R1 0528

DeepSeekdeepseek/deepseek-r1-0528Providers: 4
Inputi$0.50per 1M tokens
Outputi$2.15per 1M tokens
Contexti160K163,840 tokens
ReleasedMay 28, 2025Max output: 32K

Where it stands

Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.

100110120130140150160170$0.01$0.03$0.1$0.3$1$3$10$30$100Overall indexPrice per million tokens, log scale (3 parts input to 1 part output)↖ Cheaper and smarterR1 0528
Scores: Epoch AI (CC BY 4.0). Prices: OpenRouter. View as a table

About this model

R1 0528 is an AI model from DeepSeek, made available through the API on May 28, 2025. It can read up to 163,840 tokens in one request, roughly 307 pages of text, and write up to 32,768 tokens in a single answer.

Through the API it costs $0.50 per million input tokens and $2.15 per million output tokens. Its pricing sits in the middle of the market.

It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software. Its weights are openly published (deepseek-ai/DeepSeek-R1-0528), so it can also be downloaded and run on your own hardware.

Quality scores

Rankings →
141.3Overall index · #92 of 136
  • GPQA DiamondVery hard multiple-choice questions in biology, physics and chemistry, written by PhD experts. Random guessing scores 25%.76.3%#73 of 116
  • AIME mathCompetition-level math problems in the style of the American Invitational Mathematics Examination. Share solved.66.4%#81 of 112

Benchmark data: Epoch AI, licensed CC BY 4.0

Where to use it

Companies that serve this model through an API: 4. Prices per million tokens, cheapest first.

ProviderInputiOutputiContextiUptime (24 h)i
DeepInfraCheapestfp4
$0.50$2.15160K99.9%
SiliconFlowfp8
$0.50$2.18160K99.8%
StreamLake
$0.57$2.29128K99.4%
Novitafp8
$0.70$2.50160K99.9%

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Use it in your code

Call R1 0528 through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "deepseek/deepseek-r1-0528", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

What it costs in practice

  • 1,000 chat replies
    ≈ 500 tokens in, 300 out each
    $0.895
  • Summarise a 100-page document
    ≈ 50,000 tokens in, 1,000 out
    $0.027
  • An app with 10,000 requests a day for a month
    ≈ 1,000 tokens in, 400 out each
    $408

Cost calculator →

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News about DeepSeek

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Frequently asked questions

How much does R1 0528 cost?
R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.895.
What is the context window of R1 0528?
R1 0528 can read up to 163,840 tokens in one request, about 307 pages of text. It can write up to 32,768 tokens in a single answer.
Is R1 0528 open source?
Yes. Its weights are published (deepseek-ai/DeepSeek-R1-0528), so you can download it and run it on your own hardware, or use it through one of 4 API providers.
Who makes R1 0528?
R1 0528 is made by DeepSeek. It became available through the API on May 28, 2025.
How good is R1 0528?
R1 0528 has an overall index of 141.3 in Epoch AI’s independent tests, ranking #92 of 136 models we track.
Can R1 0528 read images?
No. R1 0528 only accepts text as input.
What are the alternatives to R1 0528?
Models with a similar price from other companies include Seed 2.1 Turbo, Gemini 3 Flash Preview and Mistral Large 3 2512. You can compare them side by side on this page.