1 million Microsoft Phi-4 (14B) tokens cost $0.10 as input or $0.30 as output. Most workloads land in between — a 70/30 input/output split costs about $0.16. Verified Aug 19, 2026
Interactive calculator
1,000,000 in · 0 out
Input price
$0.10 / 1M tokens
Output price
$0.30 / 1M tokens
Uncached pricing. Add caching and monthly projections in the full calculator.
What 1 million tokens buys in practice
$0.14
80% input / 20% output — short replies over conversation history.
$0.12
90% input / 10% output — long retrieved context, grounded answers.
$0.11
95% input / 5% output — full documents in, structured extraction out.
Same 1 million tokens on other models
Related calculations
FAQ
1 million input tokens cost $0.10; 1 million output tokens cost $0.30. A typical 70/30 input/output mix costs about $0.16. Rates: $0.10/M input, $0.30/M output.
A chat-style request of ~4,800 tokens (4,000 in + 800 out) means 1 million tokens is roughly 208 requests. For a RAG workload with ~8,500 tokens per request, about 118 requests.
Microsoft Phi-4 (14B) has no published cached-input discount on its official pricing page; all input is billed at $0.10/M.