OpenAI o3-mini
Pricing & Specs
OpenAI · $1.1 input / $4.4 output per 1M tokens · 200K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on OpenAI o3-mini costs about $0.0033 — roughly $3.30 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
OpenAI o3-mini API Pricing
| Tokens | Price |
|---|---|
| Input | $1.1 / 1M tokens |
| Output | $4.4 / 1M tokens |
| Cached input | $0.55 / 1M tokens |
Cached input tokens are billed when caching is enabled. Batch API pricing is available for this model at 50%.
What that means in practice
OpenAI o3-mini Specs
| Spec | Value |
|---|---|
| Context window | 200K tokens |
| Input modalities | text |
| Output modalities | text |
| Latency (measured by OpenMark) | ~1.7s median response |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
Capabilities
FAQ
How much does OpenAI o3-mini cost?
OpenAI o3-mini costs $1.1 per 1M input tokens and $4.4 per 1M output tokens ($0.55 per 1M cached input tokens).
What is OpenAI o3-mini's context window?
OpenAI o3-mini has a 200K-token context window.
Can I test OpenAI o3-mini on my own task?
Yes. OpenMark lets you benchmark OpenAI o3-mini against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is OpenAI o3-mini the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.