Capabilities
7-day heat trend
−25.5%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 1% of tracked models
- Faster than 58% of tracked models
- Efficiency rank: #1094 of 1105
Best suited for
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
About o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
o1 is a Reasoning model from OpenAI (US). HotON.ai tracks it at $15.00 per 1M input tokens and $60.00 per 1M output tokens, with a 200K-token context window, ~152 tokens/sec throughput and 96.5% availability. Its composite efficiency score is 76/100 at an estimated $0.060 per successful task.
Related market news
Frequently asked questions
How much does o1 cost per 1M tokens?+
o1 is tracked at $15.00 per 1M input tokens and $60.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $48.75 per 1M tokens. Figures are illustrative demo data.
What is o1 best for?+
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
How fast is o1?+
o1 delivers about 152 tokens/sec with 96.5% tracked availability, suitable for latency-sensitive, real-time applications.
Is o1 cheaper than other AI models?+
Within the HotON.ai tracked set, o1 is cheaper than 1% of models on input price and ranks #1094 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.