📝 Token Estimation
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Chinese est: 0 tokens
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The AI API Cost Calculator is a free online tool that helps developers and businesses accurately estimate the cost of using Large Language Model (LLM) APIs before committing. It supports pricing comparison across OpenAI GPT series, Anthropic Claude series, Google Gemini, DeepSeek, and other popular models, making your AI project budget transparent and predictable.
1. Select the LLM model you want to use in the "Cost Calculator" tab
2. Enter estimated input and output token counts, or paste text for auto-estimation
3. Click "Calculate Cost" to see a detailed cost breakdown
4. Switch to the "Price Comparison" tab to compare all models at the same token usage level
5. Use the "Monthly Budget" tab to enter daily request counts and plan long-term costs
Startup teams need to integrate LLM APIs but aren't sure which model offers the best value. Use this tool to enter estimated token usage and compare all model costs in one click, quickly identifying the most cost-effective option.
Enterprise AI projects need to request API budgets from management. Use the monthly budget feature to calculate precise monthly cost estimates based on actual business volume, making budget approvals more data-driven.
An existing project uses GPT-4 but costs are too high. Through the comparison tool, discover that Claude 3.5 Sonnet or DeepSeek-V3 offers similar performance at lower prices, successfully reducing API costs by over 60%.
Use the token estimation feature to precisely measure token consumption differences between different prompt styles, optimizing prompt design and reducing unnecessary token waste.
LLM API billing is based on token count, where a token is the smallest unit of text the model processes. English text has approximately 1 token per 4 characters, while Chinese has about 1 token per 1-2 characters. Most models charge significantly more for output tokens than input tokens (typically 3-5x), because text generation requires substantially more inference compute. When choosing a model, consider not just unit price but also model capability, latency, context window, and other factors. For high-traffic scenarios, consider a hybrid strategy using cheaper small models for simple requests and large models for complex ones.
It supports OpenAI (GPT-4o, GPT-4 Turbo, GPT-3.5 Turbo, o1, o3-mini), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku), Google (Gemini 1.5 Pro, Gemini 1.5 Flash), DeepSeek (DeepSeek-V3, DeepSeek-R1), Meta (Llama 3.1), and custom pricing.
For English text, approximately 1 token per 4 characters or 0.75 words. For Chinese text, approximately 1 token per 1-2 characters. The tool provides both manual input and automatic estimation based on character count.
Pricing data is sourced from official provider pages, but API prices may change at any time. Always verify with the provider's official pricing page before making decisions. Built-in prices are for reference only.
Enter your daily request count and average input/output tokens per request. The tool automatically calculates daily and monthly (30-day) estimated costs for budget planning.
Most LLM APIs charge more for output tokens because generating text requires significantly more compute resources. For example, GPT-4o costs $2.5/M input tokens vs $10/M output tokens — 4x more for output.
No. This tool runs entirely in your browser. All calculations happen client-side, and no data is ever uploaded to any server. Your privacy is fully protected.