Live Cost Tool — No Signup Required
Paste Your Prompt. See Real Costs.
Enter the exact prompt you use in production. See what each API call costs you today — then see what it costs after distillation.
Estimated at ~4 chars / token · actual count may vary ±10%
Input tokens
62
Output tokens
200
Total / call
262
Requests / month
Cost at 10K requests / month
per call · monthly total$5/M in · $15/M out
$0.0033 / call
$33.10₹2.8K
$10/M in · $30/M out
$0.0066 / call
$66.20₹5.6K
$3/M in · $15/M out
$0.0032 / call
$31.86₹2.7K
$3.5/M in · $10.5/M out
$0.0023 / call
$23.17₹1.9K
$0.10/M in · $0.20/M out
$0.00005 / call
$0.46₹39
vs GPT-4o at 10K requests
99%
cheaper with Distillfast
You save / month
₹2.7K
Per call: before
$0.0033
Per call: after
$0.00005
No credit card · Free plan includes 2 models · Under 5 min setup
Frequently Asked Questions
How much does GPT-4o cost per 1,000 requests?
A typical prompt with 500 input + 200 output tokens costs ~$0.0055 per call, or $55 per 10K requests. At 1M requests/month that is $5,500.
How many tokens is my prompt?
1 token ≈ 4 characters (¾ of a word on average). Paste your prompt above — the calculator estimates tokens in real time.
How can I reduce my LLM API costs by 80%?
Fine-tune a smaller open-source model (Llama 3.1, Mistral 7B) on your specific task. The model learns your use case and runs at 5–10% of GPT-4's price with comparable accuracy.
What is the difference between input and output tokens?
Input tokens = everything you send (system prompt + user message). Output tokens = what the model generates. Output costs 3–4× more than input on most providers.
Does token count vary between GPT-4, Claude, and Gemini?
Yes — each model uses a different tokenizer. The calculator uses the common ~4 chars/token estimate which is accurate to ±10% across all three.
When does fine-tuning beat prompt engineering?
When you run the same class of task thousands of times per day. Fine-tuning compresses your system prompt into model weights — shorter prompts, faster inference, lower cost.
Reduce these costs with a fine-tuned model: