Claude 3.5 Sonnet

93.2
Score

Overall Performance Score

Anthropic Logo Anthropic
2024-06-20
94%
TextGeneration
93%
Reasoning
92%
Coding

Overview

What is Claude 3.5 Sonnet?

Anthropic's balanced AI model offering exceptional performance across reasoning, coding, and analysis with strong safety.

Created by:

Anthropic

Release Date:

2024-06-20

Capabilities Overview

TextGeneration 94%
Reasoning 93%
Coding 92%
Multimodal 90%
Safety 97%

Technical Specifications

Architecture

type: Constitutional AI Transformer
parameters: Unknown
context: 200,000 tokens
trainingDataUpTo: April 2024
architecture: Advanced transformer with Constitutional AI training, enhanced safety layers, multimodal processing, and RLHF

Performance Metrics

MMLU: 93.5%
HumanEval: 90.8%
Context Window: 200K
Safety Score: 97%
Coding: 92%

Performance Dashboard

TextGeneration

94%

Reasoning

93%

Coding

92%

Multimodal

90%

Safety

97%

Technical Metrics

Parameters: Unknown
ContextWindow: 200000
Latency: 220
Accuracy: 93.5
Cost: $0.024/1K tokens

Benchmark Performance

MMLU 93.5%
HumanEval 90.8%
Context Window 200K
Safety Score 97%
Coding 92%

Features

Safety First

Industry-leading safety and ethical AI practices

200K Context

Massive context window for extensive analysis

Advanced Reasoning

Exceptional logical thinking and analysis

Code Expert

Superior programming capabilities

Vision Support

Image understanding capabilities

Balanced

Optimal balance of capability and efficiency

Pros & Cons

Advantages

  • Excellent safety
  • Large context
  • Strong reasoning
  • Great coding

Disadvantages

  • Higher cost
  • Limited availability
  • Slower than GPT
  • Conservative

What can it do?

Document Analysis

Analyze lengthy documents with nuanced understanding

Code Review

Review and improve code with detailed feedback

Ethical Analysis

Evaluate ethical implications and considerations

Frequently Asked Questions

Global Presence

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World Map

Headquarters

Sofia, Bulgaria

MENA Partner (TiTrias)

Cairo, Egypt

US Partners

New York, USA

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    Paris, 2025

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Customer Satisfaction

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Enterprise Users

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