiones de Anthropic: Claude Opus

Disponible mediante enrutamiento dentro de la región de la UE

Anthropic: Claude Opus 5.5 está disponible mediante el enrutamiento dentro de la región de la UE. Las solicitudes enviadas a eu.openrouter.ai se descifran en la UE y se enrutan únicamente a endpoints compartidos de proveedores en Europa (la UE/el EEE, el Reino Unido y Suiza).

Proveedores en Europa
Amazon Bedrock, Google Vertex
Precios en Europa
  • Amazon Bedrock: 4,40 US$/M tokens de entrada, 22 US$/M tokens de salida
  • Google Vertex: 4,40 US$/M tokens de entrada, 22 US$/M tokens de salida
URL base
https://eu.openrouter.ai/api/v1
Plan
Requiere Business o Enterprise. Autoservicio en Business: sin contrato ni mínimo mensual. OpenRouter Business para el enrutamiento dentro de la UE

Falla de forma cerrada: si no hay ningún endpoint de proveedor compartido disponible en Europa, la solicitud devuelve un error en lugar de salir de la región. Las solicitudes atendidas con su propia clave BYOK se dirigen a la región de su despliegue, que usted controla. Documentación de enrutamiento dentro de la región

Documentación

Guías, recetarios, artículos de blog y herramientas para desarrollar con Anthropic: Claude Opus 5.5 en OpenRouter.

  • Claude 5.5 Migration GuideRecetario
  • Claude Opus vs Sonnet vs Haiku: Which Should You Use?Publicación del blog
  • How Much Does Claude Code Cost? Real Session Costs by ModelPublicación del blog
  • Hit Your Claude Code Usage Limit? How to Keep CodingPublicación del blog
  • Claude 529 Overloaded: What It Means and How to Fix ItPublicación del blog

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No se utiliza en el enrutamiento Standard:Por qué no se usan estos endpoints
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Fast
8,00 US$40,00 US$0,40 US$1,34s181 tps
100,00 %
Rendimiento
181tok/s

P50, el mejor entre los proveedores

Latencia
1,34s

P50, mejor proveedor

Pruebas de rendimiento de 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 proveedores más
Tiempo de actividad (3 d)El modelo estaba accesible. Solicitud enrutada a un proveedor.
100,00 %
Disponibilidad (3 d)El modelo devolvió una inferencia de cualquier proveedor. Los errores y las respuestas vacías cuentan en su contra.
99,88 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,88 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

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

Cuando se produce un error en un proveedor ascendente, podemos recuperarnos enrutando la solicitud a otro proveedor que funcione correctamente, si los filtros de su solicitud lo permiten. Puede acceder mediante programación a los datos de tiempo de actividad de cada proveedor a través de la API de endpoints. Obtenga más información sobre nuestras opciones de equilibrio de carga y enrutamiento de proveedores.

1.
Favicon de https://claude.ai/apple-touch-icon.png
Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
13,5Ttókenes
2.
Favicon de https://nousresearch.com
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.
1,44Ttókenes
3.
Favicon de https://pi.dev/
pi
There are many coding agents, but this one is yours.
818Btókenes
4.
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omp
nuevo
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5.
Favicon de https://kilocode.ai/
Kilo Code
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.
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Preguntas frecuentes

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 documentación de Claude Opus 5.5 en OpenRouter incluye la guía práctica Claude 5.5 Migration Guide, la publicación del blog Claude Opus vs Sonnet vs Haiku: Which Should You Use?, la publicación del blog How Much Does Claude Code Cost? Real Session Costs by Model, la publicación del blog Hit Your Claude Code Usage Limit? How to Keep Coding y la publicación del blog Claude 529 Overloaded: What It Means and How to Fix It. La guía de inicio rápido cubre las claves de API y su primera solicitud, y la referencia de la API enumera todos los parámetros.

Claude Opus 5.5 cuesta 4,00 US$/M de tokens de entrada y 20,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,20 US$/M tokens, Cache Write a 5,00 US$/M tokens y Cache Write (1h) a 8,00 US$/M tokens.

Claude Opus 5.5 tiene una ventana de contexto de 1.000.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. Claude Opus 5.5 admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

Claude Opus 5.5 acepta texto, imágenes y archivos como PDF como entrada y devuelve texto.

Claude Opus 5.5 está disponible a través de 5 proveedores en OpenRouter: Amazon Bedrock, Azure, Google Vertex, Claude Platform on AWS y Anthropic. Las solicitudes se enrutan al mejor proveedor disponible, con conmutación automática a los demás en caso de fallo, y puede fijar o excluir proveedores mediante el enrutamiento de proveedores.

Claude Opus 5.5 se lanzó el 22 de septiembre de 2026.

Más modelos 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.

TextoContexto 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.

TextoContexto 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.

TextoContexto 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.

TextoContexto de 1M1 US$ / 5 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.

TextoContexto 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.

TextoContexto 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.

TextoContexto 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

TextoContexto 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.

TextoContexto 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.

TextoContexto 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.

TextoContexto 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.

TextoContexto de 1M1 US$ / 5 US$
Claude Fable Latest

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

TextoContexto 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.

TextoContexto 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.

TextoContexto 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

TextoContexto 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.

TextoContexto 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.

TextoContexto 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

TextoContexto de 1M
Claude Haiku Latest

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

TextoContexto de 200K

Claude Opus 5.5 cuesta 4,00 US/Mdetokensdeentraday20,00 US/M de tokens de entrada y 20,00 US/Mdetokensdeentraday20,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,20 US/Mtokens,CacheWritea5,00 US/M tokens, Cache Write a 5,00 US/Mtokens,CacheWritea5,00 US/M tokens y Cache Write (1h) a 8,00 US$/M tokens.