DeepSeek V4.1 Flash F2 API Pricing
- Input / output
- $0.30 / $1.20 per 1M tokens
- Cache read
- $0.006 / 1M
- Context
- 1M tokens
- Max output
- 64K tokens
As of November 7, 2026, DeepSeek V4.1 Flash F2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on Wally, with cache reads at $0.006 per 1M tokens. It has a 1,048,576-token context window and returns up to 65,536 tokens per response.
DeepSeek V4.1 Flash F2 pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Wally | wally/deepseek-v4.1-flash-f2 | $0.30 | $1.20 | $0.006 | 1M |
What DeepSeek V4.1 Flash F2 costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Wally | $1.20 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Wally | $3.24 |
DeepSeek V4.1 Flash F2 cost calculator
At Wally's price ($0.30 input, $1.20 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $9.00 a day, about $270 a month. Change the numbers for your workload, or compare it with other models.
- Per request
- $0.0009
- Per day
- $9.00
- Per month (30 days)
- $270
DeepSeek V4.1 Flash F2 features
Input: text, image. Output: text.
- Function calling
- Structured output
- Image input
- Reasoning
- Prompt caching
Use DeepSeek V4.1 Flash F2 with LiteLLM
Call DeepSeek V4.1 Flash F2 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="wally/deepseek-v4.1-flash-f2",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: deepseek-v4.1-flash-f2
litellm_params:
model: wally/deepseek-v4.1-flash-f2
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-d '{
"model": "deepseek-v4.1-flash-f2",
"messages": [{"role": "user", "content": "Hello!"}]
}'DeepSeek V4.1 Flash F2 FAQ
How much does DeepSeek V4.1 Flash F2 cost?
DeepSeek V4.1 Flash F2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens on Wally, with cache reads at $0.006 per 1M tokens.
What is the context window of DeepSeek V4.1 Flash F2?
DeepSeek V4.1 Flash F2 has a 1,048,576-token context window and returns up to 65,536 tokens per response.
Which providers offer DeepSeek V4.1 Flash F2?
DeepSeek V4.1 Flash F2 is available from Wally through LiteLLM, using the model name wally/deepseek-v4.1-flash-f2.
How do I call DeepSeek V4.1 Flash F2 with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="wally/deepseek-v4.1-flash-f2", 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 F2 support?
DeepSeek V4.1 Flash F2 supports function calling, image input, reasoning and prompt caching. It does not support structured output.
When did LiteLLM add DeepSeek V4.1 Flash F2?
DeepSeek V4.1 Flash F2 was added to LiteLLM's model price file on November 4, 2026.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Maintainers update it from each provider's published pricing, and this page is usually rebuilt within 20 minutes of every change. Provider pricing pages:
LiteLLM docs: Wally.
Provider pages: Wally.