DeepSeek: R1 0528

Public pricingIntelligence 83/100Medium memoryगहरी सोचटूल उपयोग

DeepSeek: R1 0528 एक टेक्स्ट मॉडल है, जिसे तर्क और समस्या समाधान के लिए बनाया गया है। यह गहरी तर्कशक्ति और योजना، open-source flexibility, 164K tokens का context और संतुलित लागत profile जोड़कर reasoning, analysis, and hard problem solving में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

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.

Still unsure?

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