# DeepSeek V4.1 Flash 260910 API Pricing

As of October 31, 2026, DeepSeek V4.1 Flash 260910 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on StreamLake, with cache reads at $0.006 per 1M tokens. It has a 1,048,568-token context window and returns up to 384,000 tokens per response.

- Page: https://models.litellm.ai/models/deepseek-v4.1-flash-260910
- Lab: DeepSeek
- LiteLLM model name: `streamlake/deepseek-v4.1-flash-260910`
- Context window: 1,048,568 tokens
- Max output: 384,000 tokens
- Added to LiteLLM: October 30, 2026
- Prices updated: October 30, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| StreamLake | `streamlake/deepseek-v4.1-flash-260910` | $0.30 | $1.20 | $0.006 | – | – | 1M |

## Cost examples

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

- StreamLake: $1.20

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

- StreamLake: $3.24

## Features

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

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="streamlake/deepseek-v4.1-flash-260910",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## Cost calculator

10,000 requests a day with 1,000 input and 500 output tokens each, at StreamLake's price: $0.0009 per request, $9.00 per day, $270 per month (30 days). Try other numbers at https://models.litellm.ai/calculator?model=deepseek-v4.1-flash-260910

## FAQ

### How much does DeepSeek V4.1 Flash 260910 cost?

DeepSeek V4.1 Flash 260910 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on StreamLake, with cache reads at $0.006 per 1M tokens.

### What is the context window of DeepSeek V4.1 Flash 260910?

DeepSeek V4.1 Flash 260910 has a 1,048,568-token context window and returns up to 384,000 tokens per response.

### Which providers offer DeepSeek V4.1 Flash 260910?

DeepSeek V4.1 Flash 260910 is available from StreamLake through LiteLLM, using the model name streamlake/deepseek-v4.1-flash-260910.

### How do I call DeepSeek V4.1 Flash 260910 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="streamlake/deepseek-v4.1-flash-260910", 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 V4.1 Flash 260910 support?

DeepSeek V4.1 Flash 260910 supports function calling, image input, reasoning and prompt caching.

### When did LiteLLM add DeepSeek V4.1 Flash 260910?

DeepSeek V4.1 Flash 260910 was added to LiteLLM's model price file on October 30, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change.