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Anthropic: Claude Opus 5 (batch)

anthropic/claude-opus-5:batch

Comparar

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.

Modalidades
Precio de entrada / salida
2,50 US$ / 12,50 US$por 1M
Contexto
1,0M
Publicado
24 jul 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 (batch) (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisClaude Opus 5 (Max) Coding Index78,0
Artificial AnalysisClaude Opus 5 (Max) Agentic Index56,5
Artificial AnalysisClaude Opus 5 (Max) GPQA Diamond93.2%
Artificial AnalysisClaude Opus 5 (Max) HLE54.9%
Artificial AnalysisClaude Opus 5 (Max) AA-LCR79.3%
Artificial AnalysisClaude Opus 5 (Max) τ-Bench Banking42.1%
Artificial AnalysisClaude Opus 5 (Max) GDPval-AA61.5%
Artificial AnalysisClaude Opus 5 (Max) CritPt29.1%
Artificial AnalysisClaude Opus 5 (Max) SciCode56.4%
Artificial AnalysisClaude Opus 5 (Max) Terminal-Bench 4.049.0%
Artificial AnalysisClaude Opus 5 (Max) Terminal-Bench 2.189.1%
Artificial AnalysisClaude Opus 5 (Xhigh) Coding Index77,0
Artificial AnalysisClaude Opus 5 (Xhigh) Agentic Index55,6
Artificial AnalysisClaude Opus 5 (Xhigh) GPQA Diamond93.7%
Artificial AnalysisClaude Opus 5 (Xhigh) HLE54.4%
Artificial AnalysisClaude Opus 5 (Xhigh) AA-LCR80.3%
Artificial AnalysisClaude Opus 5 (Xhigh) τ-Bench Banking43.3%
Artificial AnalysisClaude Opus 5 (Xhigh) GDPval-AA59.8%
Artificial AnalysisClaude Opus 5 (Xhigh) CritPt27.7%
Artificial AnalysisClaude Opus 5 (Xhigh) SciCode55.7%
Artificial AnalysisClaude Opus 5 (Xhigh) Terminal-Bench 4.046.5%
Artificial AnalysisClaude Opus 5 (Xhigh) Terminal-Bench 2.188.0%
Artificial AnalysisClaude Opus 5 (High) Coding Index76,5
Artificial AnalysisClaude Opus 5 (High) Agentic Index52,3
Artificial AnalysisClaude Opus 5 (High) GPQA Diamond93.7%
Artificial AnalysisClaude Opus 5 (High) HLE52.8%
Artificial AnalysisClaude Opus 5 (High) AA-LCR79.0%
Artificial AnalysisClaude Opus 5 (High) τ-Bench Banking44.7%
Artificial AnalysisClaude Opus 5 (High) GDPval-AA55.2%
Artificial AnalysisClaude Opus 5 (High) CritPt28.3%
Artificial AnalysisClaude Opus 5 (High) SciCode55.4%
Artificial AnalysisClaude Opus 5 (High) Terminal-Bench 4.046.0%
Artificial AnalysisClaude Opus 5 (High) Terminal-Bench 2.187.6%
Artificial AnalysisClaude Opus 5 (Low) Coding Index66,9
Artificial AnalysisClaude Opus 5 (Low) Agentic Index36,0
Artificial AnalysisClaude Opus 5 (Low) GPQA Diamond88.9%
Artificial AnalysisClaude Opus 5 (Low) HLE43.4%
Artificial AnalysisClaude Opus 5 (Low) AA-LCR81.3%
Artificial AnalysisClaude Opus 5 (Low) τ-Bench Banking30.3%
Artificial AnalysisClaude Opus 5 (Low) GDPval-AA40.5%
Artificial AnalysisClaude Opus 5 (Low) CritPt23.1%
Artificial AnalysisClaude Opus 5 (Low) SciCode49.2%
Artificial AnalysisClaude Opus 5 (Low) Terminal-Bench 4.026.3%
Artificial AnalysisClaude Opus 5 (Low) Terminal-Bench 2.176.4%
Artificial AnalysisClaude Opus 5 (Medium) Coding Index74,3
Artificial AnalysisClaude Opus 5 (Medium) Agentic Index46,2
Artificial AnalysisClaude Opus 5 (Medium) GPQA Diamond91.9%
Artificial AnalysisClaude Opus 5 (Medium) HLE51.3%
Artificial AnalysisClaude Opus 5 (Medium) AA-LCR82.0%
Artificial AnalysisClaude Opus 5 (Medium) τ-Bench Banking38.6%
Artificial AnalysisClaude Opus 5 (Medium) GDPval-AA49.9%
Artificial AnalysisClaude Opus 5 (Medium) CritPt26.9%
Artificial AnalysisClaude Opus 5 (Medium) SciCode51.5%
Artificial AnalysisClaude Opus 5 (Medium) Terminal-Bench 4.034.3%
Artificial AnalysisClaude Opus 5 (Medium) Terminal-Bench 2.186.1%
Design ArenaClaude Opus 5 Agents Arena Agenticgamedev Elo1206
Design ArenaClaude Opus 5 Agents Arena Androidnative Elo1252
Design ArenaClaude Opus 5 Agents Arena Blender3d Elo1201
Design ArenaClaude Opus 5 Agents Arena Full Stack Elo1306
Design ArenaClaude Opus 5 Agents Arena Godotgamedev Elo1279
Design ArenaClaude Opus 5 Agents Arena Mobile Apps Elo1348
Design ArenaClaude Opus 5 Agents Arena Pdf Elo1234
Design ArenaClaude Opus 5 Agents Arena Python-Pptxslides Elo1218
Design ArenaClaude Opus 5 Agents Arena Spreadsheet Elo1178
Design ArenaClaude Opus 5 Agents Arena Webapps Elo1253
Design ArenaClaude Opus 5 Models Arena 3D Elo1333
Design ArenaClaude Opus 5 Models Arena Asciiart Elo1358
Design ArenaClaude Opus 5 Models Arena Code Categories Elo1323
Design ArenaClaude Opus 5 Models Arena Data Visualization Elo1331
Design ArenaClaude Opus 5 Models Arena Game Development Elo1339
Design ArenaClaude Opus 5 Models Arena SVG Elo1307
Design ArenaClaude Opus 5 Models Arena UI Component Elo1346
Design ArenaClaude Opus 5 Models Arena Website Elo1308
Vals AIClaude Opus 5 BioMysteryBench79.3%
Vals AIClaude Opus 5 Code Migration57.5%
Vals AIClaude Opus 5 CorpFin v273.2%
Vals AIClaude Opus 5 CyberBench v1.165.4%
Vals AIClaude Opus 5 EMB73.6%
Vals AIClaude Opus 5 Finance Agent (v2)58.6%
Vals AIClaude Opus 5 GPQA Diamond93.4%
Vals AIClaude Opus 5 Harvey's Legal Agent Benchmark v16.7%
Vals AIClaude Opus 5 IOI84.3%
Vals AIClaude Opus 5 LiveCodeBench89.0%
Vals AIClaude Opus 5 LegalBench87.0%
Vals AIClaude Opus 5 Legal Research Bench55.3%
Vals AIClaude Opus 5 MedCode63.6%
Vals AIClaude Opus 5 MedScribe91.0%
Vals AIClaude Opus 5 MMLU Pro91.6%
Vals AIClaude Opus 5 MMMU Pro89.9%
Vals AIClaude Opus 5 MortgageTax72.1%
Vals AIClaude Opus 5 MysteryMechanism37.4%
Vals AIClaude Opus 5 ProgramBench3.0%
Vals AIClaude Opus 5 ProofBench v1.199.0%
Vals AIClaude Opus 5 Public Benefits Bench v1.176.9%
Vals AIClaude Opus 5 Vals RSI Index33.0%
Vals AIClaude Opus 5 SAGE v149.4%
Vals AIClaude Opus 5 Vals Science Index47.9%
Vals AIClaude Opus 5 SkillsBench60.4%
Vals AIClaude Opus 5 SRE Bench12.2%
Vals AIClaude Opus 5 SWE-bench97.0%
Vals AIClaude Opus 5 Tax Agent Bench45.5%
Vals AIClaude Opus 5 TaxEval v275.1%
Vals AIClaude Opus 5 Terminal-Bench 4.053.5%
Vals AIClaude Opus 5 Terminal-Bench-Science27.1%
Vals AIClaude Opus 5 Vals Index63.7%
Vals AIClaude Opus 5 Vals Multimodal Index73.9%
Vals AIClaude Opus 5 Vibe Code Bench 1-10028.5%
Vals AIClaude Opus 5 Vibe Code Bench v1.188.4%

