Context Window
200,000
Tokens
Model Cost Profile
Developer: openai
Pricing updated Mar 16, 2026
OpenAI's o3 Deep Research model offers an extensive context window of 200,000 tokens, making it ideal for complex research tasks that require deep understanding and analysis of large datasets. Teams utilizing this API model can expect input costs of $10.00 per 1M tokens and output costs of $40.00 per 1M tokens, which can significantly impact budget planning for projects involving extensive text generation or data processing. This model is particularly beneficial for academic institutions, research organizations, and enterprises that need to synthesize vast amounts of information into coherent insights.
Context Window
200,000
Tokens
Input Price / 1M
$10.00
Prompt tokens
Output Price / 1M
$40.00
Completion tokens
Top Benchmark
Pending
No benchmark data yet
Evaluation scores for OpenAI: o3 Deep Research. The βTop Benchmarkβ shown above is the highest-priority score available (MMLU > GPQA > MATH > HumanEval).
Tool Calling Supportedπ MCP Compatible
Price History
Current Input / 1M
$10.00
Current Output / 1M
$40.00
Performance History
Not enough data yet. Performance tracking started recently β check back in a few days.
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $10.00 |
| Output (Completion) | $40.00 |
| Cache Read | $2.50 |
Estimate monthly spend for OpenAI: o3 Deep Research based on your workload.
Estimated Monthly Cost
$730
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.