OpenAI: o4 Mini Deep Research
Analysis Summary
OpenAI: o4 Mini Deep Research sits in the Specialist tier on our leaderboard, ranked #71 of 525 published models on overall intelligence. At $2.00 input and $8.00 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning.
Editorial notes
OpenAI's o4 Mini Deep Research delivers strong maths and research-oriented performance at a more accessible price point than its larger sibling, with vision and tool use included. Coding capability is more limited, but for research summarisation and structured content tasks it offers solid value from a trusted provider.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
o4-mini-deep-research is OpenAI's faster, more affordable deep research modelāideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: o4 Mini Deep Research stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
openai/o4-mini-deep-research
|
| Provider | openai |
| Release Date | October 10, 2025 |
| Context Length | 200,000 tokens |
| Max Completion | 100,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $8.00 | $0.008000 |
