Text model
Phi-4 pricing
Azure AI Foundry charges $0.125 per million input tokens and $0.50 per million output tokens for Phi-4. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.125/ 1M
- Output
- $0.50/ 1M
- Context
- 16.4Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.125 | $0.50 | — | — |
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 | $0.000387 | 100,000 | $38.75 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.001 | 100,000 | $100.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.0019 | 250,000 | $475.00 |
| 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, 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/Phi-4-multimodal-instruct | $0.000248 | 36% |
| azure-ai/Phi-4-mini-instruct | $0.000233 | 40% |
| databricks/databricks-deepseek-v4-flash-0731 | $0.000322 | 17% |
| deepseek/deepseek-coder | $0.000322 | 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.