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 Opus

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 Opus 5 (batch) en OpenRouter.

  • Claude Opus 5 Migration GuideRecetario
  • Is Jev as Accurate as Frontier Models at Classification?Publicación del blog

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GPQA DiamondTAU-BenchGoogle Vertex89,1 %79,2 %Azure90,5 %77,5 %auto-routing89,2 %78,6 %Amazon Bedrock88,3 %79,0 %Azure90,0 %77,3 %Claude Platform on AWS89,5 %77,8 %Google Vertex89,3 %76,9 %Google Vertex89,6 %76,5 %Amazon Bedrock88,1 %77,4 %Amazon Bedrock88,5 %76,6 %
+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 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.

La documentación de Claude Opus 5 (batch) en OpenRouter incluye la guía práctica Claude Opus 5 Migration Guide y la publicación del blog Is Jev as Accurate as Frontier Models at Classification?. 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 (batch) cuesta 2,50 US$/M de tokens de entrada y 12,50 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,25 US$/M tokens, Cache Write a 3,125 US$/M tokens, Cache Write (1h) a 5,00 US$/M tokens y Web Search a 10,00 US$/1K calls.

Claude Opus 5 (batch) tiene una ventana de contexto de 1.000.000 tókenes. Admite hasta 128.000 tókenes de respuesta.

Sí. Claude Opus 5 (batch) admite tools y tool_choice para llamadas a funciones. También admite salidas estructuradas mediante un esquema JSON en response_format.

Claude Opus 5 (batch) acepta texto, imágenes 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 5 (batch) se lanzó el 24 de julio 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 Opus 5 (batch) cuesta 2,50 US/Mdetokensdeentraday12,50 US/M de tokens de entrada y 12,50 US/Mdetokensdeentraday12,50 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,25 US/Mtokens,CacheWritea3,125 US/M tokens, Cache Write a 3,125 US/Mtokens,CacheWritea3,125 US/M tokens, Cache Write (1h) a 5,00 US/MtokensyWebSearcha10,00 US/M tokens y Web Search a 10,00 US/MtokensyWebSearcha10,00 US/1K calls.