Plan AI API Costs for Your Team
Model your engineering team's usage across 48 models and 10 providers. Generate a budget report you can share with finance.
Team Members
| Developer | Model | Monthly Cost | Cheaper Alternative | Potential Savings |
|---|
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Frequently Asked Questions
How do I estimate AI API costs for my engineering team?
Add each team member to the planner, select their primary AI model (e.g., GPT-4o, Claude Sonnet), set their daily request volume, and average token usage. The tool calculates each developer's monthly cost and the team total across all 48 models.
How much does a typical engineering team spend on AI APIs per month?
A 5-developer team using mid-tier models like GPT-4o typically spends $500–$2,000/month. Teams using premium models like Claude Opus 4.8 or GPT-5.5 can spend $3,000–$10,000+/month. Switching to budget models like DeepSeek V4 Flash can reduce costs by 60–90%.
Can I generate a budget report to share with finance?
Yes. After calculating your team's costs, click "Get APIpulse Pro" to export a professional PDF report with per-developer breakdowns, cheaper alternatives, migration code, and provider comparisons — ready for finance review.
What's the cheapest way to provide AI APIs to a large team?
Use tiered model routing: route simple tasks to budget models like DeepSeek V4 Flash ($0.07/$0.28 per 1M tokens) and reserve premium models for complex work. This hybrid approach can cut team costs by 50–70% without quality loss.
Which AI model should my team use for daily development work?
For most development teams, Claude Sonnet 4.6 ($3/$15 per 1M tokens) or GPT-4o ($2.50/$10) offer the best balance of quality and cost. For high-volume teams, GPT-5 mini ($0.40/$1.60) or DeepSeek V4 Flash ($0.07/$0.28) provide significant savings.