Claude 3 Haiku

Model Overview

Claude 3 Haiku is Anthropic's fastest, most compact model designed for near-instant responsiveness. It excels at answering simple queries and requests with remarkable speed, enabling seamless AI experiences that closely mimic human interactions.

Key Features

  • Fastest and most compact model in the Claude 3 family
  • Near-instant responsiveness
  • Multimodal capabilities (text and vision)
  • 200K context window
  • Multi-language support
  • Optimized for simple queries and quick responses

Technical Specifications

  • Model ID: anthropic.claude-3-haiku-20240307-v1:0
  • Modality: TEXT & VISION
  • Max tokens: 200k
  • Languages: English and multiple other languages
  • Deployment type: Serverless
  • Release date: March 14, 2024
  • Version: v1
  • Access status: Access granted

Use Cases

  • Conversational AI: Building responsive chat interfaces
  • Image Understanding: Processing and analyzing visual inputs
  • Quick Q&A: Providing fast responses to straightforward questions
  • Customer Support: Handling routine customer inquiries
  • Real-time Interactions: Applications requiring minimal latency
  • Mobile Applications: Ideal for resource-constrained environments
  • Content Moderation: Quick screening of user-generated content

Categories

  • Image to text
  • Conversation
  • Chat optimized

Anthropic

Leading company focused on AI safety and ethics

Claude 3 Haiku

Parameters 200K context window
Output tokens 200k tokens

Claude 3 Haiku is Anthropic's fastest, most compact model designed for near-instant responsiveness.

Official: $0.25 • $1.25 Our Price: $0.20 • $1.00 Save 20%

Frequently Asked Questions

What is the uptime guarantee?
We guarantee 99.9% uptime with our enterprise-grade infrastructure and redundant systems.
How is pricing calculated?
Pricing is based on the number of tokens processed. Both input and output tokens are counted in the final cost.
What is the difference between GPT-4 and GPT-4 Turbo?
GPT-4 Turbo is the latest version with improved performance, longer context window, and more recent knowledge cutoff date.