Text model
Phi-4-mini-instruct pricing
Azure AI Foundry charges $0.075 per million input tokens and $0.30 per million output tokens for Phi-4-mini-instruct. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.075/ 1M
- Output
- $0.30/ 1M
- Context
- 131.1Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.075 | $0.30 | — | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.000233 | 100,000 | $23.25 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.0006 | 100,000 | $60.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00114 | 250,000 | $285.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with Phi-4-mini-instruct, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| azure-ai/FW-Nemotron-Lightning-3.5-30B-A3B | $0.000178 | 23% |
| deepinfra/mistralai/Mistral-Small-3.2-24B-Instruct-2506 | $0.000192 | 17% |
| deepinfra/deepseek-ai/DeepSeek-V4-Flash-0731 | $0.000192 | 17% |
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: Azure AI Foundry pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.