Get all the details on Claude 3 Opus, an AI model from Anthropic. This page covers its token limits, pricing structure, key capabilities such as advanced_reasoning, function_calling, long_context, available API code samples, and performance strengths.
Key Metrics
Input Limit
200K tokens
Output Limit
No data tokens
Input Cost
$15.00/1M
Output Cost
$75.00/1M
Sample API Code
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model='claude-3-opus-20240229',
max_tokens=1024,
messages=[
{'role': 'user', 'content': 'Hello, Claude'}
]
)
print(message.model_dump_json(indent=2))Required Libraries
Benchmarks
| Benchmark | Score | Source | Notes |
|---|---|---|---|
1247 | OpenLLM Leaderboard | - | |
1076 | OpenLLM Leaderboard | - |
Notes
Strong performance on highly complex tasks, such as math and coding. Suitable for task automation across APIs and databases, R&D, brainstorming, hypothesis generation, drug discovery, strategy, advanced analysis of charts and graphs, financials, market trends, and forecasting. Enterprise-grade security, SOC II Type 2 certified, HIPAA compliance options for API. 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
Supported Data Types
Input Types
Output Types
Strengths & Weaknesses
Exceptional at
Good at
Additional Information
Latest Update
Feb 29, 2024
Knowledge Cutoff
No data