Anthropic, a tech company, has launched a new AI model called Claude 3.5 Sonnet. It’s designed to be faster and cheaper than their previous model, Claude 3 Opus, while also excelling in tasks like customer support and workflow management. The text compares Claude 3.5 Sonnet with GPT-4o, another leading AI model, across various tasks.
Is Claude Sonnet 3.5 Better Than GPT-4o?
Performance and Cost Comparison
| Aspect | Claude 3.5 Sonnet | GPT-4o |
|---|---|---|
| Speed | 2x faster than Claude 3 Opus | – |
| Cost | 5x cheaper than Claude 3 Opus | – |
| Context Window | 200K tokens | 128K tokens |
- Speed: Claude 3.5 Sonnet is twice as fast as its predecessor, Claude 3 Opus.
- Cost: It is five times cheaper than Claude 3 Opus, making it more cost-effective.
- Context Window: It uses a larger context window (200K tokens) compared to GPT-4o (128K tokens), which can enhance its performance in tasks requiring broader context understanding.
Use Cases
- Claude 3.5 Sonnet is recommended for:
- Context-sensitive customer support
- Managing multi-step workflows
- Tasks requiring a large context window and efficient processing
Task-Specific Performance Comparison
Data Extraction from Legal Contracts
| Metric | Claude 3.5 Sonnet | GPT-4o |
|---|---|---|
| Accuracy | 60-80% | 60-80% |
| Specific Performance | GPT-4o slightly better | – |
- Both models achieve similar accuracy rates (60-80%), but GPT-4o shows slightly better performance in specific fields of data extraction from legal contracts.
Customer Tickets Classification
| Metric | Claude 3.5 Sonnet | GPT-4o |
|---|---|---|
| Accuracy | 72% | 65% |
| Precision | 85% | 86.21% |
| Performance | Better accuracy, lower precision than GPT-4o |
- Claude 3.5 Sonnet achieves higher accuracy (72%) than GPT-4o (65%), but GPT-4o demonstrates higher precision (86.21%), crucial for accurate classification of customer issues.
Verbal Reasoning on Math Riddles
| Metric | Claude 3.5 Sonnet | GPT-4o |
|---|---|---|
| Accuracy | 44% | 69% |
| Strengths | Analogy questions | Mathematical reasoning, factual accuracy |
| Challenges | Numerical and factual questions | – |
- GPT-4o outperforms Claude 3.5 Sonnet in accuracy (69% vs. 44%), particularly in numerical and factual reasoning tasks. Claude 3.5 Sonnet performs better on analogy questions but struggles with numerical and factual queries.
Performance Metrics
Latency and Throughput
- Latency: Claude 3.5 Sonnet is faster than Claude 3 Opus but slower than GPT-4o.
- Throughput: Claude 3.5 Sonnet’s throughput has significantly improved from Claude 3 Opus but is comparable to GPT-4o.
Benchmark Comparisons
- Claude 3.5 Sonnet performs well in:
- Graduate-level reasoning
- Code tasks
- Multilingual math tasks
- GPT-4o generally leads in precision and overall reliability across various tasks.
Conclusion
While Claude 3.5 Sonnet shows strengths in certain specialized tasks and offers improved speed and cost-efficiency over its predecessor, GPT-4o generally outperforms it in precision-critical tasks like data extraction and mathematical reasoning.
For applications where precision and reliability are paramount, such as in legal data extraction or complex reasoning tasks, GPT-4o may be preferred despite potentially higher costs and slightly slower speed.
Claude 3.5 Sonnet, with its faster processing and competitive performance in certain tasks like customer support, could be a better fit for applications prioritizing cost-effectiveness and broader context understanding.