LiteLLMModels

DeepSeek V4.1 Flash 1017 Fast API Pricing

By DeepSeek · 1 providerbaseten/deepseek-ai/DeepSeek-V4.1-Flash-1017-FastCompare
Input / output
$0.60 / $2.40 per 1M tokens
Cache read
$0.014 / 1M
Context
1M tokens
Max output
256K tokens

As of October 21, 2026, DeepSeek V4.1 Flash 1017 Fast costs $0.60 per 1M input tokens and $2.40 per 1M output tokens on Baseten, with cache reads at $0.014 per 1M tokens. It has a 1,048,576-token context window and returns up to 262,144 tokens per response.

Prices updated Checked

DeepSeek V4.1 Flash 1017 Fast 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 V4.1 Flash 1017 Fast 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
Basetenbaseten/deepseek-ai/DeepSeek-V4.1-Flash-1017-Fast$0.60$2.40$0.0141M

What DeepSeek V4.1 Flash 1017 Fast costs in practice

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

Baseten$2.40

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

Baseten$6.48

DeepSeek V4.1 Flash 1017 Fast cost calculator

At Baseten's price ($0.60 input, $2.40 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $18.00 a day, about $540 a month. Change the numbers for your workload, or compare it with other models.

Per request
$0.0018
Per day
$18.00
Per month (30 days)
$540

DeepSeek V4.1 Flash 1017 Fast features

Use DeepSeek V4.1 Flash 1017 Fast with LiteLLM

Call DeepSeek V4.1 Flash 1017 Fast 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="baseten/deepseek-ai/DeepSeek-V4.1-Flash-1017-Fast",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: deepseek-v4.1-flash-1017-fast
    litellm_params:
      model: baseten/deepseek-ai/DeepSeek-V4.1-Flash-1017-Fast
      # credentials: see the provider's LiteLLM docs page
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-v4.1-flash-1017-fast",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

DeepSeek V4.1 Flash 1017 Fast FAQ

How much does DeepSeek V4.1 Flash 1017 Fast cost?

DeepSeek V4.1 Flash 1017 Fast costs $0.60 per 1M input tokens and $2.40 per 1M output tokens on Baseten, with cache reads at $0.014 per 1M tokens.

What is the context window of DeepSeek V4.1 Flash 1017 Fast?

DeepSeek V4.1 Flash 1017 Fast has a 1,048,576-token context window and returns up to 262,144 tokens per response.

Which providers offer DeepSeek V4.1 Flash 1017 Fast?

DeepSeek V4.1 Flash 1017 Fast is available from Baseten through LiteLLM, using the model name baseten/deepseek-ai/DeepSeek-V4.1-Flash-1017-Fast.

How do I call DeepSeek V4.1 Flash 1017 Fast with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="baseten/deepseek-ai/DeepSeek-V4.1-Flash-1017-Fast", 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 1017 Fast support?

DeepSeek V4.1 Flash 1017 Fast supports function calling, structured output, image input, reasoning and prompt caching.

When did LiteLLM add DeepSeek V4.1 Flash 1017 Fast?

DeepSeek V4.1 Flash 1017 Fast was added to LiteLLM's model price file on October 18, 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: Baseten.

Provider pages: Baseten.