DeepSeek V4 Pro Fast API Pricing

By DeepSeek · 1 providerwally/deepseek-v4-pro-fastCompare

Input / output: $1.91 / $3.83 per 1M tokens
Cache read: $0.16 / 1M
Context: 1M tokens
Max output: 64K tokens
Added: Nov 4, 2026

As of November 7, 2026, DeepSeek V4 Pro Fast costs $1.91 per 1M input tokens and $3.83 per 1M output tokens on Wally, with cache reads at $0.16 per 1M tokens. It has a 1,048,576-token context window and returns up to 65,536 tokens per response.

Prices updated November 4, 2026Checked November 7, 2026

DeepSeek V4 Pro 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 Pro Fast prices by provider in US dollars, token prices per 1M tokens, as of November 7, 2026. Source: LiteLLM model price file.
Provider	Model name in LiteLLM	Input	Output	Cache read	Context
Wally	`wally/deepseek-v4-pro-fast`	$1.91	$3.83	$0.16	1M

What DeepSeek V4 Pro Fast costs in practice

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

Wally

$5.735

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

Wally

$19.87

DeepSeek V4 Pro Fast cost calculator

At Wally's price ($1.91 input, $3.83 output per 1M tokens), 10,000 requests a day with 1,000 input and 500 output tokens each cost $38.25 a day, about $1,148 a month. Change the numbers for your workload, or compare it with other models.

Input tokens per requestOutput tokens per requestRequests per day

Per request: $0.003825
Per day: $38.25
Per month (30 days): $1,148

DeepSeek V4 Pro Fast features

Input: text. Output: text.

Function calling
Structured output
Image input
Reasoning
Prompt caching

Use DeepSeek V4 Pro Fast with LiteLLM

Call DeepSeek V4 Pro 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="wally/deepseek-v4-pro-fast",
    messages=[{"role": "user", "content": "Hello!"}],
)

Proxy config.yaml

model_list:
  - model_name: deepseek-v4-pro-fast
    litellm_params:
      model: wally/deepseek-v4-pro-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-pro-fast",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

DeepSeek V4 Pro Fast FAQ

How much does DeepSeek V4 Pro Fast cost?

DeepSeek V4 Pro Fast costs $1.91 per 1M input tokens and $3.83 per 1M output tokens on Wally, with cache reads at $0.16 per 1M tokens.

What is the context window of DeepSeek V4 Pro Fast?

DeepSeek V4 Pro Fast has a 1,048,576-token context window and returns up to 65,536 tokens per response.

Which providers offer DeepSeek V4 Pro Fast?

DeepSeek V4 Pro Fast is available from Wally through LiteLLM, using the model name wally/deepseek-v4-pro-fast.

How do I call DeepSeek V4 Pro Fast with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="wally/deepseek-v4-pro-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 Pro Fast support?

DeepSeek V4 Pro Fast supports function calling, structured output, reasoning and prompt caching. It does not support image input.

When did LiteLLM add DeepSeek V4 Pro Fast?

DeepSeek V4 Pro Fast 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:

www.runwally.com/pricing

LiteLLM docs: Wally.

Provider pages: Wally.