Capabilities
7-day heat trend
−9.3%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 73% of tracked models
- Efficiency rank: #567 of 1105
Best suited for
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
About phi-4-mini-flash-reasoning
Microsoft Phi 4 Mini Flash Reasoning uses a hybrid architecture for lower-latency math reasoning under constrained compute.
phi-4-mini-flash-reasoning is a Reasoning model from Microsoft (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 66K-token context window, ~160 tokens/sec throughput and 99.7% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare phi-4-mini-flash-reasoning
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Frequently asked questions
How much does phi-4-mini-flash-reasoning cost per 1M tokens?+
phi-4-mini-flash-reasoning is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is phi-4-mini-flash-reasoning best for?+
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
How fast is phi-4-mini-flash-reasoning?+
phi-4-mini-flash-reasoning delivers about 160 tokens/sec with 99.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is phi-4-mini-flash-reasoning cheaper than other AI models?+
Within the HotON.ai tracked set, phi-4-mini-flash-reasoning is cheaper than 43% of models on input price and ranks #567 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.