DeepSeek V4.1 Flash 1017 pricing and specs

Input costs $0.15 per 1M tokens (12.38 ₽) and output costs $0.6 per 1M (49.53 ₽). DeepSeek bills the prompt and the completion separately, so the price of a call depends on how long both are. Ruble figures use the Bank of Russia rate of 82.55 ₽ per dollar for November 2026.

List prices are quoted per 1M tokens, so 1,000 tokens cost a thousandth of that: divide $0.15 for input and $0.6 for output by 1,000. The same rates in rubles are 12.38 ₽ and 49.53 ₽ per 1M tokens. Both prompt tokens and completion tokens are billed.

The DeepSeek V4.1 Flash 1017 context window is 1.0M tokens (1,048,576). Everything shares that budget: the system prompt, the dialogue history, attached files and the answer the model writes. The figure comes from the DeepSeek model card as of November 2026.

The context window is 1.0M tokens (1,048,576) and a single response is capped at 393K tokens, so longer output has to be generated in parts. Rate limits are set by DeepSeek per account and depend on your plan rather than on the model, so they are not listed here.

Providers quote their tariffs in US dollars, so the ruble amounts here are a conversion at the official Bank of Russia rate of 82.55 ₽ per dollar. For DeepSeek V4.1 Flash 1017 that gives 12.38 ₽ per 1M input tokens and 49.53 ₽ per 1M output tokens. When the rate moves, the ruble price moves with it.

DeepSeek V4.1 Flash 1017 belongs to the DeepSeek Flash family at DeepSeek. Models in the DeepSeek line differ in context size, price per 1M tokens and supported capabilities, so compare them by the numbers on their cards rather than by the name. Every DeepSeek model is listed on the provider page.

Yes, DeepSeek V4.1 Flash 1017 declares a reasoning mode: it works through intermediate steps before it answers. Those steps add output tokens, so a call with a long reasoning chain costs more and takes longer than a plain completion. Capabilities declared for the model: reasoning, tool calling, image input, structured output.

The declared capabilities of DeepSeek V4.1 Flash 1017 are: reasoning, tool calling, image input, structured output. It accepts text, images as input, and every attachment consumes tokens from the shared context window of 1.0M tokens. The list comes from the DeepSeek model card and is refreshed with the catalog as of November 2026.

Yes, DeepSeek V4.1 Flash 1017 ships with open weights, so it can be downloaded and served on your own hardware instead of being used only through the DeepSeek API. What you may do with it is set by the license shown on the card. Catalog prices cover hosted API access.