DeepSeek V4 Flash 0423: API price, context window and how to connect

DeepSeek V4 Flash 0423 by DeepSeek: $0.091 per million input tokens, $0.182 per million output tokens, a 1.05M-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

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In this article

In short#

DeepSeek's efficient mixture-of-experts model: 284 billion parameters, 13 billion active, a 1-million-token window. Made for fast and cheap answers. The weights are open.

Specifications#

Provider DeepSeek
Released 2026-04-24
Context window 1.05M tokens
Accepts text
Answers with text
Reasoning mode yes
Tool calling yes
Open weights yes
Identifier deepseek/deepseek-v4-flash

Price#

Per 1M tokens In dollars
Input (question, context) $0.091
Output (answer) $0.182

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.004. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

What it is good for#

  • Fast answers
  • Processing large volumes of text
  • An inexpensive code assistant

Similar models#

Catalog models with the same kind of output, closest in the price of a typical request.

Model Input Output Window Price
GLM 5.3 Flash $0.048 $0.2 1.05M 1.2× cheaper
Llama 4 Scout $0.1 $0.3 1.31M 1.4× more expensive
Llama 3.3 70B Instruct $0.1 $0.32 131K 1.5× more expensive
GPT-6 Luna $0.1 $0.5 1.05M 2× more expensive
GPT-6 Luna Pro $0.1 $0.5 1.05M 2× more expensive

Other DeepSeek models#

How to connect in SKILLOK#

DeepSeek V4 Flash 0423 works through OpenRouter: add an OpenRouter key in Settings → AI and pick the deepseek/deepseek-v4-flash model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — Connecting a model in SKILLOK.

Where the data comes from#

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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