o1 vs o4-mini Deep Research
Compare OpenAI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
o1
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs less than o1
Feature Comparison
| Feature | o1 | o4-mini Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $15.00/1M tokens | $2.00/1M tokens |
| Output Price | $60.00/1M tokens | $8.00/1M tokens |
| Context Window | 200,000 tokens | 200,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | reasoning | reasoning |
| Capabilities | textreasoning | textreasoningcode |
| Release Date | 9/12/2024 | 6/26/2025 |
o1 vs o4-mini Deep Research: Which Should You Choose?
Choosing between o1 and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. o4-mini Deep Research is the more affordable option at $2.00/1M input tokens — 87% cheaper than o1.
Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: o4-mini Deep Research would save you roughly $11,700.00/month compared to o1. For startups and indie developers, that difference can be significant.
Output costs matter too. o1 charges $60.00/1M output tokens vs $8.00 for o4-mini Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o4-mini Deep Research has the edge here at $8.00/1M output tokens.
Best Use Cases
Choose o1 when:
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
Choose o4-mini Deep Research when:
- • Budget is a primary concern
- • You need more capabilities (code)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
o1 (OpenAI)
o4-mini Deep Research (OpenAI)
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