OpenAI o3-mini API Token Cost Calculator
Simulate developer infrastructure costs for ultra-fast, affordable reasoning on OpenAI o3-mini ($1.10 / $4.40 per 1M).
Parameters & Config
Pre-configured official API pricing for this specific model tier
Prompt payload size including system prompt, user prompt, and chat history
Generated output tokens returned by the model
Total API requests processed per day across all users
Cost per 1,000,000 incoming prompt tokens
Cost per 1,000,000 generated completion tokens
Estimated 30-day cloud billing based on current traffic and model selection
Average daily API infrastructure expenditure incurred
Key Metrics & Sub-Totals
3 itemsCalculation Summary & Unit Breakdown
| Metric | Calculated Value | Notes / Logic |
|---|---|---|
| Active Model Configuration | o3-mini (High-Speed Reasoning • $1.10 / $4.40) | - |
| Daily Request Volume | 5,000 | queries/day |
| Tokens per Request | 2,300 | Prompt: 1,500 / Output: 800 |
| Daily Token Burn | 11,500,000 | tokens/day |
| Monthly Total Tokens | 345,000,000 | 30-day projection |
| Daily Average Infrastructure Cost | $25.85 | USD |
| Monthly Prompt (Input) Token Cost | $247.50 | USD |
| Monthly Completion (Output) Token Cost | $528.00 | USD |
| Total Projected Monthly Cloud Bill | $775.50 | USD |
Overview & Methodology
OpenAI o3-mini combines rapid inference speeds with powerful reasoning capabilities at a fraction of frontier cost: $1.10 per 1M input tokens and $4.40 per 1M output tokens, delivering elite price-to-performance for coding agents.
Mathematical Formulation
Single Cost = (Input / 1M × $1.10) + (Output / 1M × $4.40). Monthly = Single Cost × Daily Requests × 30.Optimization Best Practices
Set reasoning effort parameter ("low", "medium", "high") to control latency and token consumption per request.
Ideal for interactive coding IDE extensions, terminal assistants, and conversational agents requiring reasoning checks.
Combine with prompt caching on repeated system instructions to reduce input token cost down to $0.55/1M.
Frequently Asked Questions
Q.How does o3-mini compare to o1-mini in price?
o3-mini ($1.10/$4.40) is over 60% cheaper than o1-mini ($3.00/$12.00) while delivering higher reasoning accuracy.
Q.What is the reasoning effort configuration on o3-mini?
Developers can specify "low", "medium", or "high" effort to instruct the model on how many internal thinking tokens to generate.
Q.How much does 10,000 requests cost on o3-mini?
At 1.5k input and 800 output tokens, 10,000 requests consume 15M input ($16.50) and 8M output ($35.20), totaling $51.70.