LiteLLMModels

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.

By DeepSeekModel ID fireworks_ai/deepseek-v4p1-flash-usPrices updated Checked
Input
$0.45 / 1M tokens
Output
$1.80 / 1M tokens
Cache read
$0.009 / 1M tokens
Context window
1,048,576 tokens
Max output
393,216 tokens
Providers
1
Added to LiteLLM
September 25, 2026

DeepSeek V4p1 Flash Us pricing by provider

2 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputCache readContext
Fireworks AIfireworks_ai/deepseek-v4p1-flash-us$0.45$1.80$0.0091M
Fireworks AIfireworks_ai/accounts/fireworks/routers/deepseek-v4p1-flash-us$0.45$1.80$0.0091M

Other DeepSeek V4p1 Flash Us prices on Fireworks AI

Priority input$0.5625 per 1M tokens
Priority output$2.25 per 1M tokens

What DeepSeek V4p1 Flash Us costs in practice

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

DeepSeek V4p1 Flash Us features

Use DeepSeek V4p1 Flash Us with LiteLLM

Call DeepSeek V4p1 Flash Us 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.

Python SDK
from litellm import completion

response = completion(
    model="fireworks_ai/deepseek-v4p1-flash-us",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: deepseek-v4p1-flash-us
    litellm_params:
      model: fireworks_ai/deepseek-v4p1-flash-us
      api_key: os.environ/FIREWORKS_AI_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "deepseek-v4p1-flash-us",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

DeepSeek V4p1 Flash Us 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.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:

LiteLLM docs: Fireworks AI.

Provider pages: Fireworks AI.