DeepSeek V4.1 Flash

Reviewed by Proof · Updated

Definition

DeepSeek V4.1 Flash is DeepSeek's MIT-licensed multimodal Mixture-of-Experts model, available on luv13 as luv13/deepseek-v4.1-flash.

Key facts

Model id

luv13/deepseek-v4.1-flash
luv13 price
$0.33 per 1M tokens, input and output
Availability
Available
Maker
DeepSeek
Open weights
Yes
Modalities
  • Text
  • Image
Context window
1M tokens (maker's published figure)
Released

Key takeaways

  • The luv13 model id is luv13/deepseek-v4.1-flash, with a dot in v4.1.
  • Made by DeepSeek. The weights are open, under the MIT license.
  • DeepSeek says it reads images and text and generates text.
  • DeepSeek publishes support for contexts up to 1M tokens. That's the maker's figure, not a luv13 limit.

Overview

DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters. DeepSeek describes it as the smallest model in its new architecture family, trained from scratch on a 45T-token multimodal corpus, with image understanding built in from the start of pre-training.

DeepSeek's model card says it uses a Causal Encoder-Decoder (CED) layout: about 8B parameters active on input (prefill) and 16B on output (decode). DeepSeek also describes compressed sparse attention and FP4 KV caching that cuts the global KV cache footprint to roughly a quarter of its earlier V4-Flash generation. Vision embeddings are trained jointly with text from the start of pre-training, not bolted on later.

DeepSeek says it scores ahead of its own V4-Pro on the benchmarks in its release notes, and it has replaced DeepSeek's earlier V4-Flash models on DeepSeek's own API.

The id comes from live GET https://api.luv13.ai/v1/models; every other fact comes from the maker's sources below. The context window is the maker's published figure, not a luv13 limit; luv13 hasn't published its own per-model limits.

Price on luv13: see Pricing.

Examples

Set your key first: export LUV13_API_KEY=sk-luv13-... (see Keys and Accounts).

curl:

curl https://api.luv13.ai/v1/chat/completions \
  -H "Authorization: Bearer $LUV13_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "luv13/deepseek-v4.1-flash", "messages": [{"role": "user", "content": "Hello"}]}'

Python (pip install openai):

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.luv13.ai/v1", api_key=os.environ["LUV13_API_KEY"])
reply = client.chat.completions.create(
    model="luv13/deepseek-v4.1-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)

JavaScript (npm install openai, Node.js):

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.luv13.ai/v1", apiKey: process.env.LUV13_API_KEY });
const reply = await client.chat.completions.create({
  model: "luv13/deepseek-v4.1-flash",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Without a valid key, all three return HTTP 401 with "type": "invalid_auth" (checked on 2026-09-30). See Errors and Status Codes.

FAQ

What model id do I use on luv13? luv13/deepseek-v4.1-flash, exactly as GET /v1/models lists it. See Model IDs.

Who makes DeepSeek V4.1 Flash? DeepSeek.

Are the weights open? Yes. DeepSeek released them under the MIT license.

Is the context window a luv13 limit? No. It's the maker's published figure. luv13 hasn't published its own per-model limits; see Limits.

How much does it cost on luv13? See Pricing.

Sources