Claude 3.5 Haiku (2024-10-22)

Anthropic chatvision Long

API ID: anthropic/claude-3-5-haiku-20241022

Input Price
$0.80
/1M tokens
Output Price
$4.00
/1M tokens

About Claude 3.5 Haiku (2024-10-22)

Claude 3.5 Haiku features enhancements across all skill sets including coding, tool use, and reasoning. As the fastest model in the Anthropic lineup, it offers rapid response times suitable for applications that require high interactivity and low latency, such as user-facing chatbots and on-the-fly code completions. It also excels in specialized tasks like data extraction and real-time content moderation, making it a versatile tool for a broad range of industries. It does not support image inputs. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/3-5-models-and-computer-use)

๐Ÿ’ฐ
Price Ranking
#1053 lowest price among 1240 Chat models

Model Specifications

Context Length
200k
Max Output
โ€”
Release Date
2024-11-04
Capabilities
chat vision
Input Modalities
textimagefile
Output Modalities
text

Best For

  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$1.56
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$48.00
/month
1000 tickets/day, ~800 tokens each

Anthropic Model Lineup

Compare all models from Anthropic to find the best fit

Model Input Output Context Capabilities
Claude 3.5 Haiku (2024-10-22) Current Free Free 200k chat vision
Claude 3.5 Sonnet (2024-06-20) Free Free 200k chat vision
Claude 3.5 Sonnet (2024-06-20) Free Free 200k chat vision
Claude 3 Sonnet Free Free 200k chat vision
Claude 3 Sonnet Free Free 200k chat vision
Claude 3 Opus Free Free 200k chat vision

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๐Ÿš€ Quick Start

Get started with Claude 3.5 Haiku (2024-10-22) API

Anthropic Python SDK
import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="anthropic/claude-3-5-haiku-20241022",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(message.content[0].text)