# DeepSeek V4p1 Flash Us API Pricing

As of October 10, 2026, DeepSeek V4p1 Flash Us costs $0.45 per 1M input tokens and $1.80 per 1M output tokens on Fireworks AI, with cache reads at $0.009 per 1M tokens. It has a 1,048,576-token context window and returns up to 393,216 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-v4p1-flash-us
- Lab: DeepSeek
- LiteLLM model name: `fireworks_ai/deepseek-v4p1-flash-us`
- Context window: 1,048,576 tokens
- Max output: 393,216 tokens
- Added to LiteLLM: September 25, 2026
- 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 |
|---|---|---|---|---|---|---|---|
| Fireworks AI | `fireworks_ai/deepseek-v4p1-flash-us` | $0.45 | $1.80 | $0.009 | – | – | 1M |
| Fireworks AI | `fireworks_ai/accounts/fireworks/routers/deepseek-v4p1-flash-us` | $0.45 | $1.80 | $0.009 | – | – | 1M |

## Cost examples

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

- Fireworks AI: $1.80

100 long-document requests with 100,000 input and 2,000 output tokens each:

- Fireworks AI: $4.86

## Features

Supported: Function calling, Structured output, Image input, Reasoning, Prompt caching.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="fireworks_ai/deepseek-v4p1-flash-us",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does DeepSeek V4p1 Flash Us cost?

DeepSeek V4p1 Flash Us costs $0.45 per 1M input tokens and $1.80 per 1M output tokens on Fireworks AI, with cache reads at $0.009 per 1M tokens.

### What is the context window of DeepSeek V4p1 Flash Us?

DeepSeek V4p1 Flash Us has a 1,048,576-token context window and returns up to 393,216 tokens per response.

### Which providers offer DeepSeek V4p1 Flash Us?

DeepSeek V4p1 Flash Us is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/deepseek-v4p1-flash-us.

### How do I call DeepSeek V4p1 Flash Us with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/deepseek-v4p1-flash-us", 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 DeepSeek V4p1 Flash Us support?

DeepSeek V4p1 Flash Us supports function calling, structured output, image input, reasoning and prompt caching.

### When did LiteLLM add DeepSeek V4p1 Flash Us?

DeepSeek V4p1 Flash Us was added to LiteLLM's model price file on September 25, 2026.

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