Codex Mini vs o1-mini
Codex Mini vs o1-mini: o1-mini is cheaper for input-heavy usage ($1.10/M vs $1.50/M input tokens), while Codex Mini is better for long-context tasks (200,000 tokens).
Direct answer: choose o1-mini for lower token spend and choose Codex Mini when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codex Mini
o1-mini
Cost Differences
o1-mini costs less than Codex Mini
Quick Recommendation
Winner for direct API pricing: o1-mini. At the default workload, o1-mini saves about $3.60/month ($43.80/year) versus Codex Mini.
Feature Comparison
| Feature | Codex Mini | o1-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.50/1M tokens | $1.10/1M tokens |
| Output Price | $6.00/1M tokens | $4.40/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 65,536 tokens |
| Category | efficient | reasoning |
| Capabilities | textcodereasoning | textreasoning |
| Release Date | 2/2/2026 | 9/12/2024 |
Codex Mini vs o1-mini: Which Should You Choose?
Choosing between Codex Mini and o1-mini depends on your priorities: cost efficiency, context length, or raw capability. o1-mini is the more affordable option at $1.10/1M input tokens — 27% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 128,000 for o1-mini.
These models target different tiers: Codex Mini is a efficient model while o1-mini is reasoning. This means they're optimized for different workloads. o1-mini 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 $4.40 for o1-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o1-mini has the edge here at $4.40/1M output tokens.
Best Use Cases
Choose Codex Mini when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (code)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose o1-mini when:
- • Budget is a primary concern
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Codex Mini
- • Input pricing: $1.50/M tokens
- • Output pricing: $6.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than o1-mini
- • Higher output cost than o1-mini
o1-mini
- • Input pricing: $1.10/M tokens
- • Output pricing: $4.40/M tokens
- • Context window: 128,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Smaller context window than Codex Mini
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codex Mini (OpenAI)
o1-mini (OpenAI)
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