Estimate AI API costs across leading models
Price shown: input / output per 1M tokens
Inputs
Result
Cost per request = (800 × $3.00 + 400 × $15.00) / 1,000,000 = $0.0084. Daily = $0.0084 × 500 = $4.20. Monthly = $4.20 × 30 = $126.00.
Inputs
Result
Cost per request = (3000 × $0.10 + 2000 × $0.40) / 1,000,000 = $0.0011. Daily = $0.0011 × 1000 = $1.10. Monthly = $1.10 × 30 = $33.00.
AI API costs depend on the model and token usage. GPT-4o costs $2.50 per 1M input tokens and $10 per 1M output tokens. Claude Sonnet costs $3/$15 per 1M tokens. Gemini 2.0 Flash is cheapest at $0.10/$0.40 per 1M tokens.
| Model | Input/1M | Output/1M | 100 req/day (monthly) |
|---|---|---|---|
| GPT-4o | $2.50 | $10.00 | ~$25 |
| Claude Sonnet 4 | $3.00 | $15.00 | ~$33 |
| Gemini 2.0 Flash | $0.10 | $0.40 | ~$1 |
| GPT-4o Mini | $0.15 | $0.60 | ~$1.10 |
Tokens are units of text that AI models process. One token is roughly 4 characters or 0.75 words in English. A 1,000-word article is approximately 1,333 tokens. Input tokens are what you send, output tokens are what the model generates.
Gemini 2.0 Flash is currently the cheapest major AI model at $0.10 per 1M input tokens and $0.40 per 1M output tokens. GPT-4o Mini ($0.15/$0.60) is the cheapest OpenAI option. For most tasks, smaller models provide sufficient quality at 10-100x lower cost.
Reduce AI costs by using smaller models for simple tasks, caching repeated queries, shortening prompts, limiting output length, and batching requests. Using GPT-4o Mini instead of GPT-4o can cut costs by 94% with acceptable quality for many tasks.
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Last Updated: Feb 13, 2026
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