Context Window
200,000
Tokens
Model Cost Profile
OpenAI: o4 Mini Deep Research
Developer: openai
Pricing updated Mar 16, 2026
Input rank: #290Output rank: #281
OpenAI's o4 Mini Deep Research model is designed for extensive data analysis, allowing users to process up to 200,000 tokens in a single request, making it ideal for large-scale research projects and in-depth content generation. With an input cost of $2.00 per million tokens and an output cost of $8.00 per million tokens, teams can effectively budget for high-volume tasks while leveraging advanced AI capabilities. This model is particularly beneficial for organizations that require comprehensive insights from vast datasets, enabling informed decision-making and enhanced productivity.
👁 Vision🔧 Tool Calling🔌 MCP Compatible📋 Structured Output🧠 Reasoning
Input Price / 1M
$2.00
Prompt tokens
Output Price / 1M
$8.00
Completion tokens
Top Benchmark
Pending
No benchmark data yet
Quality & Benchmarks
Evaluation scores for OpenAI: o4 Mini Deep Research. The “Top Benchmark” shown above is the highest-priority score available (MMLU > GPQA > MATH > HumanEval).
🔧
Tool Calling Supported🔌 MCP Compatible
Price History
OpenAI: o4 Mini Deep Research Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 16
Current Input / 1M
$2.00
Current Output / 1M
$8.00
Performance History
OpenAI: o4 Mini Deep Research Speed Trend
Not enough data yet. Performance tracking started recently — check back in a few days.
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $2.00 |
| Output (Completion) | $8.00 |
| Cache Read | $0.5000 |
Cost Calculator
Estimate monthly spend for OpenAI: o4 Mini Deep Research based on your workload.
01.0B
0500M
Estimated Monthly Cost
$146
25M input + 12M output tokens
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