DeepSeek V4.1 Flash is the current build in DeepSeek's Flash line: a chat and reasoning model with a 1M-token context window, thinking mode enabled by default and image understanding. DeepSeek reports that it surpasses V4 Pro on performance, cost and speed.
Compared with earlier Flash builds, the notable change is multimodal input — the model reads images alongside text rather than text alone.
Whole-repository and long-document work
A 1M-token window holds an entire codebase or a stack of filings in a single prompt, and a 384K output ceiling leaves room for long answers.
Multimodal analysis
Image understanding lets screenshots, diagrams and scanned pages go straight into the same request as the text.
Agentic workflows
Tool calling and structured outputs suit agent loops that plan, call tools and iterate.
The model also answers to the shorter alias deepseek-flash.
Available on AI/ML API since September 10, 2026.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
DeepSeek V4.1 Flash is documented as suited to multimodal image-and-text tasks, with native support for processing images and text. It is also positioned for code-related work through official partner support with CodeBuddy and OpenCode. The model is further presented as a fit for agentic or tool-use workflows in the provider ecosystem.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "deepseek/deepseek-v4.1-flash", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "deepseek/deepseek-v4.1-flash", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"deepseek/deepseek-v4.1-flash","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 39.5 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
DeepSeek V4.1 Flash This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows |
DeepSeek V4.1 Flash is the current build in DeepSeek's Flash line: a chat and reasoning model with a 1M-token context window, thinking mode enabled by default and image understanding.
DeepSeek reports that V4.1 Flash surpasses V4 Pro on performance, cost and speed. It also accepts image input, which V4 Pro does not.
Yes. It takes both image and text input and returns text, so screenshots, diagrams and scanned pages can go into the same request as your prompt.
Yes. Thinking mode is enabled by default, so the model reasons through a problem before answering unless you tell it otherwise.
1,048,576 tokens, with up to 384,000 tokens of output.
Yes, it supports function calling and structured outputs, alongside streaming responses.
Work that needs a very large window: whole-repository code analysis, long-document review, and agent loops that accumulate a lot of context. Image input widens that to mixed text-and-visual material.
Yes. The model also answers to the alias deepseek-flash.
Send a request to the chat completions endpoint with the model id deepseek/deepseek-v4.1-flash. The request shape is the same as for any other chat model on AI/ML API.
