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Favicon de anthropic

Anthropic: Claude Opus 4.1

anthropic/claude-opus-4.1

Comparar

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains in multi-file code refactoring, debugging precision, and detail-oriented reasoning. The model supports extended thinking up to 64K tokens and is optimized for tasks involving research, data analysis, and tool-assisted reasoning.

Modalidades
Precio de entrada / salida
15 US$ / 75 US$por 1M
Contexto
200K
Publicado
5 ago 2025
Fecha de corte del conocimiento
ene 2025
Comparar
ProveedoresPreciosRendimientoTiempo de actividadPruebas de rendimientoAplicacionesActividadPreguntas frecuentesExplorar

Proveedores

Este modelo está alojado por un único proveedor. OpenRouter le reenvía todas las solicitudes directamente, sin necesidad de tomar decisiones de enrutamiento.

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 4.1 (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisClaude 4.1 Opus (Reasoning) GPQA Diamond80.9%
Artificial AnalysisClaude 4.1 Opus (Reasoning) HLE12.5%
Artificial AnalysisClaude 4.1 Opus (Reasoning) IFBench55.4%
Artificial AnalysisClaude 4.1 Opus (Reasoning) τ²-Bench Telecom71.4%
Artificial AnalysisClaude 4.1 Opus (Reasoning) AA-LCR76.0%
Artificial AnalysisClaude 4.1 Opus (Reasoning) CritPt0.0%
Artificial AnalysisClaude 4.1 Opus (Reasoning) LiveCodeBench65.4%
Artificial AnalysisClaude 4.1 Opus (Reasoning) Terminal-Bench Hard34.3%
Artificial AnalysisClaude 4.1 Opus (Reasoning) MMLU-Pro88.0%
Artificial AnalysisClaude 4.1 Opus (Reasoning) AIME 202580.3%
Design ArenaClaude Opus 4.1 Models Arena 3D Elo1150
Design ArenaClaude Opus 4.1 Models Arena Asciiart Elo1164
Design ArenaClaude Opus 4.1 Models Arena Code Categories Elo1163
Design ArenaClaude Opus 4.1 Models Arena Data Visualization Elo1162
Design ArenaClaude Opus 4.1 Models Arena Game Development Elo1162
Design ArenaClaude Opus 4.1 Models Arena SVG Elo1106
Design ArenaClaude Opus 4.1 Models Arena UI Component Elo1150
Design ArenaClaude Opus 4.1 Models Arena Website Elo1163
Vals AIClaude Opus 4.1 (Nonthinking) AIME44.2%
Vals AIClaude Opus 4.1 (Nonthinking) Finance Agent v146.1%
Vals AIClaude Opus 4.1 (Nonthinking) GPQA Diamond70.0%
Vals AIClaude Opus 4.1 (Nonthinking) IOI v112.5%
Vals AIClaude Opus 4.1 (Nonthinking) LiveCodeBench64.6%
Vals AIClaude Opus 4.1 (Nonthinking) LegalBench83.5%
Vals AIClaude Opus 4.1 (Nonthinking) MATH 50093.0%
Vals AIClaude Opus 4.1 (Nonthinking) MedCode41.4%
Vals AIClaude Opus 4.1 (Nonthinking) MedQA92.5%
Vals AIClaude Opus 4.1 (Nonthinking) MedScribe71.8%
Vals AIClaude Opus 4.1 (Nonthinking) MGSM94.2%
Vals AIClaude Opus 4.1 (Nonthinking) MMLU Pro87.2%
Vals AIClaude Opus 4.1 (Nonthinking) MMMU Pro73.7%
Vals AIClaude Opus 4.1 (Nonthinking) MortgageTax61.1%
Vals AIClaude Opus 4.1 (Nonthinking) SAGE v131.4%
Vals AIClaude Opus 4.1 (Nonthinking) TaxEval v271.5%

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.

Actualmente no está disponible mediante el enrutamiento dentro de la región de la UE. Documentación de enrutamiento dentro de la región

Explorar más modelos

Modelos de IA con visión: LLM multimodales para la comprensión de imágenesColecciónClasificaciones de modelos de IAClasificación
Latencia / rendimiento
15,00 US$75,00 US$1,50 US$3,59s11 tps
100,00 %
Rendimiento
11tok/s

P50, el mejor entre los proveedores

Latencia
3,59s

P50, mejor proveedor

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.
99,71 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,71 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,63 %

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.

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Preguntas frecuentes

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains in multi-file code refactoring, debugging precision, and detail-oriented reasoning.

Claude Opus 4.1 cuesta 15,00 US$/M de tokens de entrada y 75,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 1,50 US$/M tokens, Cache Write a 18,75 US$/M tokens y Cache Write (1h) a 30,00 US$/M tokens.

Claude Opus 4.1 tiene una ventana de contexto de 200.000 tókenes. Admite hasta 32.000 tókenes de respuesta.

Sí. Claude Opus 4.1 admite tools y tool_choice para llamadas a funciones. No admite response_format, por lo que no se fuerza la salida en JSON.

Claude Opus 4.1 acepta imágenes, texto y archivos como PDF como entrada y devuelve texto.

Claude Haiku 5.5, Claude Sonnet 5.5, Claude Opus 5.5 y 11 más son otros modelos de texto de Anthropic.

Claude Opus 4.1 se lanzó el 5 de agosto de 2025. Su fecha límite de conocimientos es 31 de enero de 2025.

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

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 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.

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 Opus 4.1 cuesta 15,00 US/Mdetokensdeentraday75,00 US/M de tokens de entrada y 75,00 US/Mdetokensdeentraday75,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 1,50 US/Mtokens,CacheWritea18,75 US/M tokens, Cache Write a 18,75 US/Mtokens,CacheWritea18,75 US/M tokens y Cache Write (1h) a 30,00 US$/M tokens.