R1 0528

by DeepSeek

Zero data retention
deepseek/deepseek-r1-0528
Input
$0.70/1M tokens
Output
$3.01/1M tokens
Context
164Ktokens
Max output
33Ktokens
Knows to
March 2025
Released
28 May 2025

About

May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens.

Pricing

Input$0.70per 1M prompt tokens
Output$3.01per 1M generated tokens, reasoning included
Cached input$0.49per 1M tokens read back from the prompt cache

What a request costs

Typical requestEachPer 1,000
Short chat reply1,500 in · 400 out$0.0023$2.25
Question over a long document40,000 in · 800 out$0.030$30.41
Agent tool step20,000 in · 1,200 out$0.018$17.61

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

Intelligence13.1#182 of 285

Head-to-head rankings

  1. #62Data vizModel arenaElo 118461% wins
  2. #75SVGModel arenaElo 103849% wins
  3. #843DModel arenaElo 111253% wins
  4. #87WebsitesModel arenaElo 115153% wins
  5. #90CodeModel arenaElo 114053% wins
  6. #90UI componentsModel arenaElo 110255% wins
  7. #91Game devModel arenaElo 110149% 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-r1-0528",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'
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-r1-0528",
    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-r1-0528",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);

Parameters this model accepts

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

API reference → · How API billing works →

Prices are USD at the developer-API rate, as of 16 Oct 2026, rebuilt daily from the providers’ live catalogues. ← All models