Interactive Cost Calculator
Enter your expected usage below to calculate monthly costs across all major LLM APIs.
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All Models: Monthly Cost Reference Table
Based on 100,000 requests/month with 1,000 input tokens and 500 output tokens per request (100M input + 50M output tokens monthly):
| Model | Input Cost | Output Cost | Total Monthly |
|---|---|---|---|
| Mistral Nemo | $2 | $2 | $4 |
| GPT-4o-mini | $15 | $30 | $45 |
| Gemini 2.5 Flash | $15 | $30 | $45 |
| GPT-5-mini | $25 | $100 | $125 |
| DeepSeek V3 | $28 | $21 | $49 |
| Claude Haiku 3.5 | $80 | $200 | $280 |
| Gemini 2.5 Pro | $125 | $500 | $625 |
| Mistral Large | $200 | $300 | $500 |
| GPT-4o | $250 | $500 | $750 |
| Claude Sonnet 4 | $300 | $750 | $1,050 |
| Claude Opus 4.6 | $500 | $1,250 | $1,750 |
| GPT-5 | $1,000 | $1,500 | $2,500 |
| Token Landing Hybrid | $80 – $150 | $150 – $300 | $230 – $450 |
Prices approximate. Last updated April 2026.
Cost Optimization Tips
Beyond choosing the right model, several strategies can significantly reduce your LLM API spend:
- Prompt caching saves 50-90% on repeated prompt prefixes
- Batch API offers 50% discounts on async workloads
- Prompt optimization reduces token counts without losing quality
- Hybrid routing uses the right model for each request tier