DeepSeek V4.1 Flash

DeepSeek V4.1 Flash prompt guide

API and integration

6 source-checked resources
OfficialDeepSeek API Docs

DeepSeek-V4.1-Flash: API Model Aliases and First Call

One-sentence takeaway Use deepseek-flash as the model name for the first call; the old aliases are still accepted, but requests are served by DeepSeek-V4.1-Flash and billed at Flash pricing. The official example uses an OpenAI-compatible format, thinking enabl。

OfficialDeepSeek API Docs

DeepSeek V4.1 Flash Thinking Mode and Reasoning Parameter Configuration

One-sentence takeaway The current API uses deepseek-flash to access DeepSeek-V4.1-Flash; thinking mode is enabled by default with a default effort of high, request tiers map to low, high, or max according to the official mapping, and multi-turn requests with t。

OfficialDeepSeek API Docs

DeepSeek V4.1 Flash: Image Input and Vision Configuration

One-sentence takeaway deepseek-flash (currently corresponding to DeepSeek-V4.1-Flash) accepts messages containing text and images through OpenAI-compatible Chat Completions; images can be supplied as Base64, a public URL, or a Files API fileid, and the choice 。

OfficialDeepSeek API Docs

DeepSeek V4.1 Flash: JSON Question-and-Answer Extraction Prompt

One-sentence takeaway An English systemprompt that includes an example can make the DeepSeek API extract question-and-answer text into JSON; the call must also set responseformat to {'type': 'jsonobject'}. The official documentation also notes that the prompt 。

OfficialDeepSeek API Docs

DeepSeek V4.1 Flash: Tool Calls and Strict Schema Configuration

One-sentence takeaway Tool calling is a two-stage, client-driven process: the model first returns toolcalls, the client executes the function and sends back the role="tool" result, and the model then generates the final answer. When strict beta is enabled, the。

CommunityReddit r/DeepSeek

DeepSeek-V4.1-Flash: Breaking Down Ice Cream App Requirements with a Markdown Specification Document

One-sentence takeaway First have the model turn the requirements into one or more Markdown specification documents, then use those documents to drive implementation; the prompt asks the model to cover target customers, regions, parameters, technical scope, and。

DeepSeek V4.1 Flash

Use in Tabbit

Curated prompt patterns, model settings, and practical examples for DeepSeek V4.1 Flash, with the original source attached to every entry.