Live pricing snapshot
Input / 1K
$0.0011
Prompt tokens
Output / 1K
$0.0044
Completion tokens
Input / 1M
$1.1000
Large-volume planning
Catalog models
144
Current pricing catalog size
o3-mini cost
o3-mini Cost Calculator (OpenAI)
o3-mini request volume can scale faster than expected. Use this calculator page to estimate spend before overruns.
Run scenario planning for o3-mini before traffic spikes hit your budget.
Proof from the product
Real UI snapshot from AI Cost Board used in production workflows.
Provider-level drilldown for spend and token economics.
When to choose o3-mini
- • Use o3-mini when the quality profile fits your production workload and cost per request stays inside target margin.
- • Benchmark with the same prompt mix you plan to run in production rather than generic sample prompts.
- • Track provider-level latency, retries, and errors with cost to validate real routing performance.
Common cost drivers to monitor
- • Retries and fallback loops can multiply spend even when token pricing looks cheap.
- • Prompt/context growth silently increases input token cost over time.
- • Latency regressions often correlate with retries and timeout-driven duplicate requests.
Recommended next steps
- • Use this cost baseline to align engineering and finance assumptions.
- • Track actual request logs and provider analytics after launch.
- • Add budget alerts and anomaly detection for the owning project/workspace.
Estimated mode. Input capped at 100,000 chars.
0
Pricing updated: Mar 5, 2026, 04:00 AM
Input Cost
$0.0000
Output Cost
$0.000282
Total Cost
$0.000282
Price basis: 110 cents / 1M input tokens and 440 cents / 1M output tokens.
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If you want ongoing tracking by project/provider, continue in the dashboard.
Frequently asked questions
How is o3-mini cost calculated?
Start with one production workflow and then scale assumptions. This page uses live input/output rates for OpenAI and converts them into per-1K and per-1M views.
Can I use this o3-mini page for production budgeting?
Yes. Use the embedded calculator or pricing table first, then multiply by expected request volume and retry behavior.
What should I monitor besides token rates?
Track retries, latency, and error rate. Production spend is pricing multiplied by operational behavior.
How do I turn this into continuous tracking?
Use AI Cost Board to monitor cost per team, project, model, and provider with budget alerts and anomaly detection.
Related pages
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