OpenAI: o4 Mini Deep Research
● Excellent8.4
/ 10
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Specifications
| Attribute | Value |
|---|---|
| Lab | OpenAI |
| Tags | Reasoning Fast |
| Overall Score | 8.4/10 |
| Release Date | 2025-10 |
| Context Window | 200,000 tokens |
| Input Price / 1M | $2.00 |
| Output Price / 1M | $8.00 |
| Input Modalities | File, Image, Text |
| Output Modalities | Text |
Strengths
- Cost-effective deep research capability
- Faster than o3 Deep Research
- Strong structured output quality
- Good multi-step reasoning
Weaknesses
- Less thorough than o3 on complex topics
- Still slower than standard chat models
- Narrower knowledge synthesis
Best For
- Budget-conscious deep research
- Mid-complexity investigations
- Quick research reports
Sources & Further Reading
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Scores are aggregated from public benchmarks (MMLU, HumanEval, MATH, GSM8K, LMSYS) and normalized to a 1–10 scale. Methodology →