Codex Mini
Pricing & Specs
OpenAI · $1.5 input / $6 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 Codex Mini costs about $0.0045 — roughly $4.50 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.
Codex Mini API Pricing
| Tokens | Price |
|---|---|
| Input | $1.5 / 1M tokens |
| Output | $6 / 1M tokens |
| Cached input | $0.375 / 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
Codex Mini Specs
| Spec | Value |
|---|---|
| Context window | 200K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Latency (measured by OpenMark) | ~1.7s median response |
| Reasoning model | No |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
Capabilities
FAQ
How much does Codex Mini cost?
Codex Mini costs $1.5 per 1M input tokens and $6 per 1M output tokens ($0.375 per 1M cached input tokens).
What is Codex Mini's context window?
Codex Mini has a 200K-token context window.
Can I test Codex Mini on my own task?
Yes. OpenMark lets you benchmark Codex Mini against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is Codex 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.