Anthropic Claude API Pricing Calculator
Wondering about how the Anthropic claude-3-sonnet API pricing works? Here's a pricing calculator.
Anthropic claude-3-sonnet
200k context
Calculated by
Pricing calculation
| Provider | Model | Context | Input/1k Tokens | Output/1k Tokens | Per Call | Total |
|---|---|---|---|---|---|---|
| Anthropic | claude-3-sonnet | 200k | $0.0030 | $0.0150 | $0.018 | $1.818 |
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Introducing Claude 3 Sonnet: Innovative AI Model
Overview
Claude 3 Sonnet is part of the newly announced Claude 3 model family, which sets new standards across various cognitive tasks. This model bridges the gap between intelligence and speed, making it suitable for a wide range of complex tasks, from customer support to data extraction.
Key Capabilities
- Enhanced Performance: Claude 3 Sonnet excels in graduate-level reasoning, knowledge retrieval, and coding proficiency. It processes complex tasks, such as context-sensitive customer support, at twice the speed of Claude 2 and Claude 2.1.
- Vision Capabilities: The model surpasses previous versions in visual reasoning, accurately interpreting charts, graphs, and other visual formats, crucial for fields like logistics and financial services.
- Coding Efficiency: In an internal assessment, Claude 3 Sonnet solved 64% of coding problems, demonstrating its ability to write, edit, and execute code independently with advanced reasoning and troubleshooting skills.
- Improved Interaction: The introduction of Artifacts enables users to interact dynamically with AI-generated content, facilitating collaboration and real-time editing within the Claude.ai platform.
- Reduced Refusals and Improved Accuracy: The model shows significant progress in understanding nuanced contexts and reducing unnecessary refusals, providing more accurate and trustworthy responses for businesses.
Responsible Design and Usage
The Claude 3 Sonnet model adheres to rigorous safety and privacy standards. External experts have tested the model to mitigate misuse, ensuring it remains at AI Safety Level 2 (ASL-2). The model is designed to avoid biases, ensuring fair and neutral responses. Furthermore, it maintains user data privacy by not training on customer data without explicit permission.
Specifications
- Model: Claude 3 Sonnet
- Context window: 200K tokens
- Potential uses: Data processing, product recommendations, code generation, and more.
- Differentiator: Balances affordability and intelligence, making it ideal for large-scale AI deployments.
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