Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codex Mini
o1 Pro
Cost Differences
o1 Pro costs more than Codex Mini
Feature Comparison
| Feature | Codex Mini | o1 Pro |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.50/1M tokens | $150.00/1M tokens |
| Output Price | $6.00/1M tokens | $600.00/1M tokens |
| Context Window | 200,000 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 100,000 tokens |
| Category | efficient | flagship |
| Capabilities | textcodereasoning | textvisioncodereasoning |
| Release Date | 2/2/2026 | 12/17/2024 |
Codex Mini vs o1 Pro: Which Should You Choose?
Choosing between Codex Mini and o1 Pro depends on your priorities: cost efficiency, context length, or raw capability. Codex Mini is the more affordable option at $1.50/1M input tokens — 99% cheaper than o1 Pro.
These models target different tiers: Codex Mini is a efficient model while o1 Pro is flagship. This means they're optimized for different workloads. o1 Pro targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.
Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $600.00 for o1 Pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codex Mini has the edge here at $6.00/1M output tokens.
Multimodal capabilities: o1 Pro supports vision (image inputs) while Codex Mini is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Codex Mini when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose o1 Pro when:
- • You need more capabilities (vision)
- • You need longer outputs (up to 100,000 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codex Mini (OpenAI)
o1 Pro (OpenAI)
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