o1-mini vs o1 Pro
o1-mini vs o1 Pro: o1-mini is cheaper for input-heavy usage ($1.10/M vs $150.00/M input tokens), while o1 Pro is better for long-context tasks (200,000 tokens).
Direct answer: choose o1-mini for lower token spend and choose o1 Pro 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)
o1-mini
o1 Pro
Cost Differences
o1 Pro costs more than o1-mini
Quick Recommendation
Winner for direct API pricing: o1-mini. At the default workload, o1-mini saves about $1,340.10/month ($16,304.55/year) versus o1 Pro.
Feature Comparison
| Feature | o1-mini | o1 Pro |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.10/1M tokens | $150.00/1M tokens |
| Output Price | $4.40/1M tokens | $600.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 65,536 tokens | 100,000 tokens |
| Category | reasoning | flagship |
| Capabilities | textreasoning | textvisioncodereasoning |
| Release Date | 9/12/2024 | 12/17/2024 |
o1-mini vs o1 Pro: Which Should You Choose?
Choosing between o1-mini and o1 Pro depends on your priorities: cost efficiency, context length, or raw capability. o1-mini is the more affordable option at $1.10/1M input tokens — 99% cheaper than o1 Pro. Meanwhile, o1 Pro offers a significantly larger context window at 200,000 tokens vs 128,000 for o1-mini.
These models target different tiers: o1-mini is a reasoning model while o1 Pro is flagship. This means they're optimized for different workloads. o1-mini is built for complex tasks that require deeper reasoning, while o1 Pro offers better value for routine operations.
Output costs matter too. o1-mini charges $4.40/1M output tokens vs $600.00 for o1 Pro. 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.
Multimodal capabilities: o1 Pro supports vision (image inputs) while o1-mini is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose o1-mini when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
Choose o1 Pro when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (vision, code)
- • You need longer outputs (up to 100,000 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
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 o1 Pro
o1 Pro
- • Input pricing: $150.00/M tokens
- • Output pricing: $600.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 100,000 tokens
Watch out for
- • Higher input cost than o1-mini
- • Higher output cost than o1-mini
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
o1-mini (OpenAI)
o1 Pro (OpenAI)
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