Tokens-per-Dollar Calculator
Enter your budget and see exactly how many AI tokens, words, and pages you can process. Compare costs across GPT, Claude, Gemini, and more.
Configuration
Results
Total Tokens
4,000,000
Est. Words
3,007,519
Est. Pages
12,030
Cost / 1K
$0.0025
Top 3 Cheapest Models
Same $10 budget, input tokens
| Model | Price / 1M | Tokens | Words | Pages |
|---|---|---|---|---|
| Llama 3.1 8B (Groq)Meta | $0.050 | 200,000,000 | 150,375,940 | 601,504 |
| Llama 4 Scout 17B (Groq)Meta | $0.110 | 90,909,091 | 68,352,700 | 273,411 |
| Qwen3.5-Plus (Alibaba)Alibaba | $0.115 | 86,956,522 | 65,380,843 | 261,523 |
Llama 3.1 8B (Groq)Meta
Llama 4 Scout 17B (Groq)Meta
Qwen3.5-Plus (Alibaba)Alibaba
Frequently Asked Questions
How much does GPT-5.4 cost per token?
GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens. That works out to $0.0025 per 1K input tokens and $0.015 per 1K output tokens. For a typical $10 budget, you can process about 4 million input tokens — roughly 3 million words or 12,000 pages of text.
How do I estimate my AI API costs?
Start by measuring your average prompt size in tokens. Multiply by the number of requests you expect, then divide by 1 million and multiply by the model's price per million tokens. Remember to calculate input and output costs separately — output tokens are typically 2–6x more expensive than input tokens. Use this calculator to quickly see how far a fixed budget stretches across different models.
What's the difference between input and output token pricing?
Input tokens are the tokens you send to the model (your prompt, system instructions, documents). Output tokens are the tokens the model generates in its response. Providers charge different rates for each because generating output requires more compute than reading input. For most models, output tokens cost 2–6x more than input tokens. When budgeting, estimate both separately based on your expected prompt and response sizes.