AI Token Cost Calculator — How Much Are You Spending?
Calculate your AI token costs and learn how to cut your bill by 95%.
Understanding AI Token Pricing
Every time you send a prompt to Claude, GPT-4, or Gemini, you pay for tokens. A token is roughly 4 characters of text. A typical coding prompt uses 500-5,000 tokens. But with context (files, history, architecture explanations), it can easily reach 20,000+ tokens per prompt.
Current AI API Pricing (May 2026)
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| Claude 3.5 Sonnet | $3.00 | $15.00 |
| Claude 3.5 Haiku | $0.80 | $4.00 |
| GPT-4o | $2.50 | $10.00 |
| GPT-4o mini | $0.15 | $0.60 |
| Gemini 1.5 Pro | $1.25 | $5.00 |
| Gemini 1.5 Flash | $0.075 | $0.30 |
Calculate Your Daily Cost
Here's a typical developer's daily AI usage:
| Metric | Without Memory | With Memory |
|---|---|---|
| Prompts per day | 50 | 50 |
| Avg input tokens/prompt | 4,200 | 183 |
| Daily input tokens | 210,000 | 9,150 |
| Daily cost (Claude Sonnet) | $0.63 | $0.027 |
| Monthly cost (22 working days) | $13.86 | $0.60 |
| Annual cost | $166.32 | $7.16 |
Savings: $159.16 per developer per year— and that's just for input tokens. Output tokens add more.
Team Cost Analysis
| Team Size | Annual Cost (No Memory) | Annual Cost (With Memory) | Savings |
|---|---|---|---|
| 1 developer | $166 | $7 | $159 |
| 5 developers | $832 | $36 | $796 |
| 10 developers | $1,663 | $72 | $1,591 |
| 50 developers | $8,316 | $358 | $7,958 |
How to Reduce Your AI Token Costs
1. Use a memory engine
The biggest savings come from eliminating redundant context. A memory engine like Eidos Memory reduces input tokens by 95-98%.
2. Choose the right model
Don't use Claude Sonnet for simple questions. Use Haiku or GPT-4o mini for quick tasks. Save Sonnet for complex reasoning.
3. Be specific in prompts
Vague prompts waste tokens. "Fix the bug" forces the AI to search. "Fix the null check in auth.ts:validateUser()" gets straight to the answer.
4. Use caching
Some providers offer prompt caching. If you send similar context repeatedly, cached tokens are cheaper.
The Bottom Line
AI coding tools are powerful but expensive. A memory engine is the single biggest cost optimization you can make — 95% reduction in token usage, same answer quality. The ROI is immediate and scales with your team.
Try Eidos Memory
Save 95% tokens on every AI prompt. Free and open source.