LiteLLMModels

DeepSeek V4p1 Flash 1017 Us API Pricing

By DeepSeek · 1 providerfireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash-1017-usCompare
Input / output
$0.45 / $1.80 per 1M tokens
Cache read
$0.009 / 1M
Context
1M tokens
Max output
384K tokens

As of October 21, 2026, DeepSeek V4p1 Flash 1017 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.

Prices updated Checked

DeepSeek V4p1 Flash 1017 Us 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.

DeepSeek V4p1 Flash 1017 Us prices by provider in US dollars, token prices per 1M tokens, as of October 21, 2026. Source: LiteLLM model price file.
ProviderModel name in LiteLLMInputOutputCache readContext
Fireworks AIfireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash-1017-us$0.45$1.80$0.0091M

Other DeepSeek V4p1 Flash 1017 Us prices on Fireworks AI

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

What DeepSeek V4p1 Flash 1017 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 1017 Us cost calculator

At Fireworks AI's price ($0.45 input, $1.80 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $13.50 a day, about $405 a month. Change the numbers for your workload, or compare it with other models.

Per request
$0.00135
Per day
$13.50
Per month (30 days)
$405

DeepSeek V4p1 Flash 1017 Us features

Use DeepSeek V4p1 Flash 1017 Us with LiteLLM

Call DeepSeek V4p1 Flash 1017 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/accounts/fireworks/models/deepseek-v4p1-flash-1017-us",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: deepseek-v4p1-flash-1017-us
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash-1017-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 $LITELLM_API_KEY" \
  -d '{
    "model": "deepseek-v4p1-flash-1017-us",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

DeepSeek V4p1 Flash 1017 Us FAQ

How much does DeepSeek V4p1 Flash 1017 Us cost?

DeepSeek V4p1 Flash 1017 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 1017 Us?

DeepSeek V4p1 Flash 1017 Us has a 1,048,576-token context window and returns up to 393,216 tokens per response.

Which providers offer DeepSeek V4p1 Flash 1017 Us?

DeepSeek V4p1 Flash 1017 Us is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash-1017-us.

How do I call DeepSeek V4p1 Flash 1017 Us with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash-1017-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 1017 Us support?

DeepSeek V4p1 Flash 1017 Us supports function calling, structured output, image input, reasoning and prompt caching.

When did LiteLLM add DeepSeek V4p1 Flash 1017 Us?

DeepSeek V4p1 Flash 1017 Us was added to LiteLLM's model price file on October 20, 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: Fireworks AI.

Provider pages: Fireworks AI.