d'Anthropic ultra-rapide, compact modèle conçu pour instant responsiveness, léger document auditing, et coût-conscious production pipelines.
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 recherche dans sous 3 seconds
- Extremely coût-effective ($0.25/$1.25 par 1M tokens) avec prompt caching discounts
- complet 200,000 token fenêtre de contexte sur un léger modèle
Limitations & Trade-offs
- codage et mathématique raisonnement scores inférieur que phare tiers
- pas suited pour multifichier architectural refactorisation
Editorial Assessment
le ideal modèle lorsque latence et économique sont haut de gamme priorities sans giving up grand contexte windows.
Best for: en temps réel client chat, instant content moderation, et élevé-frequency document triage
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 temps réel client chat, instant content moderation, et élevé-frequency document triage. Assessment: le ideal modèle lorsque latence et économique sont haut de gamme priorities sans giving up grand contexte 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:
L'unité textuelle de base traitée par un modèle linguistique, représentant généralement 3 à 4 caractères ou environ 0,75 mot. Par exemple, une phrase courante est découpée en plusieurs jetons.
Une suite de tests standardisés permettant d'évaluer et de comparer objectivement les performances des modèles d'IA sur des tâches ciblées (code avec SWE-bench, mathématiques avec AIME, etc.).
Le nombre maximal de jetons qu'un modèle peut traiter simultanément (entrée et sortie comprises). Une fenêtre de 1 000 000 jetons permet d'analyser environ 750 000 mots en une seule requête.
La capacité d'un LLM à déterminer quand une action externe est requise et à générer des arguments structurés pour invoquer des API, calculatrices ou bases de données avant de poursuivre.
Un standard ouvert créé par Anthropic permettant aux agents d'IA de se connecter de façon uniforme aux systèmes de fichiers locaux, aux environnements de développement et aux API tierces.
Une optimisation tarifaire et technique conservant les états d'attention des préfixes de prompts récurrents, réduisant les coûts d'entrée de 50 à 90 % tout en abaissant la latence.
Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.