DeepSeek: R1 0528

Public pricingIntelligence 83/100Medium memoryRaciocínio profundoUso de ferramentas

DeepSeek: R1 0528 é um modelo texto criado para raciocínio e resolução de problemas. Ele combina raciocínio e planejamento profundos e a flexibilidade de código aberto, um contexto de 164K tokens e um perfil custo equilibrado para entregar trabalho confiável em reasoning, analysis, and hard problem solving.

Input

$0.50/1M

Output

$2.15/1M

Cached

$0.35/1M

Batch

$0.28/1M

Calculate your R1 0528 bill.

Set your workload — see cost at your exact volume.

What would R1 0528 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

R1 0528 at a glance.

Memory

163,840

tokens

Max reply

65,536

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

deepseek

Released

May 2025

Training cutoff

Jul 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    90.8

  • gpqa_diamond

    81

  • aime_2024

    91.4

  • aime_2025

    87.5

  • livecodebench

    73.3

  • aa_intelligence_index

    27

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick R1 0528

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

R1 0528 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, R1 0528 costs roughly $124 per month. Input is $0.50 /1M tokens and output is $2.15 /1M tokens.
R1 0528 has a 163,840-token context window (medium memory — a long report or a codebase file). That means you can fit about 30,720 words of input and history in a single call.
Beyond text generation, R1 0528 supports deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
R1 0528 was released in May 2025, with training data cut off around July 2024.
Models in a similar class include R1 Distill Llama 70B, DeepSeek V3.2 Exp, DeepSeek V3.2. The "Similar models" section below this FAQ links into each.

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