Capabilities
7-day heat trend
−12.0%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 27% of tracked models
- Efficiency rank: #756 of 1105
Best suited for
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
About o4-mini-high
OpenAI o4-mini-high is the same model as o4-mini with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
o4-mini-high 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, ~136 tokens/sec throughput and 96.2% availability. Its composite efficiency score is 88/100 at an estimated $0.004 per successful task.
Compare o4-mini-high
Related market news
Frequently asked questions
How much does o4-mini-high cost per 1M tokens?+
o4-mini-high 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 o4-mini-high best for?+
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
How fast is o4-mini-high?+
o4-mini-high delivers about 136 tokens/sec with 96.2% tracked availability, suitable for latency-sensitive, real-time applications.
Is o4-mini-high cheaper than other AI models?+
Within the HotON.ai tracked set, o4-mini-high is cheaper than 12% of models on input price and ranks #756 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.