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Favicon de anthropic

Anthropic: Claude Sonnet 5.5 (batch)

anthropic/claude-sonnet-5.5:batch

Comparar

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.

Modalidades
Precio de entrada / salida
1 US$ / 5 US$por 1M
Contexto
1,0M
Publicado
28 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 Sonnet 5.5 (batch) (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
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%

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 Sonnet

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

Documentación

Guías, recetarios, artículos de blog y herramientas para desarrollar con Anthropic: Claude Sonnet 5.5 (batch) en OpenRouter.

  • Claude 5.5 Migration GuideRecetario
  • Build an AI Code Reviewer with OpenRouterPublicación del blog
  • 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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Pruebas de rendimiento de 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 proveedores más

Aún no hay suficientes datos de tiempo de actividad para mostrar.

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.

Aún no hay suficientes datos sobre las aplicaciones que usan este modelo.

Preguntas frecuentes

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 documentación de Claude Sonnet 5.5 (batch) en OpenRouter incluye la guía práctica Claude 5.5 Migration Guide, la publicación del blog Build an AI Code Reviewer with OpenRouter, 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 Sonnet 5.5 (batch) cuesta 1,00 US$/M de tokens de entrada y 5,00 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,05 US$/M tokens, Cache Write a 1,25 US$/M tokens, Cache Write (1h) a 2,00 US$/M tokens y Web Search a 10,00 US$/1K calls.

Claude Sonnet 5.5 (batch) tiene una ventana de contexto de 1.000.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

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

Claude Sonnet 5.5 (batch) acepta texto, imágenes y archivos como PDF como entrada y devuelve texto.

Claude Haiku 5.5, Claude Opus 5.5, Claude Fable 5.1 y 11 más son otros modelos de texto de Anthropic.

Claude Sonnet 5.5 (batch) se lanzó el 28 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

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 Sonnet 5.5 (batch) cuesta 1,00 US/Mdetokensdeentraday5,00 US/M de tokens de entrada y 5,00 US/Mdetokensdeentraday5,00 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,05 US/Mtokens,CacheWritea1,25 US/M tokens, Cache Write a 1,25 US/Mtokens,CacheWritea1,25 US/M tokens, Cache Write (1h) a 2,00 US/MtokensyWebSearcha10,00 US/M tokens y Web Search a 10,00 US/MtokensyWebSearcha10,00 US/1K calls.