DeepSeek V4.1 Flash 1017 (batch)

by DeepSeek

New
deepseek/deepseek-v4.1-flash-1017:batch
Input
$0.02/1M tokens
Output
$0.28/1M tokens
Context
1Mtokens
Max output
944Ktokens
Knows to
-
Released
17 Oct 2026

About

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name.

Pricing

Input$0.02per 1M prompt tokens
Output$0.28per 1M generated tokens, reasoning included
Cached input<$0.01per 1M tokens read back from the prompt cache

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.0001$0.135
Question over a long document40,000 in · 800 out$0.0008$0.840
Agent tool step20,000 in · 1,200 out$0.0006$0.644

At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.

Benchmarks

Intelligence28.6#38 of 83

Head-to-head rankings

  1. #6spreadsheetAgent arenaElo 130955% wins
  2. #103DModel arenaElo 135447% wins
  3. #17SVGModel arenaElo 125152% wins
  4. #17WebsitesModel arenaElo 129452% wins
  5. #18UI componentsModel arenaElo 129650% wins
  6. #19CodeModel arenaElo 128849% wins
  7. #20ASCII artModel arenaElo 123748% wins
  8. #27Game devModel arenaElo 126344% wins
  9. #29Data vizModel arenaElo 126350% wins

Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.

Call it from code

OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set model. Keys are created in the app under Settings.

cURL
curl https://api.privateer.pro/v1/chat/completions \
  -H "Authorization: Bearer $PRIVATEER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-v4.1-flash-1017:batch",
    "messages": [{ "role": "user", "content": "Hello" }],
    "reasoning": { "effort": "max" }
  }'
Python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.privateer.pro/v1",
    api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
    model="deepseek/deepseek-v4.1-flash-1017:batch",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)
JavaScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.privateer.pro/v1",
  apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
  model: "deepseek/deepseek-v4.1-flash-1017:batch",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 9 Nov 2026, rebuilt daily from the providers’ live catalogues. ← All models