Capabilities
7-day heat trend
−30.4%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 12% of tracked models
- Faster than 30% of tracked models
- Efficiency rank: #716 of 1105
Best suited for
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
About o3-mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set...
o3-mini is a Reasoning model from OpenAI (US). HotON.ai tracks it at $1.10 per 1M input tokens and $4.40 per 1M output tokens, with a 200K-token context window, ~138 tokens/sec throughput and 98.0% availability. Its composite efficiency score is 88/100 at an estimated $0.004 per successful task.
Compare o3-mini
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Frequently asked questions
How much does o3-mini cost per 1M tokens?+
o3-mini is tracked at $1.10 per 1M input tokens and $4.40 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $3.58 per 1M tokens. Figures are illustrative demo data.
What is o3-mini best for?+
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
How fast is o3-mini?+
o3-mini delivers about 138 tokens/sec with 98.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is o3-mini cheaper than other AI models?+
Within the HotON.ai tracked set, o3-mini is cheaper than 12% of models on input price and ranks #716 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.