de Anthropic ultra-rápido, compacto modelo diseñado para instant responsiveness, ligero documento auditing, y costo-conscious producción canalizaciones.
Technical Specifications
- Provider
- Anthropic
- Category
- fast
- Release Date
- 2024-03
- Batch API Discount
- 50% off async batch
- Consumer Subscription
- $20 / month
- Reasoning Effort Control
- Fixed
- 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-3-haiku-20240301
- Supported SDK & API Protocol
- Anthropic Messages API + AWS Bedrock + Vertex AI
- Lifecycle & Deprecation Status
- Legacy Stable (Upgrade path available in Anthropic lineup)
- Production Rate Limits (RPM & TPM)
- 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 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
- $0.025/1M 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 3 Haiku Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~370 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 3 Haiku:
Benchmark Scores & 6-Axis Capability Radar
- SWE-bench Verified
- 10.5%
- GPQA Diamond
- 33%
- MMLU-Pro
- 61.2%
- HumanEval
- 60.5%
- Chatbot Arena Elo
- 1175pts
Strengths
- Processes 20,000 words de investigación en bajo 3 seconds
- Extremely costo-effective ($0.25/$1.25 por 1M tokens) con prompt caching discounts
- completo 200,000 token ventana de contexto en un ligero modelo
Limitations & Trade-offs
- codificación y matemático razonamiento scores menor que insignia tiers
- no suited para multifarchivo architectural refactorización
Editorial Assessment
el ideal modelo cuando latencia y económico son superior priorities sin giving up grande contexto windows.
Best for: en tiempo real cliente chat, instant content moderation, y alto-frequency documento triaje
Compare Claude 3 Haiku
Frequently Asked Questions about Claude 3 Haiku
How much does the Claude 3 Haiku API cost per 1M tokens?+
Claude 3 Haiku by Anthropic is priced at $0.25 per 1M input tokens and $1.25 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.025 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.
Should I use a $20/month subscription or the Claude 3 Haiku 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 3 Haiku's context window?+
Claude 3 Haiku features a 200K tokens context window, which equals approximately 150,000 English words or ~400 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 4,096 tokens.
Can I run Claude 3 Haiku locally on my own GPU (Open Weights)?+
No, Claude 3 Haiku 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 3 Haiku 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 3 Haiku perform on coding and reasoning benchmarks?+
Claude 3 Haiku achieves a composite Intelligence Index of 33/100, scoring 10.5% on SWE-bench Verified, 33% on GPQA Diamond, 61.2% on MMLU-Pro, and 1175 pts on Chatbot Arena Elo.
What is Claude 3 Haiku best used for?+
Claude 3 Haiku is best suited for: en tiempo real cliente chat, instant content moderation, y alto-frequency documento triaje. Assessment: el ideal modelo cuando latencia y económico son superior priorities sin giving up grande contexto windows.
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 Sonnet 5.5
Claude Opus 5
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Claude 3 Haiku:
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.
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.
Un protocolo abierto desarrollado por Anthropic que permite a los agentes de IA conectarse de forma estandarizada a sistemas de archivos locales, entornos de desarrollo y servicios externos.
Una optimización donde los proveedores almacenan estados de atención previos para prefijos de prompts frecuentes, reduciendo el coste de entrada hasta en un 90% y acelerando la respuesta.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.