o4 Mini Deep Research Pricing
ReasoningOpenAI · 200K tokens context
o4 Mini Deep Research from OpenAI costs $2.00 per 1 million input tokens and $8.00 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 200,000-token context window (approximately 150,000 words) with a 100K-token maximum output. A typical 1,000-token request costs $0.0020 in input charges; a 10,000-token request costs $0.0200.
| Input price | $2.00 / 1M tokens |
|---|---|
| Output price | $8.00 / 1M tokens |
| Output / input ratio | 4.0× |
| Context window | 200,000 tokens (~150,000 words) |
| Maximum output | 100,000 tokens |
| Cost per 1K tokens (input) | $0.0020 |
| Tier | Reasoning |
| Last verified |
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.
Input Price
$2.00
per 1 million tokens
Output Price
$8.00
per 1 million tokens
Context Window
200K tokens
max 100K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00267 | $0.0032 |
| 10-page document (2,500 words) | 3,333 | $0.00667 | $0.008 |
| 1,000 lines of code | 5,000 | $0.01 | $0.012 |
| 100K token document | 100,000 | $0.20 | $0.24 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Large 200K-token context window
- ✓Step-by-step chain-of-thought reasoning
- ✓Multimodal: understands images as well as text
Limitations
- –Higher latency; reasoning tokens add to output cost
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate o4 Mini Deep Research Costs
Use the TokenRate calculator to convert any budget, token count, or text into exact o4 Mini Deep Research costs — and compare across all models.
Open Calculator →o4 Mini Deep Research — FAQ
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