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Claude 3 Haiku - In-Depth Overview

Anthropic · Claude 3

Current

Get all the details on Claude 3 Haiku, an AI model from Anthropic. This page covers its token limits, pricing structure, key capabilities such as multimodal_input, multilingual, vision, available API code samples, and performance strengths.

Key Metrics

Input Limit

200K tokens

Output Limit

4.1K tokens

Input Cost

$0.25/1M

Output Cost

$1.25/1M

Sample API Code

import anthropic;client = anthropic.Anthropic(api_key="my_api_key",);message = client.messages.create(model="claude-3-haiku-20240307",max_tokens=1024,messages=[{"role": "user", "content": "Hello, Claude"}]);print(message.content)

Required Libraries

anthropic
@anthropic-ai/sdk

Benchmarks

BenchmarkScoreSourceNotes
1176
lmarena.aiRank 104 (Default)
1000
lmarena.aiRank 50 (Default)
44.98
livebench.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
26.19
livebench.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
53.17
livebench.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
34.84
livebench.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
54.12
livebench.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
39.71
livebench.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
61.88
livebench.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
41.6%
vellum.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
40.6%
vellum.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
69.4%
vellum.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
54.31%
vellum.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.
28%
vellum.aiScore for Claude 3.5 Haiku, not Claude 3 Haiku.

Notes

Fastest and most compact model for near-instant responsiveness.

Capabilities

multimodal input
multilingual
vision
prompt caching
batch processing
tool use
streaming
token counting
embeddings
pdf support

Supported Data Types

Input Types

text
image

Output Types

text

Strengths & Weaknesses

Exceptional at

quick response applications
targeted performance

Good at

human like interactions
simple tasks

Additional Information

Latest Update

Mar 7, 2024

Knowledge Cutoff

Aug 1, 2023