Capabilities
7-day heat trend
−27.5%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 2% of tracked models
- Faster than 95% of tracked models
- Efficiency rank: #1090 of 1105
Best suited for
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
About o3-deep-research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
o3-deep-research is a Reasoning model from OpenAI (US). HotON.ai tracks it at $10.00 per 1M input tokens and $40.00 per 1M output tokens, with a 200K-token context window, ~171 tokens/sec throughput and 100.0% availability. Its composite efficiency score is 76/100 at an estimated $0.040 per successful task.
Compare o3-deep-research
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Frequently asked questions
How much does o3-deep-research cost per 1M tokens?+
o3-deep-research is tracked at $10.00 per 1M input tokens and $40.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $32.50 per 1M tokens. Figures are illustrative demo data.
What is o3-deep-research best for?+
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
How fast is o3-deep-research?+
o3-deep-research delivers about 171 tokens/sec with 100.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is o3-deep-research cheaper than other AI models?+
Within the HotON.ai tracked set, o3-deep-research is cheaper than 2% of models on input price and ranks #1090 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.