DeepSeek V4p1 Flash 1017 Us API Pricing
- 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.
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.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Fireworks AI | fireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash-1017-us | $0.45 | $1.80 | $0.009 | 1M |
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
- Function calling
- Structured output
- Image input
- Reasoning
- Prompt caching
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.
from litellm import completion
response = completion(
model="fireworks_ai/accounts/fireworks/models/deepseek-v4p1-flash-1017-us",
messages=[{"role": "user", "content": "Hello!"}],
)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_KEYcurl 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.
