How to Use the LLM Cost Analyzer
A step-by-step walkthrough to compare LLM providers, calculate costs, and optimize your AI infrastructure—using real pricing data.
Calculate Your Costs
Start by entering your actual usage patterns into the calculator. You'll need to estimate three key metrics: how many tokens you send to the model (input), how many tokens the model generates (output), and how many requests you make per day.
Input
2,000 tokens per document
(~1,500 words)
Output
500 tokens per response
(~375 words)
Daily Volume
10,000 requests/day
(300,000 requests/month)
Compare Real Pricing Across Providers
Using the example above (2,000 input tokens, 500 output tokens, 10,000 requests/day), here's what you'd actually pay with different providers. All prices are current as of November 2024 and updated daily from Helicone's API.
| Model | Input Cost | Output Cost | Monthly Total | Savings vs. GPT-4o |
|---|---|---|---|---|
| GPT-4o | $2.50/1M | $10.00/1M | $6,000 | — |
| GPT-4o Mini | $0.15/1M | $0.60/1M | $360 | $5,640 (94%) |
| Claude 3.5 Sonnet | $3.00/1M | $15.00/1M | $7,500 | -$1,500 (-25%) |
| Claude 3.5 Haiku | $0.80/1M | $4.00/1M | $2,280 | $3,720 (62%) |
| Gemini 1.5 Flash | $0.075/1M | $0.30/1M | $180 | $5,820 (97%) |
| Gemini 2.0 Flash | $0.10/1M | $0.40/1M | $240 | $5,760 (96%) |
Key Insight
For high-volume document processing, Gemini 1.5 Flash costs 97% less than GPT-4o while maintaining similar quality. That's $5,820/month in savings or $69,840/year—enough to hire an additional engineer.
Apply Optimization Strategies
Once you've chosen a provider, you can reduce costs even further with proven optimization techniques. These strategies work across all major LLM providers and can cut your bill by an additional 50-90%.
If you're sending the same system prompt or context repeatedly, prompt caching can reduce costs by 75-90%. Supported by Anthropic Claude and Google Gemini.
Example: Gemini 1.5 Flash with Caching
OpenAI's Batch API offers 50% discounts for non-urgent requests processed within 24 hours. Perfect for analytics, data processing, or overnight jobs.
Example: GPT-4o Mini Batch Processing
Reduce unnecessary tokens by trimming whitespace, using concise prompts, and limiting output length. Even a 20% reduction in tokens = 20% cost savings.
Quick Wins
- • Remove extra whitespace and formatting from prompts
- • Set max_tokens to limit output length
- • Use structured output (JSON) instead of verbose text
- • Compress repeated instructions into system prompts
Use cheaper models for simple tasks and expensive models only for complex reasoning. For example, use GPT-4o Mini for classification and GPT-4o for analysis.
Example: Hybrid Routing
Track Price Changes
LLM pricing changes frequently. Our tool automatically updates pricing daily from Helicone's API and tracks historical changes. You'll be notified when prices drop significantly (>10%) so you can switch providers and save money.
Daily Price Updates
Pricing data refreshes automatically at 3 AM UTC from Helicone's free API
Price Drop Alerts
Get notified when models you use drop in price by more than 10%
Historical Trends
View pricing history to identify patterns and plan for future costs