Everyone asks "which AI API is cheaper?" The answer depends on your usage pattern. Here's a real cost breakdown based on production workloads.
Pricing at a Glance (April 2026)
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| GPT-4o | $2.50 | $10.00 |
| Claude Sonnet 3.7 | $3.00 | $15.00 |
| Gemini 1.5 Pro | $1.25 | $5.00 |
| GPT-4o-mini | $0.15 | $0.60 |
| Claude Haiku 3.5 | $0.80 | $4.00 |
Real-World Scenario: Support Bot (10k messages/day)
import requests
# Calculate cost for a typical support message
resp = requests.get("https://api.lazy-mac.com/ai-spend/calculate", params={
"model": "gpt-4o",
"input_tokens": 500, # system prompt + user message
"output_tokens": 200 # typical reply
})
cost = resp.json()
# {"total_cost": 0.003250, "monthly_estimate": 97.50}
At 10k messages/day: GPT-4o costs $97.50/month. Switching routing logic to use GPT-4o-mini for simple queries drops this to $12/month.
The Routing Rule That Changed Everything
function selectModel(message) {
const isComplex = message.includes('analyze') ||
message.length > 500 ||
message.includes('compare');
return isComplex ? 'gpt-4o' : 'gpt-4o-mini';
}
This single function cut our AI spend by 60%.
Winner by Use Case
- Code generation: Claude Sonnet (better context retention)
- Summarization: Gemini 1.5 Pro (cheapest for long docs)
- Customer support: GPT-4o-mini (fast + cheap for simple replies)
- Complex reasoning: GPT-4o or Claude (both competitive)
Track your actual spend in real time: AI Cost Calculator | Full API store
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