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Favicon de anthropic

Anthropic: Claude Haiku 5.5

anthropic/claude-haiku-5.5

Comparar

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.

Modalidades
Precio de entrada / salida
0,10 US$ / 0,50 US$por 1M
Contexto
1,0M
Publicado
7 oct 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 Haiku 5.5 (Artificial Analysis, Design Arena y Vals AI)
FuentePrueba de rendimientoPuntuación
Artificial AnalysisClaude Haiku 5.5 (Medium) Intelligence Index24,6
Artificial AnalysisClaude Haiku 5.5 (Medium) HLE33.8%
Artificial AnalysisClaude Haiku 5.5 (Medium) AA-LCR77.3%
Artificial AnalysisClaude Haiku 5.5 (Medium) GDPval-AA39.1%
Artificial AnalysisClaude Haiku 5.5 (Medium) CritPt12.9%
Artificial AnalysisClaude Haiku 5.5 (Medium) SciCode49.0%
Artificial AnalysisClaude Haiku 5.5 (Medium) Terminal-Bench 4.015.2%
Artificial AnalysisClaude Haiku 5.5 (Medium) AA-Omniscience Accuracy31.7%
Artificial AnalysisClaude Haiku 5.5 (Medium) AA-Omniscience Non-Hallucination Rate59.6%
Artificial AnalysisClaude Haiku 5.5 (Low) Intelligence Index18,6
Artificial AnalysisClaude Haiku 5.5 (Low) HLE27.0%
Artificial AnalysisClaude Haiku 5.5 (Low) AA-LCR72.0%
Artificial AnalysisClaude Haiku 5.5 (Low) GDPval-AA31.5%
Artificial AnalysisClaude Haiku 5.5 (Low) CritPt9.1%
Artificial AnalysisClaude Haiku 5.5 (Low) SciCode49.2%
Artificial AnalysisClaude Haiku 5.5 (Low) Terminal-Bench 4.012.6%
Artificial AnalysisClaude Haiku 5.5 (Low) AA-Omniscience Accuracy30.4%
Artificial AnalysisClaude Haiku 5.5 (Low) AA-Omniscience Non-Hallucination Rate59.5%
Artificial AnalysisClaude Haiku 5.5 (Max) Intelligence Index36,2
Artificial AnalysisClaude Haiku 5.5 (Max) HLE44.4%
Artificial AnalysisClaude Haiku 5.5 (Max) AA-LCR82.7%
Artificial AnalysisClaude Haiku 5.5 (Max) GDPval-AA56.5%
Artificial AnalysisClaude Haiku 5.5 (Max) CritPt18.9%
Artificial AnalysisClaude Haiku 5.5 (Max) SciCode55.0%
Artificial AnalysisClaude Haiku 5.5 (Max) Terminal-Bench 4.032.8%
Artificial AnalysisClaude Haiku 5.5 (Max) AA-Omniscience Accuracy34.7%
Artificial AnalysisClaude Haiku 5.5 (Max) AA-Omniscience Non-Hallucination Rate65.8%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) Intelligence Index34,3
Artificial AnalysisClaude Haiku 5.5 (Xhigh) HLE42.7%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) AA-LCR78.3%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) GDPval-AA51.1%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) CritPt22.6%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) SciCode51.7%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) Terminal-Bench 4.029.3%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) AA-Omniscience Accuracy33.8%
Artificial AnalysisClaude Haiku 5.5 (Xhigh) AA-Omniscience Non-Hallucination Rate60.8%
Artificial AnalysisClaude Haiku 5.5 (High) Intelligence Index29,6
Artificial AnalysisClaude Haiku 5.5 (High) HLE37.3%
Artificial AnalysisClaude Haiku 5.5 (High) AA-LCR77.3%
Artificial AnalysisClaude Haiku 5.5 (High) GDPval-AA46.2%
Artificial AnalysisClaude Haiku 5.5 (High) CritPt18.6%
Artificial AnalysisClaude Haiku 5.5 (High) SciCode48.7%
Artificial AnalysisClaude Haiku 5.5 (High) Terminal-Bench 4.021.7%
Artificial AnalysisClaude Haiku 5.5 (High) AA-Omniscience Accuracy31.8%
Artificial AnalysisClaude Haiku 5.5 (High) AA-Omniscience Non-Hallucination Rate61.1%
Design ArenaClaude Haiku 5.5 Models Arena 3D Elo1338
Design ArenaClaude Haiku 5.5 Models Arena Asciiart Elo1202
Design ArenaClaude Haiku 5.5 Models Arena Code Categories Elo1281
Design ArenaClaude Haiku 5.5 Models Arena Data Visualization Elo1288
Design ArenaClaude Haiku 5.5 Models Arena Game Development Elo1321
Design ArenaClaude Haiku 5.5 Models Arena SVG Elo1204
Design ArenaClaude Haiku 5.5 Models Arena UI Component Elo1278
Design ArenaClaude Haiku 5.5 Models Arena Website Elo1262
Vals AIClaude Haiku 5.5 BioMysteryBench70.4%
Vals AIClaude Haiku 5.5 ClaimBench100.0%
Vals AIClaude Haiku 5.5 Code Migration v1.152.4%
Vals AIClaude Haiku 5.5 CyberBench v1.175.5%
Vals AIClaude Haiku 5.5 EMB v1.165.5%
Vals AIClaude Haiku 5.5 Finance Agent v2.165.4%
Vals AIClaude Haiku 5.5 Vals Finance Index57.4%
Vals AIClaude Haiku 5.5 HLAB-Vals-1.14.2%
Vals AIClaude Haiku 5.5 Immigration61.8%
Vals AIClaude Haiku 5.5 IOI47.3%
Vals AIClaude Haiku 5.5 Vals Legal Index70.3%
Vals AIClaude Haiku 5.5 Legal Research Bench43.8%
Vals AIClaude Haiku 5.5 MedCode51.5%
Vals AIClaude Haiku 5.5 MedScribe89.5%
Vals AIClaude Haiku 5.5 MysteryMechanism35.1%
Vals AIClaude Haiku 5.5 ProgramBench2.5%
Vals AIClaude Haiku 5.5 ProofBench v1.189.0%
Vals AIClaude Haiku 5.5 Public Benefits Bench v1.163.2%
Vals AIClaude Haiku 5.5 SAGE89.8%
Vals AIClaude Haiku 5.5 Vals Science Index38.5%
Vals AIClaude Haiku 5.5 SRE Bench5.7%
Vals AIClaude Haiku 5.5 SWE-bench Multimodal44.0%
Vals AIClaude Haiku 5.5 Tax Agent Bench31.9%
Vals AIClaude Haiku 5.5 Terminal-Bench 4.036.4%
Vals AIClaude Haiku 5.5 Terminal-Bench-Science10.0%
Vals AIClaude Haiku 5.5 Vals Index58.7%
Vals AIClaude Haiku 5.5 Vibe Code Bench 1-10020.4%
Vals AIClaude Haiku 5.5 Vibe Code Bench v1.190.4%

