Logo
Back to all models

Claude 3.7 Sonnet - In-Depth Overview

Anthropic · Claude 3.7

Current
Flagship
Latest in family

Get all the details on Claude 3.7 Sonnet, an AI model from Anthropic. This page covers its token limits, pricing structure, key capabilities such as advanced_reasoning, agent_capabilities, batch_processing, available API code samples, and performance strengths.

Key Metrics

Input Limit

200K tokens

Output Limit

4.1K tokens

Input Cost

$3.00/1M

Output Cost

$15.00/1M

Sample API Code

import anthropic;client = anthropic.Anthropic(api_key='my-api-key',);message = client.messages.create(model='claude-3-7-sonnet-20250219',max_tokens=1024,messages=[{'role': 'user', 'content': 'Hello, world!'}]);print(message.content);

Required Libraries

anthropic
@anthropic-ai/sdk

Benchmarks

BenchmarkScoreSourceNotes
1290
lmarena.ai-
1357
lmarena.ai-
1208
lmarena.ai-
64.62
livebench.ai-
49.11
livebench.ai-
74.28
livebench.ai-
64.65
livebench.ai-
59.96
livebench.ai-
63.19
livebench.ai-
76.49
livebench.ai-
62.3
vellum.ai-
23.3
vellum.ai-
68
vellum.ai-
82.2
vellum.ai-
58.3
vellum.ai-
60.4
vellum.ai-

Notes

Our most intelligent model with extended thinking capabilities. Balances intelligence and speed for high-throughput tasks. Resistant to jailbreaks and misuse. Very low hallucination rates. Accurate over long documents. Great for coding tasks and fluency in English and non-English languages.

Capabilities

advanced reasoning
agent capabilities
batch processing
citations
embeddings
extended thinking
function calling
long context
multilingual support
pdf support
prompt caching
streaming
token counting
tool use
vision

Supported Data Types

Input Types

text
image

Output Types

text

Strengths & Weaknesses

Exceptional at

extended thinking
complex reasoning
advanced problem solving
nuanced strategic analysis
sophisticated research
code generation
vision tasks
tool use
long context processing
low hallucination rate
accuracy over long documents
multilingual fluency

Additional Information

Latest Update

Feb 19, 2025

Knowledge Cutoff

Apr 1, 2024