Count tokens for popular LLM models with real-time analysis and cost estimation
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Count tokens for popular LLM models with real-time analysis and cost estimation
Claude Sonnet 4 Token Counter
Accurately count tokens for Anthropic's Claude Sonnet 4 model. Calculate costs, optimize prompts, and understand tokenization for this powerful, cost-effective AI model.
How Claude Sonnet 4 Tokenization Works
Intelligent Tokenization System
Claude Sonnet 4 utilizes Anthropic's advanced tokenization system to break down text into meaningful units called “tokens.” This sophisticated process enables the model to understand context, maintain coherence, and deliver high-quality responses while optimizing performance and cost efficiency.
Balanced Performance
Claude Sonnet 4 offers an optimal balance between capability and cost, making it ideal for production applications that require high-quality output without the premium pricing of Opus-level models.
Token Efficiency
Like other Claude models, Sonnet 4 typically uses 1 token per 3-4 characters of English text, though this varies by language complexity and content type.
Accurate Token Counting
Our token counter implements the same tokenization algorithm used by Claude Sonnet 4, providing precise counts to help you optimize prompts and manage your 200,000-token context window effectively.
Understanding the 200K Context Window
Claude Sonnet 4 features an impressive 200,000-token context window, matching the capacity of higher-tier models while maintaining cost efficiency. This extensive memory allows the model to maintain context across long conversations, analyze large documents, and handle complex multi-step reasoning tasks.
With 200K tokens at your disposal, you can process entire research papers, analyze comprehensive code repositories, conduct detailed document comparisons, or maintain context-rich conversations without losing important details from earlier interactions.
Cost-Effective Scale
Sonnet 4 provides the same massive context window as premium models at a significantly lower cost, making large-scale text processing accessible for everyday applications.
Production Ready
With excellent context retention and reasoning capabilities, Sonnet 4 is ideal for production applications requiring consistent, high-quality outputs at scale.
Vision Capabilities and Image Processing
Advanced Visual Understanding
Claude Sonnet 4 includes sophisticated computer vision capabilities, enabling it to analyze and understand images, charts, diagrams, screenshots, and other visual content with remarkable accuracy and detail.
When processing images, the visual content is converted into tokens using a specific formula. This allows you to estimate the token cost of including images in your prompts:
Image Token Calculation
tokens = (image_width_px * image_height_px) / 750Document Analysis
Excellent at analyzing documents, extracting text from images, understanding charts and graphs, and providing detailed descriptions of visual content.
Cost Efficiency
Provides excellent vision capabilities at a lower cost than premium models, making image analysis more accessible for regular use.
Token Budget Consideration
While this tool focuses on text tokenization, remember that images consume tokens from your 200K budget. Use the formula above to estimate image costs before uploading.
Cost-Effective Pricing Structure
Claude Sonnet 4 offers exceptional value with competitive pricing that makes advanced AI capabilities accessible for a wide range of applications. Understanding token costs helps you optimize usage and budget effectively for your projects.
Claude Sonnet 4 Pricing Structure
Input Tokens
Text sent to the model
per 1 million tokens
Output Tokens
Text generated by the model
per 1 million tokens
Smart Cost Management
Our token counter provides real-time cost estimates based on these rates, helping you optimize prompts for maximum efficiency. Sonnet 4 offers 5x lower costs than Opus 4 while maintaining excellent performance.
Production Scale
Ideal for applications requiring consistent, high-quality responses at scale, with costs that make frequent usage sustainable for businesses and developers.
Predictable Costs
With accurate token counting, you can predict and control your API costs, making budget planning easier for projects of any size.