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 Haiku

Disponible mediante enrutamiento dentro de la región de la UE

Anthropic: Claude Haiku 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
Google Vertex, Amazon Bedrock
Precios en Europa
  • Google Vertex: 0,11 US$/M tokens de entrada, 0,55 US$/M tokens de salida
  • Amazon Bedrock: 0,11 US$/M tokens de entrada, 0,55 US$/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 Haiku 5.5 en OpenRouter.

  • Claude 5.5 Migration GuideRecetario
  • Build an AI Code Reviewer with OpenRouterPublicación del blog
  • How to Build Your Own Always-On AI AgentPublicación 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
  • How to Extract Tables from a PDF with an LLMPublicación 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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P50, el mejor entre los proveedores

Latencia
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P50, mejor proveedor

Pruebas de rendimiento de AutoExacto
GPQA DiamondTAU-BenchAmazon Bedrock (US)87,4 %74,8 %Google Vertex87,1 %73,7 %Amazon Bedrock86,8 %73,9 %Google Vertex (US)86,9 %73,6 %Azure87,0 %73,0 %Anthropic87,1 %72,5 %Amazon Bedrock (EU)86,9 %72,5 %auto-routing86,8 %72,4 %Azure (US)86,4 %72,6 %Google Vertex (EU)86,2 %72,3 %
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Tiempo de actividad (3 d)El modelo estaba accesible. Solicitud enrutada a un proveedor.
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Disponibilidad (3 d)El modelo devolvió una inferencia de cualquier proveedor. Los errores y las respuestas vacías cuentan en su contra.
99,95 %

Disponibilidad durante los últimos 3 días

Últimas 72 horas
Disponibilidad 99,95 %
Hace 3 díasHace 2 díasAyerAhora

Disponibilidad en las últimas 24 horas

OpenRouter Availability
99,96 %
Without Routing
97,76 %

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
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710Btókenes
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.
424Btókenes
3.
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Freebuff
Powerful coding models, funded by ads
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4.
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pi
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5.
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Preguntas frecuentes

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.

La documentación de Claude Haiku 5.5 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 How to Build Your Own Always-On AI Agent, 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 How to Extract Tables from a PDF with an LLM, 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 Haiku 5.5 cuesta 0,10 US$/M de tokens de entrada y 0,50 US$/M de tókenes de salida, con tarifas independientes para Cache Read a 0,01 US$/M tokens, Cache Write a 0,125 US$/M tokens y Cache Write (1h) a 0,20 US$/M tokens.

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

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

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

Claude Haiku 5.5 está disponible a través de 5 proveedores en OpenRouter: Google Vertex, Claude Platform on AWS, Azure, Anthropic y Amazon Bedrock. 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 Haiku 5.5 se lanzó el 7 de octubre de 2026.

Más modelos de Anthropic

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)

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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
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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$
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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$
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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 Haiku 5.5 cuesta 0,10 US/Mdetokensdeentraday0,50 US/M de tokens de entrada y 0,50 US/Mdetokensdeentraday0,50 US/M de tókenes de salida, con tarifas independientes para Cache Read a 0,01 US/Mtokens,CacheWritea0,125 US/M tokens, Cache Write a 0,125 US/Mtokens,CacheWritea0,125 US/M tokens y Cache Write (1h) a 0,20 US$/M tokens.