Live pricing snapshot
Input / 1K
$0.0002
Prompt tokens
Output / 1K
$0.0006
Completion tokens
Input / 1M
$0.1500
Large-volume planning
Catalog models
144
Current pricing catalog size
gpt-4o mini pricing
GPT-4o Mini Pricing (OpenAI)
GPT-4o Mini pricing shifts can silently increase monthly spend. This page gives a stable baseline for planning and routing decisions.
Use this pricing view to align engineering and finance on one cost baseline for GPT-4o Mini.
Proof from the product
Real UI snapshot from AI Cost Board used in production workflows.
Live pricing and comparison workflow for model selection decisions.
When to choose GPT-4o Mini
- • Use GPT-4o 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 pricing 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.
Last updated: Mar 5, 2026, 04:00 AM
| Provider | Model | Input $/1M | Output $/1M | Action |
|---|---|---|---|---|
| OpenAI | gpt-4o-mini | $0.1500 | $0.6000 | Open calculator |
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If you want ongoing tracking by project/provider, continue in the dashboard.
Frequently asked questions
How is GPT-4o Mini pricing calculated?
Normalize with the same prompt/output profile for every model. This page uses live input/output rates for OpenAI and converts them into per-1K and per-1M views.
Can I use this GPT-4o 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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