el mainstream medio-nivel insignia de late 2026, heredando el generacional advances de Opus 5.5 un estándar Sonnet precios para producción engineering swarms.
Technical Specifications
- Provider
- Anthropic
- Category
- flagship
- Release Date
- 2026-09
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- $20 / month
- Reasoning Effort Control
- Configurable (Low / Med / High)
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- claude-sonnet-5-5-20260901
- Supported SDK & API Protocol
- Anthropic Messages API + AWS Bedrock + Vertex AI
- Lifecycle & Deprecation Status
- Active GA (Guaranteed support through 2028+)
- Production Rate Limits (RPM & TPM)
- 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
- Prompt Cache Write & TTL Policy
- $0.2/1M cached read (90% off); 5-min default & 1-hour extended TTL
- Computer Use & Browser GUI Agent
- Supported (Screen coordinate grounding, browser & desktop GUI action loops)
- MCP & Parallel Tool Calling
- Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
- Web Search Grounding & Code Sandbox
- Native Web Search Citations + Code Execution Tool + MCP Connectors
- Fine-Tuning & Distillation Support
- Custom Model Tuning via Amazon Bedrock & Prompt Distillation
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
- Weights Precision & Quantization
- Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
- Minimum GPU VRAM Requirement
- Zero Local VRAM Required (100% Serverless Cloud API)
- Supported Inference Engines
- Managed Anthropic Cloud API
- System Card & Safety Framework
- Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Claude Sonnet 5.5 Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~46 requests/day equals $20/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to Claude Sonnet 5.5:
Benchmark Scores & 6-Axis Capability Radar
- SWE-bench Verified
- 82.9%
- GPQA Diamond
- 79.4%
- MMLU-Pro
- 90.1%
- HumanEval
- 97.6%
- Terminal-Bench
- 58.9%
- Chatbot Arena Elo
- 1490pts
Strengths
- Incredible 82.9% SWE-bench Verified score un cotidiano $3/$15 API rates
- completo 1M token contexto con alto-velocidad 105 tokens/sec generación
- Streamlined multi-agente coordination con bajo latencia
Limitations & Trade-offs
- Slightly behind Opus 5.5 en extremely denso multi-hour científico theorems
- Cached prompt overhead during masivo 1M token updates
Editorial Assessment
el ultimate valor-para-money modelo de frontera de late 2026.
Best for: Daily producción development, flujos de trabajo agénticos, IDE integrations, y automatizado code revisión
Compare Claude Sonnet 5.5
Frequently Asked Questions about Claude Sonnet 5.5
How much does the Claude Sonnet 5.5 API cost per 1M tokens?+
Claude Sonnet 5.5 by Anthropic is priced at $2 per 1M input tokens and $10 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.2 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the Claude Sonnet 5.5 pay-as-you-go API?+
A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.
How many words and pages fit in Claude Sonnet 5.5's context window?+
Claude Sonnet 5.5 features a 1M tokens context window, which equals approximately 750,000 English words or ~2,000 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 128,000 tokens.
Can I run Claude Sonnet 5.5 locally on my own GPU (Open Weights)?+
No, Claude Sonnet 5.5 is a proprietary closed-weights model hosted by Anthropic. It cannot be downloaded for local GPU execution and must be accessed via Anthropic's official API or cloud platform.
Does Anthropic train on data sent to the Claude Sonnet 5.5 API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Anthropic Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Anthropic API, AWS Bedrock, Google Cloud Vertex AI.
How does Claude Sonnet 5.5 perform on coding and reasoning benchmarks?+
Claude Sonnet 5.5 achieves a composite Intelligence Index of 78/100, scoring 82.9% on SWE-bench Verified, 79.4% on GPQA Diamond, 90.1% on MMLU-Pro, and 1490 pts on Chatbot Arena Elo.
What is Claude Sonnet 5.5 best used for?+
Claude Sonnet 5.5 is best suited for: Daily producción development, flujos de trabajo agénticos, IDE integrations, y automatizado code revisión. Assessment: el ultimate valor-para-money modelo de frontera de late 2026.
Anthropic Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to Anthropic's flagship reasoning tier:
Claude Haiku 5.5
Claude Opus 5.5
Claude Mythos 5.1
Claude Fable 5.1
Claude Opus 5
Claude Fable 5
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Claude Sonnet 5.5:
La unidad básica de texto que procesa un modelo de lenguaje, que normalmente equivale a 3 o 4 caracteres o aproximadamente 0,75 palabras. Por ejemplo, una frase típica se divide en varios tokens.
Un conjunto estandarizado de pruebas para evaluar y comparar objetivamente las capacidades de distintos modelos de IA en tareas como programación (SWE-bench) o matemáticas avanzadas (AIME).
La cantidad máxima de tokens que un modelo puede considerar a la vez, incluyendo tanto la entrada que lee como la salida que genera. Una ventana de 1.000.000 de tokens puede procesar unas 750.000 palabras en una sola petición.
Un modelo de IA entrenado para invertir cómputo adicional en pensar y validar hipótesis lógicas antes de responder, diseñado para problemas complejos de ingeniería y matemáticas.
Una técnica de razonamiento paso a paso donde el modelo genera pensamientos intermedios antes de formular la respuesta final, mejorando radicalmente la resolución de problemas matemáticos y lógicos.
La capacidad de un modelo de detectar la necesidad de una función externa y emitir argumentos JSON estructurados para ejecutar API, búsquedas web o consultas a bases de datos.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.