# Phi 4 API Pricing

As of October 10, 2026, Phi 4 costs $0.07 per 1M input tokens and $0.14 per 1M output tokens from DeepInfra, the lowest of 2 providers. It has a 16,384-token context window and returns up to 16,384 tokens per response.

- Page: https://models.litellm.ai/models/phi-4
- Lab: Microsoft
- LiteLLM model name: `deepinfra/microsoft/phi-4`
- Context window: 16,384 tokens
- Max output: 16,384 tokens
- Added to LiteLLM: February 2025
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| DeepInfra | `deepinfra/microsoft/phi-4` | $0.07 | $0.14 | – | – | – | 16K |
| Azure AI Foundry | `azure_ai/Phi-4` | $0.125 | $0.50 | – | – | – | 16K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- DeepInfra: $0.21
- Azure AI Foundry: $0.50

## Features

Supported: Function calling.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="deepinfra/microsoft/phi-4",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does Phi 4 cost?

Phi 4 costs $0.07 per 1M input tokens and $0.14 per 1M output tokens from DeepInfra, the lowest of 2 providers.

### What is the context window of Phi 4?

Phi 4 has a 16,384-token context window and returns up to 16,384 tokens per response.

### Which providers offer Phi 4?

Phi 4 is available from 2 providers through LiteLLM: DeepInfra and Azure AI Foundry. The lowest price is on DeepInfra.

### How do I call Phi 4 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepinfra/microsoft/phi-4", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does Phi 4 support?

Phi 4 supports function calling.

### When did LiteLLM add Phi 4?

Phi 4 was added to LiteLLM's model price file in February 2025.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json